olmoearth_lcc / training_data /eval_points.json
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Move eval_points.json to training_data/
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[{"projection": {"crs": "EPSG:32646", "x_resolution": 10, "y_resolution": -10}, "bounds": [24349, -263012, 24477, -262884], "window_name": "bangladesh_dhaka_east_wetlands_016_437b90b512", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 90.48963767063499, "lat": 23.75604993329588, "pre_change": "2021-01-06", "first_date_change_noticeable": "2021-04-26", "post_change": "2021-04-26", "pre_category": "crops", "post_category": "bare"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "bangladesh_dhaka_east_wetlands", "tile_bounds": [90.4, 23.7, 90.5, 23.8], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 16, "macro_region": "South Asia", "country": "Bangladesh", "site": "Eastern Dhaka peri-urban wetlands", "change_type": "urban wetland loss", "expected_change": "Seasonal wetland vegetation water and bare fill converting to built-up urban land roads and construction fill.", "evidence_urls": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12775484/;https://pubmed.ncbi.nlm.nih.gov/41495102/", "notes": "Dhaka source reports 2000 to 2022 built-up expansion and loss of seasonal wetland vegetation.", "output_index": 0}}, {"projection": {"crs": "EPSG:32647", "x_resolution": 10, "y_resolution": -10}, "bounds": [63995, -399835, 64123, -399707], "window_name": "china_qinghai_talatan_solar_002_eb4eb73418", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 100.5621278668375, "lat": 36.113823133427545}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_qinghai_talatan_solar", "tile_bounds": [100.5, 36.1, 100.6, 36.2], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 2, "macro_region": "East Asia", "country": "China", "site": "Gonghe Talatan Solar Park Qinghai", "change_type": "renewable energy", "expected_change": "Semi-arid grassland and bare ground converting to large photovoltaic arrays and service roads.", "evidence_urls": "https://www.pv-magazine.fr/2022/07/20/serie-dete-les-plus-grandes-centrales-solaires-du-monde-le-parc-gonghe-chine/;https://en.wikipedia.org/wiki/Talatan_Solar_Park", "notes": "Tile targets the large Gonghe/Talatan solar cluster near Longyangxia.", "output_index": 1}}, {"projection": {"crs": "EPSG:32748", "x_resolution": 10, "y_resolution": -10}, "bounds": [72395, -930137, 72523, -930009], "window_name": "indonesia_bekasi_cikarang_004_e2e443ffa7", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 107.03025717774054, "lat": -6.32232470922034}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "indonesia_bekasi_cikarang", "tile_bounds": [107.0, -6.4, 107.1, -6.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 4, "macro_region": "Southeast Asia", "country": "Indonesia", "site": "Bekasi-Cikarang urban and industrial fringe", "change_type": "urban industrial expansion", "expected_change": "Cropland and open land converting to industrial estates housing roads and impervious urban surfaces.", "evidence_urls": "https://www.sciencedirect.com/science/article/pii/S2210670724001744;https://www.researchgate.net/publication/366536319_Monitoring_20_Years_of_Land_Cover_Change_Dynamics_in_The_Satellite_Cities_of_Jakarta_Indonesia", "notes": "Tile targets Jakarta's eastern satellite-city expansion where outward built-up growth is well documented.", "output_index": 2}}, {"projection": {"crs": "EPSG:32647", "x_resolution": 10, "y_resolution": -10}, "bounds": [63877, -400595, 64005, -400467], "window_name": "china_qinghai_talatan_solar_024_023e7b316d", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 100.55025631317295, "lat": 36.180712928805185, "pre_change": "2021-09-07", "first_date_change_noticeable": "2021-10-02", "post_change": "2021-10-02", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [{"lon": 100.55041715971524, "lat": 36.18247166481378}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_qinghai_talatan_solar", "tile_bounds": [100.5, 36.1, 100.6, 36.2], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 24, "macro_region": "East Asia", "country": "China", "site": "Gonghe Talatan Solar Park Qinghai", "change_type": "renewable energy", "expected_change": "Semi-arid grassland and bare ground converting to large photovoltaic arrays and service roads.", "evidence_urls": "https://www.pv-magazine.fr/2022/07/20/serie-dete-les-plus-grandes-centrales-solaires-du-monde-le-parc-gonghe-chine/;https://en.wikipedia.org/wiki/Talatan_Solar_Park", "notes": "Tile targets the large Gonghe/Talatan solar cluster near Longyangxia.", "output_index": 3}}, {"projection": {"crs": "EPSG:32631", "x_resolution": 10, "y_resolution": -10}, "bounds": [54884, -71780, 55012, -71652], "window_name": "nigeria_eko_atlantic_lagos_027_c1816bb93c", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 3.447549613108349, "lat": 6.487892117825821}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "nigeria_eko_atlantic_lagos", "tile_bounds": [3.4, 6.4, 3.5, 6.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 27, "macro_region": "Africa", "country": "Nigeria", "site": "Eko Atlantic and Lagos waterfront", "change_type": "coastal reclamation urbanization", "expected_change": "Open water reclaimed sand and bare construction areas converting to new coastal urban land roads and buildings.", "evidence_urls": "https://www.ekoatlantic.com/wp-content/uploads/2012/12/EKOATLANTIC_Broch_2012.pdf;https://en.wikipedia.org/wiki/Eko_Atlantic", "notes": "Tile spans the Lagos waterfront where reclamation and construction are visually distinctive.", "output_index": 4}}, {"projection": {"crs": "EPSG:32639", "x_resolution": 10, "y_resolution": -10}, "bounds": [54160, -282043, 54288, -281915], "window_name": "qatar_lusail_north_doha_002_80fab59d39", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 51.419323882731284, "lat": 25.495413682347632, "pre_change": "2023-05-04", "first_date_change_noticeable": "2023-10-21", "post_change": "2023-10-21", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [{"lon": 51.42032802604753, "lat": 25.494610711184432}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "qatar_lusail_north_doha", "tile_bounds": [51.4, 25.4, 51.5, 25.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 2, "macro_region": "Middle East", "country": "Qatar", "site": "Lusail and north Doha", "change_type": "urban expansion", "expected_change": "Desert and construction surfaces converting to dense urban fabric roads stadium infrastructure and landscaped urban areas around Lusail.", "evidence_urls": "https://eros.usgs.gov/earthshots/doha-qatar;https://www.sstl.co.uk/media-hub/latest-news/2022/new-fifa-2022-lusail-stadium-in-build-image", "notes": "Good high-contrast urban/desert tile tied to World Cup-era development.", "output_index": 5}}, {"projection": {"crs": "EPSG:32642", "x_resolution": 10, "y_resolution": -10}, "bounds": [79414, -305576, 79542, -305448], "window_name": "india_bhadla_solar_000_9b86f45047", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 71.98605144348579, "lat": 27.587878061458706}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "india_bhadla_solar", "tile_bounds": [71.9, 27.5, 72.0, 27.6], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 0, "macro_region": "South Asia", "country": "India", "site": "Bhadla Solar Park Rajasthan", "change_type": "renewable energy", "expected_change": "Arid desert land converting to dense photovoltaic arrays service roads and grid infrastructure.", "evidence_urls": "https://en.wikipedia.org/wiki/Bhadla_Solar_Park", "notes": "Use as a large high-contrast renewable-energy tile; check imagery dates because some phases predate 2020.", "output_index": 6}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [29472, -302002, 29600, -301874], "window_name": "china_baihetan_reservoir_048_3584378863", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 102.93257145820702, "lat": 27.282109205261868}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_baihetan_reservoir", "tile_bounds": [102.9, 27.2, 103.0, 27.