gswis / pages /00_home.py
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import solara
@solara.component
def Page():
with solara.Column(align="center"):
markdown = """
## Global Surface Water Information System (GSWIS)
### Introduction
We have used five global datasets viz., ESA, ESRI, JRC, OSM and HydroLAKES,
to generate a processed multi-band gridded GSWE dataset at 10 m spatial
resolution, with each band corresponding to one of the five datasets used.
The dataset comprises of a total of 5153 grids, each grid having a 2°×2° dimension.
**Click on the GSWIS tab above to visualize the datasets interactively.**
### Datasets
#### ESA
- **Description:** ESA Worldcover is a 10 m Sentinel-based global LULC dataset available in gridded format with 11 land cover classes
- **Website:** <https://esa-worldcover.org/en/data-access>
- **Year:** 2020
- **Water Classes:** Permanent water bodies [80], Herbaceous wetland [90], Mangroves [95]
- **Band Name:** `esa`
#### Esri
- **Description:** ESRI Global Land cover product is a 10 m Sentinel-based dataset available in gridded format with 10 land cover classes
- **Website:** <https://livingatlas.arcgis.com/landcove>
- **Year:** 2020
- **Water Classes:** Water [1], Flooded vegetation [4]
- **Band Name:** `esri`
#### JRC
- **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)
- **Website:** <https://esa-worldcover.org/en/data-access>
- **Year:** 2020
- **Water Classes:** Seasonal water [2], Permanent water [3]
- **Band Name:** `jrc`
#### OSM
- **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)
- **Website:** <https://hydro.iis.u-tokyo.ac.jp/~yamadai/OSM_water>
- **Year:** 2019
- **Water Classes:** Ocean [1], Large Lake/River [2], Major River [3], Canal [4], Small stream [5]
- **Band Name:** `osm`
#### HydroLakes
- **Description:** HydroLAKES is vector Global Lake dataset derived from merged hydrography (Messager et al., 2016)
- **Website:** <https://www.hydrosheds.org/>
- **Year:** N/A
- **Water Classes:** Global Lakes with size of atleast 10 ha
- **Band Name:** `hydrolakes`
"""
solara.Markdown(markdown)