diff --git "a/methaneset-s2-finetune/index.html" "b/methaneset-s2-finetune/index.html" new file mode 100644--- /dev/null +++ "b/methaneset-s2-finetune/index.html" @@ -0,0 +1,4406 @@ + + + +
+ + +methaneset-s2-finetune is the verified plume subset of MethaneSET-S2, designed for supervised fine-tuning of methane detection and segmentation models. This subset contains Sentinel-2 imagery with manually verified methane plumes, binary segmentation masks, and methane enhancement maps (ΔXCH₄ in ppb). Unlike MARS-S2L which provides only six common bands, MethaneSET retrieves all 13 Sentinel-2 L1C bands at 10m GSD (200x200 pixel chips), enabling research with coastal aerosol, water vapour, cirrus, and red edge channels. Each sample includes target and reference image pairs, plume segmentation masks, CH4 enhancement images, Cloud Score+ masks, wind vectors (ERA5-Land onshore, GEOS-FP offshore), solar/viewing geometry, emission rates with uncertainties, elevation (Copernicus DEM GLO-30), and 64-dim AlphaEarth Foundation embeddings.
Click on any region to view partition details
+ ++ Hierarchical structure showing representative samples across levels. + The "..." notation indicates additional samples following the same pattern. + All samples at the same level share identical structure (RSUT constraint). +
+ +| Level | +Types | +Total Samples | +Sample IDs (preview) | +
|---|---|---|---|
| Level 0 | +All FOLDER |
+ 3,612 | +Root level samples | +
| Level 1 | +FILE + FILE + FILE + FILE + FILE |
+ 18,060 | +target, reference, ch4... |
+
+ These fields are available for querying with SQL when using TacoReader. +
+ +| Field Name | +Type | +Description | +
|---|---|---|
| id | +string | +Unique sample identifier within parent scope. Must be unique among siblings. | +
| type | +string | +Sample type discriminator (FILE or FOLDER). | +
| stac:crs | +string | +Coordinate reference system (WKT2, EPSG, or PROJ) | +
| stac:tensor_shape | +list<item: int64> | +Raster dimensions [bands, height, width] | +
| stac:geotransform | +list<item: double> | +GDAL affine transform | +
| stac:time_start | +timestamp[us] | +Start timestamp (μs since Unix epoch, UTC) | +
| stac:centroid | +binary | +Center point in EPSG:4326 (WKB) | +
| stac:time_end | +timestamp[us] | +End timestamp (μs since Unix epoch, UTC) | +
| stac:time_middle | +timestamp[us] | +Middle timestamp (μs since Unix epoch, UTC) | +
| detection:isplume | +bool | +Whether a methane plume is present | +
| detection:ch4_fluxrate | +float | +Methane flux rate (kg/h) | +
| detection:ch4_fluxrate_std | +float | +Standard deviation of flux rate | +
| detection:sector | +string | +Emission sector (Oil and Gas, Coal, Waste, etc.) | +
| detection:offshore | +bool | +Whether location is offshore | +
| detection:wind_source | +string | +Wind data source (e.g. ERA5-Land, GEOS-FP) | +
| detection:case_study | +string | +Case study area name (e.g. Permian Basin) | +
| satellite:platform | +string | +Satellite platform (S2A, S2B, LC08, LC09) | +
| satellite:tile | +string | +Product identifier | +
| satellite:vza | +float | +Viewing zenith angle (degrees) | +
| satellite:sza | +float | +Solar zenith angle (degrees) | +
| satellite:background_tile | +string | +Reference image product identifier | +
| quality:percentage_clear | +float | +Percentage of clear pixels (0-100) | +
| quality:observability | +string | +Image quality classification | +
| quality:notified | +bool | +Whether observation has been notified | +
| quality:last_update | +string | +Last registry modification timestamp (ISO format) | +
| plume:geometry | +binary | +Plume extent as WKB geometry | +
| site:country | +string | +Country of the emission source | +
| site:location_name | +string | +Site location identifier | +
| meteo:wind_u | +float | +U-component of wind at 10m (m/s) | +
| meteo:wind_v | +float | +V-component of wind at 10m (m/s) | +
| split | +string | +Dataset partition identifier (train, test, or validation) | +
| majortom:code | +string | +MajorTOM spherical grid cell identifier (e.g., 0100km_0003U_0005R) with ~dist_km spacing | +
| geoenrich:elevation | +float | +Mean elevation in meters (GLO-30 DEM) | +
| geoenrich:temperature | +float | +Mean annual temperature in °C estimated from MODIS LST data | +
| geoenrich:population | +float | +Population density from HRSL. Facebook High Resolution Settlement Layer | +
| geoenrich:admin_countries | +string | +Country name at centroid location | +
| geoenrich:admin_states | +string | +State/province name at centroid location | +
| geoenrich:admin_districts | +string | +District/county name at centroid location | +
| internal:current_id | +int64 | +Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT). | +
| internal:parent_id | +int64 | +Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT). | +
| Field Name | +Type | +Description | +
|---|---|---|
| id | +string | +Unique sample identifier within parent scope. Must be unique among siblings. | +
| type | +string | +Sample type discriminator (FILE or FOLDER). | +
| geotiff:stats | +list<item: list<item: float>> | +Per-band statistics (List[List[Float32]]): categorical mode returns class probabilities, continuous mode returns [min, max, mean, std, valid%, p25, p50, p75, p95] | +
| taco:header | +binary | +Binary TACOTIFF header (35 bytes + tile counts) for fast reading without IFD parsing | +
| internal:current_id | +int64 | +Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT). | +
| internal:parent_id | +int64 | +Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT). | +
| internal:relative_path | +string | +Relative path from DATA/ directory. Format: {parent_path}/{id} or {id} for level0 (ZIP, FOLDER, TACOCAT). | +
# pip install tacoreader
+import tacoreader
+
+# Load dataset
+ds = tacoreader.load("methaneset-s2-finetune.tacozip")
+
+# Basic info
+print(f"ID: {ds.id}")
+print(f"Version: {ds.version}")
+print(f"Samples: {len(ds.data)}")
+ | Name | +Organization | +|
|---|---|---|
| Cesar Aybar | +Universitat de València, Image and Signal Processing (ISP) Group | +cesar.aybar@uv.es | +
If you use this dataset in your research, please cite:
+@dataset{methaneset-s2-finetune1,
+ title = {MethaneSET-S2 Finetune: Verified Methane Plume Events from Sentinel-2 for Supervised Learning},
+ author = {Cesar Aybar},
+ year = {2018},
+ version = {1.0.0},
+ publisher = {Universitat de València, Image and Signal Processing (ISP) Group}
+}
+