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 48, "macro_region": "East Asia", "country": "China", "site": "Baihetan Dam and Jinsha River reservoir", "change_type": "reservoir filling", "expected_change": "River valley and shoreline areas converting to reservoir water after initial impoundment began in 2021.", "evidence_urls": "https://www.nature.com/articles/s41598-023-48052-1;https://en.wikipedia.org/wiki/Baihetan_Dam", "notes": "Nature paper reports Baihetan initial water storage beginning April 2021.", "output_index": 7}}, {"projection": {"crs": "EPSG:32721", "x_resolution": 10, "y_resolution": -10}, "bounds": [67390, -922417, 67518, -922289], "window_name": "brazil_br163_novo_progresso_025_958b742024", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -55.41990491010385, "lat": -7.021705454085349, "pre_change": "2021-05-26", "first_date_change_noticeable": "2021-08-09", "post_change": "2021-08-09", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "brazil_br163_novo_progresso", "tile_bounds": [-55.5, -7.1, -55.4, -7.0], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 25, "macro_region": "South America", "country": "Brazil", "site": "BR-163 forest frontier near Novo Progresso", "change_type": "deforestation agriculture", "expected_change": "Amazon forest converting to cleared pasture fields burn scars and access tracks along the BR-163 development corridor.", "evidence_urls": "https://www.maapprogram.org/special-analysis/deforestation-hotspots/;https://arxiv.org/abs/2211.09806", "notes": "Chosen as a BR-163 corridor stress case for forest-to-agriculture and forest-to-pasture conversion.", "output_index": 8}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [50872, -415176, 51000, -415048], "window_name": "china_ningxia_tengger_solar_026_2b956d5f10", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 105.10596511256443, "lat": 37.506944160271125}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_ningxia_tengger_solar", "tile_bounds": [105.1, 37.5, 105.2, 37.6], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 26, "macro_region": "East Asia", "country": "China", "site": "Tengger Desert Solar Park near Zhongwei", "change_type": "renewable energy", "expected_change": "Desert converting to photovoltaic arrays plus new internal roads and energy infrastructure.", "evidence_urls": "https://science.nasa.gov/earth/earth-observatory/solar-powered-china-145159;https://en.wikipedia.org/wiki/Tengger_Desert_Solar_Park", "notes": "NASA describes the Tengger solar park as a 43 square kilometer solar installation.", "output_index": 9}}, {"projection": {"crs": "EPSG:32750", "x_resolution": 10, "y_resolution": -10}, "bounds": [46927, -989561, 47055, -989433], "window_name": "indonesia_nusantara_core_020_7ecf2e9ac9", "group": "evaluation_tiles", "time_range": ["2021-01-01T00:00:00+00:00", "2024-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 116.72910189756611, "lat": -0.9509448850914891}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "indonesia_nusantara_core", "tile_bounds": [116.7, -1.0, 116.8, -0.9], "tile_year": 2022, "compare_from_year": 2021, "compare_to_year": 2023, "point_index_within_tile": 20, "macro_region": "Southeast Asia", "country": "Indonesia", "site": "Nusantara new capital core area", "change_type": "urban infrastructure forest clearing", "expected_change": "Forest plantation and rural land converting to cleared corridors roads government-area construction and exposed soil.", "evidence_urls": "https://visibleearth.nasa.gov/images/152471/nusantara-a-new-capital-city-in-the-forest;https://www.newsweek.com/nusantara-indonesia-capital-satellite-photos-1893427", "notes": "NASA describes rapid change at the future capital site between 2022 and 2024.", "output_index": 10}}, {"projection": {"crs": "EPSG:32719", "x_resolution": 10, "y_resolution": -10}, "bounds": [57682, -739733, 57810, -739605], "window_name": "chile_salar_atacama_lithium_035_a84c0b4223", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -68.24110738998927, "lat": -23.538264154985526}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "chile_salar_atacama_lithium", "tile_bounds": [-68.3, -23.6, -68.2, -23.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 35, "macro_region": "South America", "country": "Chile", "site": "Salar de Atacama lithium evaporation ponds", "change_type": "mining evaporation ponds", "expected_change": "Salt flat converting to expanded evaporation ponds roads and industrial lithium-extraction surfaces.", "evidence_urls": "https://www.earthobservatory.nasa.gov/images/144393/where-batteries-begin;https://eros.usgs.gov/earthshots/ponds", "notes": "NASA describes increasing evaporation ponds at Salar de Atacama to meet lithium demand.", "output_index": 11}}, {"projection": {"crs": "EPSG:32611", "x_resolution": 10, "y_resolution": -10}, "bounds": [70323, -398990, 70451, -398862], "window_name": "us_lake_mead_boulder_basin_041_7eda74b826", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -114.73732788245273, "lat": 36.02647494760703}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_lake_mead_boulder_basin", "tile_bounds": [-114.8, 36.0, -114.7, 36.1], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 41, "macro_region": "North America", "country": "United States", "site": "Lake Mead Boulder Basin shoreline", "change_type": "water recession", "expected_change": "Reservoir water converting to exposed sediment shoreline and dry land during the 2021-2022 low-water period.", "evidence_urls": "https://science.nasa.gov/photojournal/lake-mead-2021/", "notes": "NASA describes Lake Mead dropping to its lowest level ever in 2021.", "output_index": 12}}, {"projection": {"crs": "EPSG:32639", "x_resolution": 10, "y_resolution": -10}, "bounds": [54333, -281801, 54461, -281673], "window_name": "qatar_lusail_north_doha_042_9793b7074f", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 51.43423014433554, "lat": 25.47426916152047, "pre_change": "2023-05-04", "first_date_change_noticeable": "2023-10-21", "post_change": "2023-10-21", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [{"lon": 51.43751753036592, "lat": 25.472722361864772}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "qatar_lusail_north_doha", "tile_bounds": [51.4, 25.4, 51.5, 25.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 42, "macro_region": "Middle East", "country": "Qatar", "site": "Lusail and north Doha", "change_type": "urban expansion", "expected_change": "Desert and construction surfaces converting to dense urban fabric roads stadium infrastructure and landscaped urban areas around Lusail.", "evidence_urls": "https://eros.usgs.gov/earthshots/doha-qatar;https://www.sstl.co.uk/media-hub/latest-news/2022/new-fifa-2022-lusail-stadium-in-build-image", "notes": "Good high-contrast urban/desert tile tied to World Cup-era development.", "output_index": 13}}, {"projection": {"crs": "EPSG:32748", "x_resolution": 10, "y_resolution": -10}, "bounds": [73144, -930023, 73272, -929895], "window_name": "indonesia_bekasi_cikarang_008_aa063e6312", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 107.0979016333202, "lat": -6.332342783635647}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "indonesia_bekasi_cikarang", "tile_bounds": [107.0, -6.4, 107.1, -6.