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Browse files- pages/00_home.py +38 -3
pages/00_home.py
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### Introduction
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We have used
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to generate a processed multi-band gridded GSWE dataset at 10 m spatial
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resolution, with each band corresponding to one of the
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The dataset comprises of a total of 5153 grids, each grid having a 2°×2° dimension.
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### Datasets
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"""
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### Introduction
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We have used five global datasets viz., ESA, ESRI, JRC, OSM and HydroLAKES,
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to generate a processed multi-band gridded GSWE dataset at 10 m spatial
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resolution, with each band corresponding to one of the five datasets used.
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The dataset comprises of a total of 5153 grids, each grid having a 2°×2° dimension.
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### Datasets
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#### ESA
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- **Description:** ESA Worldcover is a 10 m Sentinel-based global LULC dataset available in gridded format with 11 land cover classes
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- **Website:** <https://esa-worldcover.org/en/data-access>
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- **Year:** 2020
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- **Water Classes:** Permanent water bodies [80], Herbaceous wetland [90], Mangroves [95]
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- **Band Name:** `esa`
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#### Esri
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- **Description:** ESRI Global Land cover product is a 10 m Sentinel-based dataset available in gridded format with 10 land cover classes
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- **Website:** <https://livingatlas.arcgis.com/landcove>
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- **Year:** 2020
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- **Water Classes:** Water [1], Flooded vegetation [4]
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- **Band Name:** `esri`
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#### JRC
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- **Description:** Landsat-based JRC Yearly Water Classification History is a 30 m surface water extent dataset classified using year-by-year occurrence values from 1984-2021 (Pekel et al., 2016)
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- **Website:** <https://esa-worldcover.org/en/data-access>
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- **Year:** 2020
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- **Water Classes:** Seasonal water [2], Permanent water [3]
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- **Band Name:** `jrc`
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#### OSM
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- **Description:** OSM Water Layers is a 90 m gridded global surface water data generated by extracting surface water features from OpenStreetMap (Yamazaki et al., 2019)
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- **Website:** <https://hydro.iis.u-tokyo.ac.jp/~yamadai/OSM_water>
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- **Year:** 2019
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- **Water Classes:** Ocean [1], Large Lake/River [2], Major River [3], Canal [4], Small stream [5]
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- **Band Name:** `osm`
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#### HydroLakes
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- **Description:** HydroLAKES is vector Global Lake dataset derived from merged hydrography (Messager et al., 2016)
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- **Website:** <https://www.hydrosheds.org/>
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- **Year:** N/A
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- **Water Classes:** Global Lakes with size of atleast 10 ha
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- **Band Name:** `hydrolakes`
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"""
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