pages/00_home.py

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.

        ### 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)