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 8, "macro_region": "Southeast Asia", "country": "Indonesia", "site": "Bekasi-Cikarang urban and industrial fringe", "change_type": "urban industrial expansion", "expected_change": "Cropland and open land converting to industrial estates housing roads and impervious urban surfaces.", "evidence_urls": "https://www.sciencedirect.com/science/article/pii/S2210670724001744;https://www.researchgate.net/publication/366536319_Monitoring_20_Years_of_Land_Cover_Change_Dynamics_in_The_Satellite_Cities_of_Jakarta_Indonesia", "notes": "Tile targets Jakarta's eastern satellite-city expansion where outward built-up growth is well documented.", "output_index": 14}}, {"projection": {"crs": "EPSG:32611", "x_resolution": 10, "y_resolution": -10}, "bounds": [70074, -399181, 70202, -399053], "window_name": "us_lake_mead_boulder_basin_002_1b15374a76", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -114.76443491343517, "lat": 36.04418780011424}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_lake_mead_boulder_basin", "tile_bounds": [-114.8, 36.0, -114.7, 36.1], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 2, "macro_region": "North America", "country": "United States", "site": "Lake Mead Boulder Basin shoreline", "change_type": "water recession", "expected_change": "Reservoir water converting to exposed sediment shoreline and dry land during the 2021-2022 low-water period.", "evidence_urls": "https://science.nasa.gov/photojournal/lake-mead-2021/", "notes": "NASA describes Lake Mead dropping to its lowest level ever in 2021.", "output_index": 15}}, {"projection": {"crs": "EPSG:32646", "x_resolution": 10, "y_resolution": -10}, "bounds": [24133, -262890, 24261, -262762], "window_name": "bangladesh_dhaka_east_wetlands_010_4d4183fa8f", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 90.46954899565303, "lat": 23.745118346556975, "pre_change": "2018-05-12", "first_date_change_noticeable": "2018-10-24", "post_change": "2018-10-24", "pre_category": "crops", "post_category": "urban/built-up"}], "negative_points": [{"lon": 90.46821528105556, "lat": 23.744519597203944}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "bangladesh_dhaka_east_wetlands", "tile_bounds": [90.4, 23.7, 90.5, 23.8], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 10, "macro_region": "South Asia", "country": "Bangladesh", "site": "Eastern Dhaka peri-urban wetlands", "change_type": "urban wetland loss", "expected_change": "Seasonal wetland vegetation water and bare fill converting to built-up urban land roads and construction fill.", "evidence_urls": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12775484/;https://pubmed.ncbi.nlm.nih.gov/41495102/", "notes": "Dhaka source reports 2000 to 2022 built-up expansion and loss of seasonal wetland vegetation.", "output_index": 16}}, {"projection": {"crs": "EPSG:32631", "x_resolution": 10, "y_resolution": -10}, "bounds": [55117, -71641, 55245, -71513], "window_name": "nigeria_eko_atlantic_lagos_005_73ba293691", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 3.4686532879973124, "lat": 6.475220038594123}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "nigeria_eko_atlantic_lagos", "tile_bounds": [3.4, 6.4, 3.5, 6.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 5, "macro_region": "Africa", "country": "Nigeria", "site": "Eko Atlantic and Lagos waterfront", "change_type": "coastal reclamation urbanization", "expected_change": "Open water reclaimed sand and bare construction areas converting to new coastal urban land roads and buildings.", "evidence_urls": "https://www.ekoatlantic.com/wp-content/uploads/2012/12/EKOATLANTIC_Broch_2012.pdf;https://en.wikipedia.org/wiki/Eko_Atlantic", "notes": "Tile spans the Lagos waterfront where reclamation and construction are visually distinctive.", "output_index": 17}}, {"projection": {"crs": "EPSG:32649", "x_resolution": 10, "y_resolution": -10}, "bounds": [27742, -126753, 27870, -126625], "window_name": "vietnam_ninh_thuan_solar_008_557e5c1ccb", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [{"lon": 108.96580545822373, "lat": 11.45342734501594, "pre_change": "2022-02-26", "first_date_change_noticeable": "2022-04-17", "post_change": "2023-05-02", "pre_category": "bare", "post_category": 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-126088], "window_name": "vietnam_ninh_thuan_solar_011_7d8da9fad0", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [{"lon": 108.970469239399, "lat": 11.404236945023126, "pre_change": "2021-11-08", "first_date_change_noticeable": "2022-02-26", "post_change": "2022-02-26", "pre_category": "bare", "post_category": "crops"}], "negative_points": [{"lon": 108.968839618365, "lat": 11.404746246616758}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "vietnam_ninh_thuan_solar", "tile_bounds": [108.9, 11.4, 109.0, 11.5], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 11, "macro_region": "Southeast Asia", "country": "Vietnam", "site": "Ninh Thuan solar buildout", "change_type": "renewable energy", "expected_change": "Dry cropland or scrub converting to solar arrays and grid infrastructure during Vietnam's 2020 solar buildout.", "evidence_urls": "https://en.vietstock.vn/2020/10/trung-nam-kicks-off-vietnams-largest-solar-farm-project-974-423050.htm;https://en.vietnamplus.vn/35mwp-solar-power-farm-opens-in-ninh-thuan-post178306.vnp", "notes": "Uses 2020 center year because several Ninh Thuan solar projects were built or opened in 2020.", "output_index": 19}}, {"projection": {"crs": "EPSG:32642", "x_resolution": 10, "y_resolution": -10}, "bounds": [78703, -305161, 78831, -305033], "window_name": "india_bhadla_solar_029_f732bc6c4d", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 71.91536846010088, "lat": 27.55601913160642}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "india_bhadla_solar", "tile_bounds": [71.9, 27.5, 72.0, 27.6], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 29, "macro_region": "South Asia", "country": "India", "site": "Bhadla Solar Park Rajasthan", "change_type": "renewable energy", "expected_change": "Arid desert land converting to dense photovoltaic arrays service roads and grid infrastructure.", "evidence_urls": "https://en.wikipedia.org/wiki/Bhadla_Solar_Park", "notes": "Use as a large high-contrast renewable-energy tile; check imagery dates because some phases predate 2020.", "output_index": 20}}, {"projection": {"crs": "EPSG:32721", "x_resolution": 10, "y_resolution": -10}, "bounds": [67421, -922370, 67549, -922242], "window_name": "brazil_br163_novo_progresso_032_c6ec02cc33", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -55.41639448862906, "lat": -7.024076111150275, "pre_change": "2024-04-30", "first_date_change_noticeable": "2024-06-19", "post_change": "2024-06-19", "pre_category": "grassland", "post_category": "urban/built-up"}], "negative_points": [{"lon": -55.41704064487342, "lat": -7.026257250054167}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "brazil_br163_novo_progresso", "tile_bounds": [-55.5, -7.1, -55.4, -7.0], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 32, "macro_region": "South America", "country": "Brazil", "site": "BR-163 forest frontier near Novo Progresso", "change_type": "deforestation agriculture", "expected_change": "Amazon forest converting to cleared pasture fields burn scars and access tracks along the BR-163 development corridor.", "evidence_urls": "https://www.maapprogram.org/special-analysis/deforestation-hotspots/;https://arxiv.org/abs/2211.09806", "notes": "Chosen as a BR-163 corridor stress case for forest-to-agriculture and forest-to-pasture conversion.", "output_index": 21}}, {"projection": {"crs": "EPSG:32613", "x_resolution": 10, "y_resolution": -10}, "bounds": [60973, -351508, 61101, -351380], "window_name": "us_permian_basin_pads_027_b2003f59a7", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -103.83456584713569, "lat": 31.76007378245875}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_permian_basin_pads", "tile_bounds": [-103.9, 31.7, -103.8, 31.8], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 27, "macro_region": "North America", "country": "United States", "site": "Permian Basin oil and gas development", "change_type": "oil gas surface disturbance", "expected_change": "Desert shrubland converting to well pads roads pipeline corridors and cleared industrial surfaces.", "evidence_urls": "https://www.beg.utexas.edu/articles/2020/08/projected-landscape-impacts-from-oil-and-gas-development-scenarios-in-the-permian-basin-usa;https://acp.copernicus.org/preprints/acp-2020-1175/acp-2020-1175.pdf", "notes": "Selected for small repeated anthropogenic disturbances rather than one large polygon.", "output_index": 22}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [29876, -301975, 30004, -301847], "window_name": "china_baihetan_reservoir_031_71ef9370ee", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 102.97334964841443, "lat": 27.280308872460367}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_baihetan_reservoir", "tile_bounds": [102.9, 27.2, 103.0, 27.