| import solara |
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|
| @solara.component |
| def Page(): |
| with solara.Column(align="center"): |
| markdown = """ |
| |
| GSWIS currently houses five global surface water datasets used to generate a processed, |
| multi-band gridded dataset at 10-meter spatial resolution, with each band corresponding |
| to one of the five datasets used. It also hosts a 10-meter spatial resolution multi-band |
| gridded global composite of surface water occurrence, permanent and seasonal surface water |
| extent, and surface water variability, derived from Dynamic World Land Cover product. |
| **Click on the Explore tab above to visualize the datasets interactively.** |
| |
| ### Datasets |
| |
| #### European Space Agency (ESA) WorldCover |
| - **Description:** ESA WC is a 10-m Sentinel-based gridded global LULC dataset |
| - **Website:** <https://esa-worldcover.org/en/data-access> |
| - **Reference**: Zanaga et al 2021. <https://doi.org/10.5281/zenodo.5571936> |
| - **Year used in GSWIS:** 2020 |
| - **Water Classes used in GSWIS:** Permanent water bodies [80], Herbaceous wetland [90], Mangroves [95] |
| |
| #### Environmental Systems Research Institute (ESRI) Global Land Cover(GLC) product |
| - **Description:** ESRI GLC is a 10-m Sentinel-based gridded global LULC dataset |
| - **Website:** <https://livingatlas.arcgis.com/landcove> |
| - **Reference**: Karra et al 2021. <https://doi.org/10.1109/IGARSS47720.2021.9553499> |
| - **Year used in GSWIS:** 2020 |
| - **Water Classes used in GSWIS:** Water [1], Flooded vegetation [4] |
| |
| #### Joint Research Centre (JRC) Global Surface Water (GSW) |
| - **Description:** GSW is a 30-m Landsat-based gridded global surface water extent dataset |
| - **Website:** <https://global-surface-water.appspot.com/download> |
| - **Reference**: Pekel et al 2016. <https://doi.org/10.1038/nature20584> |
| - **Year used in GSWIS:** 2020 |
| - **Water Classes used in GSWIS:** Seasonal water [2], Permanent water [3] from Yearly Water Classification History |
| |
| #### OpenStreetMap (OSM) Water Layers |
| - **Description:** OSM is a 90-m gridded global surface water data generated by extracting surface water features from OpenStreetMap |
| - **Website:** <https://hydro.iis.u-tokyo.ac.jp/~yamadai/OSM_water> |
| - **Reference**: Yamazaki et al 2019. <https://doi.org/10.1029/2019WR024873> |
| - **Year used in GSWIS:** 2019 |
| - **Water Classes used in GSWIS:** Ocean [1], Large Lake/River [2], Major River [3] |
| |
| #### HydroLakes |
| - **Description:** HydroLAKES is vector global lake dataset derived from merged hydrography |
| - **Website:** <https://www.hydrosheds.org/products/hydrolakes> |
| - **Reference**: Messager et al 2016. <https://doi.org/10.1038/ncomms13603> |
| - **Year used in GSWIS:** HydroLAKES is not associated with any specific time or year |
| - **Water Classes used in GSWIS:** Global Lakes with size of at least 10 ha |
| |
| #### Dynamic World (DW) based global surface water (GSW) dataset |
| - **Description:** DW based GSW dataset is a 10-m gridded multi-band global composite derived from Sentinel-2 based Dynamic World Land cover product ([Brown et al., 2022](https://doi.org/10.1038/s41597-022-01307-4)) |
| - **Website:** <https://dynamicworld.app> |
| - **Reference**: Rajib and Khare, 2024. <https://doi.org/10.4211/hs.9d60389f55b648149a788a2ff7bc3766> |
| - **Year used in GSWIS:** 2015-2023 |
| - **Water Classes used in GSWIS:** Surface water occurrence, Permanent and Seasonal surface water extent, Surface water variability |
| |
| |
| **Note: Numbers indicate the class ID in the original dataset** |
| |
| """ |
|
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| solara.Markdown(markdown) |
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|