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 31, "macro_region": "East Asia", "country": "China", "site": "Baihetan Dam and Jinsha River reservoir", "change_type": "reservoir filling", "expected_change": "River valley and shoreline areas converting to reservoir water after initial impoundment began in 2021.", "evidence_urls": "https://www.nature.com/articles/s41598-023-48052-1;https://en.wikipedia.org/wiki/Baihetan_Dam", "notes": "Nature paper reports Baihetan initial water storage beginning April 2021.", "output_index": 23}}, {"projection": {"crs": "EPSG:32614", "x_resolution": 10, "y_resolution": -10}, "bounds": [62748, -334823, 62876, -334695], "window_name": "us_giga_texas_austin_024_ef1afe45cb", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -97.66818930717312, "lat": 30.25312537925027}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_giga_texas_austin", "tile_bounds": [-97.7, 30.2, -97.6, 30.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 24, "macro_region": "North America", "country": "United States", "site": "Tesla Gigafactory Texas near Austin", "change_type": "industrial construction", "expected_change": 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"site": "Tengger Desert Solar Park near Zhongwei", "change_type": "renewable energy", "expected_change": "Desert converting to photovoltaic arrays plus new internal roads and energy infrastructure.", "evidence_urls": "https://science.nasa.gov/earth/earth-observatory/solar-powered-china-145159;https://en.wikipedia.org/wiki/Tengger_Desert_Solar_Park", "notes": "NASA describes the Tengger solar park as a 43 square kilometer solar installation.", "output_index": 25}}, {"projection": {"crs": "EPSG:32611", "x_resolution": 10, "y_resolution": -10}, "bounds": [70508, -399054, 70636, -398926], "window_name": "us_lake_mead_boulder_basin_010_4e0413db11", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -114.7166883473524, "lat": 36.03183194899134}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_lake_mead_boulder_basin", "tile_bounds": [-114.8, 36.0, -114.7, 36.1], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 10, "macro_region": "North America", "country": "United States", "site": "Lake Mead Boulder Basin shoreline", "change_type": "water recession", "expected_change": "Reservoir water converting to exposed sediment shoreline and dry land during the 2021-2022 low-water period.", "evidence_urls": "https://science.nasa.gov/photojournal/lake-mead-2021/", "notes": "NASA describes Lake Mead dropping to its lowest level ever in 2021.", "output_index": 26}}, {"projection": {"crs": "EPSG:32614", "x_resolution": 10, "y_resolution": -10}, "bounds": [62783, -335158, 62911, -335030], "window_name": "us_giga_texas_austin_032_27024714b1", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -97.66417914803864, "lat": 30.284624812936666, "pre_change": "2022-05-26", "first_date_change_noticeable": "2022-08-02", "post_change": 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{"crs": "EPSG:32611", "x_resolution": 10, "y_resolution": -10}, "bounds": [69900, -399206, 70028, -399078], "window_name": "us_lake_mead_boulder_basin_033_103c60e29b", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -114.7837350068511, "lat": 36.04684350876038}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_lake_mead_boulder_basin", "tile_bounds": [-114.8, 36.0, -114.7, 36.1], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 33, "macro_region": "North America", "country": "United States", "site": "Lake Mead Boulder Basin shoreline", "change_type": "water recession", "expected_change": "Reservoir water converting to exposed sediment shoreline and dry land during the 2021-2022 low-water period.", "evidence_urls": "https://science.nasa.gov/photojournal/lake-mead-2021/", "notes": "NASA describes Lake 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"compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 21, "macro_region": "West Asia", "country": "Turkey", "site": "Akkuyu Nuclear Power Plant construction site", "change_type": "industrial construction", "expected_change": "Coastal scrub and bare ground converting to reactor construction areas breakwaters roads spoil and industrial surfaces.", "evidence_urls": "https://pubmed.ncbi.nlm.nih.gov/36057743/;https://en.wikipedia.org/wiki/Akkuyu_Nuclear_Power_Plant", "notes": "Remote-sensing case study directly targets LULC change around Akkuyu construction.", "output_index": 31}}, {"projection": {"crs": "EPSG:32748", "x_resolution": 10, "y_resolution": -10}, "bounds": [72918, -929650, 73046, -929522], "window_name": "indonesia_bekasi_cikarang_015_988cf9f12f", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 107.07919265783049, "lat": -6.366796460382031, "pre_change": "2022-04-14", 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"metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "vietnam_ninh_thuan_solar", "tile_bounds": [108.9, 11.4, 109.0, 11.5], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 45, "macro_region": "Southeast Asia", "country": "Vietnam", "site": "Ninh Thuan solar buildout", "change_type": "renewable energy", "expected_change": "Dry cropland or scrub converting to solar arrays and grid infrastructure during Vietnam's 2020 solar buildout.", "evidence_urls": "https://en.vietstock.vn/2020/10/trung-nam-kicks-off-vietnams-largest-solar-farm-project-974-423050.htm;https://en.vietnamplus.vn/35mwp-solar-power-farm-opens-in-ninh-thuan-post178306.vnp", "notes": "Uses 2020 center year because several Ninh Thuan solar projects were built or opened in 2020.", "output_index": 50}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [51674, -415588, 51802, -415460], "window_name": "china_ningxia_tengger_solar_034_eeb00f933e", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 105.19450642597207, "lat": 37.54383853538508, "pre_change": "2019-09-27", "first_date_change_noticeable": "2019-11-21", "post_change": "2019-11-21", "pre_category": "crops", "post_category": "urban/built-up"}], "negative_points": [{"lon": 105.1967563479338, "lat": 37.54398060948828}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_ningxia_tengger_solar", "tile_bounds": [105.1, 37.5, 105.2, 37.6], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 34, "macro_region": "East Asia", "country": "China", "site": "Tengger Desert Solar Park near Zhongwei", "change_type": "renewable energy", "expected_change": "Desert converting to photovoltaic arrays plus new internal roads and energy infrastructure.", "evidence_urls": "https://science.nasa.gov/earth/earth-observatory/solar-powered-china-145159;https://en.wikipedia.org/wiki/Tengger_Desert_Solar_Park", "notes": "NASA describes the Tengger solar park as a 43 square kilometer solar installation.", "output_index": 51}}, {"projection": {"crs": "EPSG:32750", "x_resolution": 10, "y_resolution": -10}, "bounds": [46713, -989391, 46841, -989263], "window_name": "indonesia_nusantara_core_009_6a2bbe0e61", "group": "evaluation_tiles", "time_range": ["2021-01-01T00:00:00+00:00", "2024-01-01T00:00:00+00:00"], "positive_points": [{"lon": 116.71035790470769, "lat": -0.9656488974739242, "pre_change": "2019-04-08", "first_date_change_noticeable": "2019-08-16", "post_change": "2019-08-16", "pre_category": "tree", "post_category": "grassland"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "indonesia_nusantara_core", "tile_bounds": [116.7, -1.0, 116.8, -0.9], "tile_year": 2022, "compare_from_year": 2021, "compare_to_year": 2023, "point_index_within_tile": 9, "macro_region": "Southeast Asia", "country": "Indonesia", "site": "Nusantara new capital core area", "change_type": "urban infrastructure forest clearing", "expected_change": "Forest plantation and rural land converting to cleared corridors roads government-area construction and exposed soil.", "evidence_urls": "https://visibleearth.nasa.gov/images/152471/nusantara-a-new-capital-city-in-the-forest;https://www.newsweek.com/nusantara-indonesia-capital-satellite-photos-1893427", "notes": "NASA describes rapid change at the future capital site between 2022 and 2024.", "output_index": 52}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [45091, -336104, 45219, -335976], "window_name": "china_chengdu_tianfu_airport_006_d3cd02bd3d", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 104.49575466892577, "lat": 30.37452198062055}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_chengdu_tianfu_airport", "tile_bounds": [104.4, 30.3, 104.5, 30.4], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 6, "macro_region": "East Asia", "country": "China", "site": "Chengdu Tianfu International Airport", "change_type": "transport infrastructure", "expected_change": "Agricultural and construction land converting to runways taxiways terminals aprons and airport service infrastructure.", "evidence_urls": "https://english.cscec.com/CompanyNews/CorporateNews/202107/3359919.html;https://www.airport-technology.com/projects/chengdu-tianfu-international-airport-chengdu-china/", "notes": "Airport officially launched in June 2021 so 2020 to 2022 should show strong infrastructure completion.", "output_index": 53}}, {"projection": {"crs": "EPSG:32636", "x_resolution": 10, "y_resolution": -10}, "bounds": [54632, -400366, 54760, -400238], "window_name": "turkey_akkuyu_npp_006_0775f49d5c", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 33.52217441672864, "lat": 36.17073905812077}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "turkey_akkuyu_npp", "tile_bounds": [33.5, 36.1, 33.6, 36.2], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 6, "macro_region": "West Asia", "country": "Turkey", "site": "Akkuyu Nuclear Power Plant construction site", "change_type": "industrial construction", "expected_change": "Coastal scrub and bare ground converting to reactor construction areas breakwaters roads spoil and industrial surfaces.", "evidence_urls": "https://pubmed.ncbi.nlm.nih.gov/36057743/;https://en.wikipedia.org/wiki/Akkuyu_Nuclear_Power_Plant", "notes": "Remote-sensing case study directly targets LULC change around Akkuyu construction.", "output_index": 54}}, {"projection": {"crs": "EPSG:32735", "x_resolution": 10, "y_resolution": -10}, "bounds": [32444, -881180, 32572, -881052], "window_name": "drc_kolwezi_cobalt_mines_025_618cf31779", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 25.399720150568957, "lat": -10.75122536184734, "pre_change": "2018-09-18", "first_date_change_noticeable": "2018-10-08", "post_change": "2018-10-08", "pre_category": "shrub", "post_category": "bare"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "drc_kolwezi_cobalt_mines", "tile_bounds": [25.4, -10.8, 25.5, -10.7], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 25, "macro_region": "Africa", "country": "Democratic Republic of the Congo", "site": "Kolwezi copper-cobalt mining district", "change_type": "mining expansion", "expected_change": "Urban edge and vegetated or bare surfaces converting to open pits spoil piles tailings and informal mining disturbance.", "evidence_urls": "https://abcnews.go.com/International/cobalt-mining-transforms-city-democratic-republic-congo-satellite/story?id=96795773;https://www.researchgate.net/publication/362472007_Landscape_Analysis_of_Cobalt_Mining_Activities_from_2009_to_2021_Using_Very_High_Resolution_Satellite_Data_Democratic_Republic_of_the_Congo", "notes": "ABC/Planet Labs reporting shows rapid mine expansion near Kolwezi from 2017 to 2022.", "output_index": 55}}, {"projection": {"crs": "EPSG:32649", "x_resolution": 10, "y_resolution": -10}, "bounds": [27631, -127115, 27759, -126987], "window_name": "vietnam_ninh_thuan_solar_047_e2f14e13aa", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 108.95526450839986, "lat": 11.485965026392178}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "vietnam_ninh_thuan_solar", "tile_bounds": [108.9, 11.4, 109.0, 11.5], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 47, "macro_region": "Southeast Asia", "country": "Vietnam", "site": "Ninh Thuan solar buildout", "change_type": "renewable energy", "expected_change": "Dry cropland or scrub converting to solar arrays and grid infrastructure during Vietnam's 2020 solar buildout.", "evidence_urls": "https://en.vietstock.vn/2020/10/trung-nam-kicks-off-vietnams-largest-solar-farm-project-974-423050.htm;https://en.vietnamplus.vn/35mwp-solar-power-farm-opens-in-ninh-thuan-post178306.vnp", "notes": "Uses 2020 center year because several Ninh Thuan solar projects were built or opened in 2020.", "output_index": 56}}, {"projection": {"crs": "EPSG:32631", "x_resolution": 10, "y_resolution": -10}, "bounds": [55081, -71050, 55209, -70922], "window_name": "nigeria_eko_atlantic_lagos_026_4473e96dbb", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 3.4653348731302067, "lat": 6.421771234718673, "pre_change": "2024-05-04", "first_date_change_noticeable": "2024-10-01", "post_change": "2024-10-01", "pre_category": "water", "post_category": "bare"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "nigeria_eko_atlantic_lagos", "tile_bounds": [3.4, 6.4, 3.5, 6.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 26, "macro_region": "Africa", "country": "Nigeria", "site": "Eko Atlantic and Lagos waterfront", "change_type": "coastal reclamation urbanization", "expected_change": "Open water reclaimed sand and bare construction areas converting to new coastal urban land roads and buildings.", "evidence_urls": "https://www.ekoatlantic.com/wp-content/uploads/2012/12/EKOATLANTIC_Broch_2012.pdf;https://en.wikipedia.org/wiki/Eko_Atlantic", "notes": "Tile spans the Lagos waterfront where reclamation and construction are visually distinctive.", "output_index": 57}}, {"projection": {"crs": "EPSG:32719", "x_resolution": 10, "y_resolution": -10}, "bounds": [57354, -740151, 57482, -740023], "window_name": "chile_salar_atacama_lithium_000_552784fc1c", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": -68.27341934772409, "lat": -23.50070355015613}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "chile_salar_atacama_lithium", "tile_bounds": [-68.3, -23.6, -68.2, -23.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 0, "macro_region": "South America", "country": "Chile", "site": "Salar de Atacama lithium evaporation ponds", "change_type": "mining evaporation ponds", "expected_change": "Salt flat converting to expanded evaporation ponds roads and industrial lithium-extraction surfaces.", "evidence_urls": "https://www.earthobservatory.nasa.gov/images/144393/where-batteries-begin;https://eros.usgs.gov/earthshots/ponds", "notes": "NASA describes increasing evaporation ponds at Salar de Atacama to meet lithium demand.", "output_index": 58}}, {"projection": {"crs": "EPSG:32631", "x_resolution": 10, "y_resolution": -10}, "bounds": [55395, -71790, 55523, -71662], "window_name": "nigeria_eko_atlantic_lagos_032_47da7c1d89", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 3.4937763183784787, "lat": 6.4886740716087346}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "nigeria_eko_atlantic_lagos", "tile_bounds": [3.4, 6.4, 3.5, 6.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 32, "macro_region": "Africa", "country": "Nigeria", "site": "Eko Atlantic and Lagos waterfront", "change_type": "coastal reclamation urbanization", "expected_change": "Open water reclaimed sand and bare construction areas converting to new coastal urban land roads and buildings.", "evidence_urls": "https://www.ekoatlantic.com/wp-content/uploads/2012/12/EKOATLANTIC_Broch_2012.pdf;https://en.wikipedia.org/wiki/Eko_Atlantic", "notes": "Tile spans the Lagos waterfront where reclamation and construction are visually distinctive.", "output_index": 59}}, {"projection": {"crs": "EPSG:32647", "x_resolution": 10, "y_resolution": -10}, "bounds": [63710, -400251, 63838, -400123], "window_name": "china_qinghai_talatan_solar_004_35d96a717c", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 100.53192317332336, "lat": 36.15271894778693, "pre_change": "2021-09-07", "first_date_change_noticeable": "2021-11-03", "post_change": "2021-11-03", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [{"lon": 100.5311802523151, "lat": 36.15176421845035}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_qinghai_talatan_solar", "tile_bounds": [100.5, 36.1, 100.6, 36.2], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 4, "macro_region": "East Asia", "country": "China", "site": "Gonghe Talatan Solar Park Qinghai", "change_type": "renewable energy", "expected_change": "Semi-arid grassland and bare ground converting to large photovoltaic arrays and service roads.", "evidence_urls": "https://www.pv-magazine.fr/2022/07/20/serie-dete-les-plus-grandes-centrales-solaires-du-monde-le-parc-gonghe-chine/;https://en.wikipedia.org/wiki/Talatan_Solar_Park", "notes": "Tile targets the large Gonghe/Talatan solar cluster near Longyangxia.", "output_index": 60}}, {"projection": {"crs": "EPSG:32650", "x_resolution": 10, "y_resolution": -10}, "bounds": [40493, -432434, 40621, -432306], "window_name": "china_xiongan_rongdong_031_8121788e33", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 115.90864416179815, "lat": 39.05723391218448, "pre_change": "2019-06-17", "first_date_change_noticeable": "2019-11-14", "post_change": "2022-07-21", "pre_category": "crops", "post_category": "urban/built-up"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_xiongan_rongdong", "tile_bounds": [115.9, 39.0, 116.0, 39.1], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 31, "macro_region": "East Asia", "country": "China", "site": "Xiong'an New Area Hebei", "change_type": "urban expansion", "expected_change": "Cropland villages and bare construction areas converting to planned urban districts roads and public facilities.", "evidence_urls": "https://en.brnn.com/n3/2022/0926/c415019-10151475-11.html;https://ouci.dntb.gov.ua/en/works/73LLm304/", "notes": "BRNN shows satellite before/after examples from 2021 to 2022; remote-sensing paper covers LULC change in Xiong'an.", "output_index": 61}}, {"projection": {"crs": "EPSG:32720", "x_resolution": 10, "y_resolution": -10}, "bounds": [75719, -753067, 75847, -752939], "window_name": "paraguay_gran_chaco_boqueron_015_dbadd81123", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -60.49393229652201, "lat": -22.315354119680084, "pre_change": "2022-10-21", "first_date_change_noticeable": "2022-12-30", "post_change": "2022-12-30", "pre_category": "tree", "post_category": "urban/built-up"}], "negative_points": [{"lon": -60.49705917659391, "lat": -22.31630077662926}, {"lon": -60.49861060611896, "lat": -22.313612119484034}, {"lon": 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"y_resolution": -10}, "bounds": [29605, -301260, 29733, -301132], "window_name": "china_baihetan_reservoir_039_f061474ee8", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 102.94724155083249, "lat": 27.21538518806}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_baihetan_reservoir", "tile_bounds": [102.9, 27.2, 103.0, 27.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 39, "macro_region": "East Asia", "country": "China", "site": "Baihetan Dam and Jinsha River reservoir", "change_type": "reservoir filling", "expected_change": "River valley and shoreline areas converting to reservoir water after initial impoundment began in 2021.", "evidence_urls": "https://www.nature.com/articles/s41598-023-48052-1;https://en.wikipedia.org/wiki/Baihetan_Dam", "notes": "Nature paper reports Baihetan initial water 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"change_finder_v2/evaluation/tiles.csv", "tile_id": "india_bhadla_solar", "tile_bounds": [71.9, 27.5, 72.0, 27.6], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 31, "macro_region": "South Asia", "country": "India", "site": "Bhadla Solar Park Rajasthan", "change_type": "renewable energy", "expected_change": "Arid desert land converting to dense photovoltaic arrays service roads and grid infrastructure.", "evidence_urls": "https://en.wikipedia.org/wiki/Bhadla_Solar_Park", "notes": "Use as a large high-contrast renewable-energy tile; check imagery dates because some phases predate 2020.", "output_index": 237}}, {"projection": {"crs": "EPSG:32613", "x_resolution": 10, "y_resolution": -10}, "bounds": [60984, -351108, 61112, -350980], "window_name": "us_permian_basin_pads_042_226233c6c9", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 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"bounds": [34314, -273817, 34442, -273689], "window_name": "uae_mbr_solar_park_041_3b6f701195", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 55.45526517041296, "lat": 24.744346351834768, "pre_change": "2020-01-04", "first_date_change_noticeable": "2020-05-08", "post_change": "2020-05-08", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "uae_mbr_solar_park", "tile_bounds": [55.4, 24.7, 55.5, 24.8], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 41, "macro_region": "Middle East", "country": "United Arab Emirates", "site": "Mohammed bin Rashid Al Maktoum Solar Park", "change_type": "renewable energy", "expected_change": "Desert surface converting to photovoltaic arrays access roads and solar-park infrastructure south of Dubai.", "evidence_urls": 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"macro_region": "Africa", "country": "Nigeria", "site": "Eko Atlantic and Lagos waterfront", "change_type": "coastal reclamation urbanization", "expected_change": "Open water reclaimed sand and bare construction areas converting to new coastal urban land roads and buildings.", "evidence_urls": "https://www.ekoatlantic.com/wp-content/uploads/2012/12/EKOATLANTIC_Broch_2012.pdf;https://en.wikipedia.org/wiki/Eko_Atlantic", "notes": "Tile spans the Lagos waterfront where reclamation and construction are visually distinctive.", "output_index": 240}}, {"projection": {"crs": "EPSG:32610", "x_resolution": 10, "y_resolution": -10}, "bounds": [64491, -446988, 64619, -446860], "window_name": "us_dixie_fire_lassen_045_ded536da78", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -121.285759444415, "lat": 40.36097712811119, "pre_change": "2021-10-31", "first_date_change_noticeable": "2022-03-25", "post_change": 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"evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 105.15413756523918, "lat": 37.56445984557102}, {"lon": 105.16029822124773, "lat": 37.567882892515115}, {"lon": 105.15248678601546, "lat": 37.56861778379987}, {"lon": 105.15112226298531, "lat": 37.56904218869319}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_ningxia_tengger_solar", "tile_bounds": [105.1, 37.5, 105.2, 37.6], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 49, "macro_region": "East Asia", "country": "China", "site": "Tengger Desert Solar Park near Zhongwei", "change_type": "renewable energy", "expected_change": "Desert converting to photovoltaic arrays plus new internal roads and energy infrastructure.", "evidence_urls": "https://science.nasa.gov/earth/earth-observatory/solar-powered-china-145159;https://en.wikipedia.org/wiki/Tengger_Desert_Solar_Park", "notes": "NASA describes the Tengger solar park as a 43 square kilometer solar installation.", "output_index": 291}}, {"projection": {"crs": "EPSG:32642", "x_resolution": 10, "y_resolution": -10}, "bounds": [79205, -304977, 79333, -304849], "window_name": "india_bhadla_solar_045_16f55d7e28", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [{"lon": 71.96348767437316, "lat": 27.534373765263364, "pre_change": "2018-08-24", "first_date_change_noticeable": "2018-12-02", "post_change": "2018-12-02", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "india_bhadla_solar", "tile_bounds": [71.9, 27.5, 72.0, 27.6], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 45, "macro_region": "South Asia", "country": "India", "site": "Bhadla Solar Park Rajasthan", "change_type": "renewable energy", "expected_change": "Arid desert land converting to dense photovoltaic arrays service roads and grid infrastructure.", "evidence_urls": "https://en.wikipedia.org/wiki/Bhadla_Solar_Park", "notes": "Use as a large high-contrast renewable-energy tile; check imagery dates because some phases predate 2020.", "output_index": 293}}, {"projection": {"crs": "EPSG:32640", "x_resolution": 10, "y_resolution": -10}, "bounds": [33861, -273556, 33989, -273428], "window_name": "uae_mbr_solar_park_025_6473228fc1", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 55.41073645170153, "lat": 24.720337272671344, "pre_change": "2022-06-22", "first_date_change_noticeable": "2022-08-26", "post_change": "2022-08-26", "pre_category": "bare", "post_category": "urban/built-up"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "uae_mbr_solar_park", "tile_bounds": [55.4, 24.7, 55.5, 24.8], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 25, "macro_region": "Middle East", "country": "United Arab Emirates", "site": "Mohammed bin Rashid Al Maktoum Solar Park", "change_type": "renewable energy", "expected_change": "Desert surface converting to photovoltaic arrays access roads and solar-park infrastructure south of Dubai.", "evidence_urls": "https://eros.usgs.gov/earthshots/solar-park;https://commons.wikimedia.org/wiki/File:Mohammed_bin_Rashid_Al_Maktoum_Solar_Park_2020.jpg", "notes": "USGS Earthshots includes 2020 and 2022 Landsat dates for this solar-park area.", "output_index": 294}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [44457, -335784, 44585, -335656], "window_name": "china_chengdu_tianfu_airport_022_c0b9fd172f", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 104.43056664804557, "lat": 30.34553644737757, "pre_change": "2022-08-09", "first_date_change_noticeable": "2023-04-11", "post_change": "2023-04-11", "pre_category": "tree", "post_category": "urban/built-up"}], "negative_points": [{"lon": 104.42976605517188, "lat": 30.34538183824665}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_chengdu_tianfu_airport", "tile_bounds": [104.4, 30.3, 104.5, 30.4], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 22, "macro_region": "East Asia", "country": "China", "site": "Chengdu Tianfu International Airport", "change_type": "transport infrastructure", "expected_change": "Agricultural and construction land converting to runways taxiways terminals aprons and airport service infrastructure.", "evidence_urls": "https://english.cscec.com/CompanyNews/CorporateNews/202107/3359919.html;https://www.airport-technology.com/projects/chengdu-tianfu-international-airport-chengdu-china/", "notes": "Airport officially launched in June 2021 so 2020 to 2022 should show strong infrastructure completion.", "output_index": 295}}, {"projection": {"crs": "EPSG:32646", "x_resolution": 10, "y_resolution": -10}, "bounds": [24190, -263092, 24318, -262964], "window_name": "bangladesh_dhaka_east_wetlands_022_02a6cf7747", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 90.47395282839189, "lat": 23.76295181094225}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "bangladesh_dhaka_east_wetlands", "tile_bounds": [90.4, 23.7, 90.5, 23.8], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 22, "macro_region": "South Asia", "country": "Bangladesh", "site": "Eastern Dhaka peri-urban wetlands", "change_type": "urban wetland loss", "expected_change": "Seasonal wetland vegetation water and bare fill converting to built-up urban land roads and construction fill.", "evidence_urls": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12775484/;https://pubmed.ncbi.nlm.nih.gov/41495102/", "notes": "Dhaka source reports 2000 to 2022 built-up expansion and loss of seasonal wetland vegetation.", "output_index": 296}}, {"projection": {"crs": "EPSG:32649", "x_resolution": 10, "y_resolution": -10}, "bounds": [27537, -127021, 27665, -126893], "window_name": "vietnam_ninh_thuan_solar_028_3e6bdd0ea9", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [{"lon": 108.95011124342227, "lat": 11.476127858111303, "pre_change": "2022-06-06", "first_date_change_noticeable": "2022-09-14", "post_change": "2023-01-12", "pre_category": "shrub", "post_category": "urban/built-up"}], "negative_points": [{"lon": 108.9467156733031, "lat": 11.478828495129317}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "vietnam_ninh_thuan_solar", "tile_bounds": [108.9, 11.4, 109.0, 11.5], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 28, "macro_region": "Southeast Asia", "country": "Vietnam", "site": "Ninh Thuan solar buildout", "change_type": "renewable energy", "expected_change": "Dry cropland or scrub converting to solar arrays and grid infrastructure during Vietnam's 2020 solar buildout.", "evidence_urls": "https://en.vietstock.vn/2020/10/trung-nam-kicks-off-vietnams-largest-solar-farm-project-974-423050.htm;https://en.vietnamplus.vn/35mwp-solar-power-farm-opens-in-ninh-thuan-post178306.vnp", "notes": "Uses 2020 center year because several Ninh Thuan solar projects were built or opened in 2020.", "output_index": 297}}, {"projection": {"crs": "EPSG:32610", "x_resolution": 10, "y_resolution": -10}, "bounds": [64975, -446807, 65103, -446679], "window_name": "us_dixie_fire_lassen_044_65eef99ba5", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -121.22923473928144, "lat": 40.34380020327361, "pre_change": "2022-10-16", "first_date_change_noticeable": "2023-05-19", "post_change": "2023-05-19", "pre_category": "tree", "post_category": "grassland"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "us_dixie_fire_lassen", "tile_bounds": [-121.3, 40.3, -121.2, 40.4], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 44, "macro_region": "North America", "country": "United States", "site": "Dixie Fire burn area northern California", "change_type": "wildfire disturbance", "expected_change": "Conifer forest converting to burn scar standing dead forest bare soil and early regrowth after the 2021 Dixie Fire.", "evidence_urls": "https://science.nasa.gov/earth/earth-observatory/californias-dixie-fire-keeps-on-growing-148669;https://svs.gsfc.nasa.gov/4993", "notes": "NASA visualization tracks the 2021 Dixie Fire spread from July to October.", "output_index": 299}}, {"projection": {"crs": "EPSG:32639", "x_resolution": 10, "y_resolution": -10}, "bounds": [54289, -281654, 54417, -281526], "window_name": "qatar_lusail_north_doha_017_18eec95a98", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 51.4330108563756, "lat": 25.45947702308847}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "qatar_lusail_north_doha", "tile_bounds": [51.4, 25.4, 51.5, 25.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 17, "macro_region": "Middle East", "country": "Qatar", "site": "Lusail and north Doha", "change_type": "urban expansion", "expected_change": "Desert and construction surfaces converting to dense urban fabric roads stadium infrastructure and landscaped urban areas around Lusail.", "evidence_urls": "https://eros.usgs.gov/earthshots/doha-qatar;https://www.sstl.co.uk/media-hub/latest-news/2022/new-fifa-2022-lusail-stadium-in-build-image", "notes": "Good high-contrast urban/desert tile tied to World Cup-era development.", "output_index": 300}}, {"projection": {"crs": "EPSG:32756", "x_resolution": 10, "y_resolution": -10}, "bounds": [24193, -604112, 24321, -603984], "window_name": "australia_batemans_bay_black_summer_046_59341e5dde", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 150.15325836636114, "lat": -35.74607166150476}, {"lon": 150.14695703051547, "lat": -35.74333947103533}, {"lon": 150.15741456847027, "lat": -35.74914156551543}, {"lon": 150.15946723426765, "lat": -35.74765056709242}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "australia_batemans_bay_black_summer", "tile_bounds": [150.1, -35.8, 150.2, -35.7], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 46, "macro_region": "Oceania", "country": "Australia", "site": "Batemans Bay and Mogo Black Summer burn area", "change_type": "wildfire disturbance", "expected_change": "Forest and woodland converting to severe burn scar followed by partial regrowth after the 2019-2020 bushfires.", "evidence_urls": "https://science.nasa.gov/earth/earth-observatory/fires-take-a-toll-on-australian-forests-145998;https://www.nccs.nasa.gov/node/508", "notes": "Use 2020 center year to compare pre-fire 2019 against post-fire 2021.", "output_index": 301}}, {"projection": {"crs": "EPSG:32649", "x_resolution": 10, "y_resolution": -10}, "bounds": [27120, -126228, 27248, -126100], "window_name": "vietnam_ninh_thuan_solar_029_3b5c20c84c", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 108.90906863659967, "lat": 11.405480471825825}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "vietnam_ninh_thuan_solar", "tile_bounds": [108.9, 11.4, 109.0, 11.5], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 29, "macro_region": "Southeast Asia", "country": "Vietnam", "site": "Ninh Thuan solar buildout", "change_type": "renewable energy", "expected_change": "Dry cropland or scrub converting to solar arrays and grid infrastructure during Vietnam's 2020 solar buildout.", "evidence_urls": "https://en.vietstock.vn/2020/10/trung-nam-kicks-off-vietnams-largest-solar-farm-project-974-423050.htm;https://en.vietnamplus.vn/35mwp-solar-power-farm-opens-in-ninh-thuan-post178306.vnp", "notes": "Uses 2020 center year because several Ninh Thuan solar projects were built or opened in 2020.", "output_index": 302}}, {"projection": {"crs": "EPSG:32756", "x_resolution": 10, "y_resolution": -10}, "bounds": [24261, -604617, 24389, -604489], "window_name": "australia_batemans_bay_black_summer_004_6e96c90289", "group": "evaluation_tiles", "time_range": ["2019-01-01T00:00:00+00:00", "2022-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 150.16233448284473, "lat": -35.700790029244125}, {"lon": 150.1634655465273, "lat": -35.704924445998614}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "australia_batemans_bay_black_summer", "tile_bounds": [150.1, -35.8, 150.2, -35.7], "tile_year": 2020, "compare_from_year": 2019, "compare_to_year": 2021, "point_index_within_tile": 4, "macro_region": "Oceania", "country": "Australia", "site": "Batemans Bay and Mogo Black Summer burn area", "change_type": "wildfire disturbance", "expected_change": "Forest and woodland converting to severe burn scar followed by partial regrowth after the 2019-2020 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"compare_to_year": 2022, "point_index_within_tile": 45, "macro_region": "East Asia", "country": "China", "site": "Xiong'an New Area Hebei", "change_type": "urban expansion", "expected_change": "Cropland villages and bare construction areas converting to planned urban districts roads and public facilities.", "evidence_urls": "https://en.brnn.com/n3/2022/0926/c415019-10151475-11.html;https://ouci.dntb.gov.ua/en/works/73LLm304/", "notes": "BRNN shows satellite before/after examples from 2021 to 2022; remote-sensing paper covers LULC change in Xiong'an.", "output_index": 305}}, {"projection": {"crs": "EPSG:32648", "x_resolution": 10, "y_resolution": -10}, "bounds": [29287, -301873, 29415, -301745], "window_name": "china_baihetan_reservoir_012_338e602a3e", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [], "negative_points": [{"lon": 102.91408781538821, "lat": 27.27021026757517}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_baihetan_reservoir", "tile_bounds": [102.9, 27.2, 103.0, 27.3], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 12, "macro_region": "East Asia", "country": "China", "site": "Baihetan Dam and Jinsha River reservoir", "change_type": "reservoir filling", "expected_change": "River valley and shoreline areas converting to reservoir water after initial impoundment began in 2021.", "evidence_urls": "https://www.nature.com/articles/s41598-023-48052-1;https://en.wikipedia.org/wiki/Baihetan_Dam", "notes": "Nature paper reports Baihetan initial water storage beginning April 2021.", "output_index": 306}}, {"projection": {"crs": "EPSG:32631", "x_resolution": 10, "y_resolution": -10}, "bounds": [54781, -71236, 54909, -71108], "window_name": "nigeria_eko_atlantic_lagos_039_455b1a85e1", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 3.442632400727922, "lat": 6.439412886348844, "pre_change": "2020-04-05", "first_date_change_noticeable": "2020-07-14", "post_change": "2020-07-14", "pre_category": "grassland", "post_category": "urban/built-up"}], "negative_points": [{"lon": 3.438167511714734, "lat": 6.438663270657731}, {"lon": 3.441392249334481, "lat": 6.441353010744896}, {"lon": 3.4364844641991064, "lat": 6.440145322411689}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "nigeria_eko_atlantic_lagos", "tile_bounds": [3.4, 6.4, 3.5, 6.5], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 39, "macro_region": "Africa", "country": "Nigeria", "site": "Eko Atlantic and Lagos waterfront", "change_type": "coastal reclamation urbanization", "expected_change": "Open water reclaimed sand and bare construction areas converting to new coastal urban land roads and buildings.", "evidence_urls": "https://www.ekoatlantic.com/wp-content/uploads/2012/12/EKOATLANTIC_Broch_2012.pdf;https://en.wikipedia.org/wiki/Eko_Atlantic", "notes": "Tile spans the Lagos waterfront where reclamation and construction are visually distinctive.", "output_index": 307}}, {"projection": {"crs": "EPSG:32650", "x_resolution": 10, "y_resolution": -10}, "bounds": [41169, -432845, 41297, -432717], "window_name": "china_xiongan_rongdong_009_6bf7b0efe4", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": 115.99048817176576, "lat": 39.09860337076738, "pre_change": "2020-12-03", "first_date_change_noticeable": "2021-01-17", "post_change": "2021-08-10", "pre_category": "bare", "post_category": "grassland"}], "negative_points": [{"lon": 115.98622465362372, "lat": 39.09493237813562}, {"lon": 115.9828437887675, "lat": 39.094198482662705}], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "china_xiongan_rongdong", "tile_bounds": [115.9, 39.0, 116.0, 39.1], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 9, "macro_region": "East Asia", "country": "China", "site": "Xiong'an New Area Hebei", "change_type": "urban expansion", "expected_change": "Cropland villages and bare construction areas converting to planned urban districts roads and public facilities.", "evidence_urls": "https://en.brnn.com/n3/2022/0926/c415019-10151475-11.html;https://ouci.dntb.gov.ua/en/works/73LLm304/", "notes": "BRNN shows satellite before/after examples from 2021 to 2022; remote-sensing paper covers LULC change in Xiong'an.", "output_index": 308}}, {"projection": {"crs": "EPSG:32721", "x_resolution": 10, "y_resolution": -10}, "bounds": [66609, -921723, 66737, -921595], "window_name": "brazil_br163_novo_progresso_009_457076b3c7", "group": "evaluation_tiles", "time_range": ["2020-01-01T00:00:00+00:00", "2023-01-01T00:00:00+00:00"], "positive_points": [{"lon": -55.49032193310113, "lat": -7.085027226247495, "pre_change": "2020-07-15", "first_date_change_noticeable": "2020-09-13", "post_change": "2020-09-13", "pre_category": "tree", "post_category": "grassland"}], "negative_points": [], "metadata": {"source": "change_finder_v2/evaluation/tiles.csv", "tile_id": "brazil_br163_novo_progresso", "tile_bounds": [-55.5, -7.1, -55.4, -7.0], "tile_year": 2021, "compare_from_year": 2020, "compare_to_year": 2022, "point_index_within_tile": 9, "macro_region": "South America", "country": "Brazil", "site": "BR-163 forest frontier near Novo Progresso", "change_type": "deforestation agriculture", "expected_change": "Amazon forest converting to cleared pasture fields burn scars and access tracks along the BR-163 development corridor.", "evidence_urls": "https://www.maapprogram.org/special-analysis/deforestation-hotspots/;https://arxiv.org/abs/2211.09806", "notes": "Chosen as a BR-163 corridor stress case for forest-to-agriculture and forest-to-pasture conversion.", "output_index": 309}}]