Add DW dataset

pages/00_home.py

@@ -15,6 +15,7 @@ def Page():
 
         - Rajib et al. 2023. A call for consistency and integration in global surface water estimates. *Environmental Research Letters*. <https://doi.org/10.1088/1748-9326/ad1722  >
         - Rajib A, Khare A, Wu Q and Gupta B. 2023. Global Surface Water Information System (GSWIS). Available at: <https://gswis.gishub.org>
+        - Rajib A and Khare A, 2024. <https://doi.org/10.4211/hs.9d60389f55b648149a788a2ff7bc3766>
 
         ### Acknowledgements
 

pages/01_datasets.py

@@ -6,7 +6,12 @@ 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. **Click on the Explore tab above to visualize the datasets interactively.**
+        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
 
@@ -41,10 +46,18 @@ def Page():
         #### 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 >
+        - **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**
 
         """

pages/02_explore.py

@@ -24,7 +24,7 @@ def zonal_stats_chart(image, vector, **kwargs):
     df = geemap.ee_to_df(result).T
     df.reset_index(inplace=True)
     df.columns = ["Type", "Area"]
-    chart = geemap.bar_chart(df, "Type", "Area", x_label='', y_label="Area (m2)")
+    chart = geemap.bar_chart(df, "Type", "Area", x_label="", y_label="Area (m2)")
     chart.update_layout(
         margin=dict(l=0, r=0, t=10, b=0),
         height=280,
@@ -33,7 +33,7 @@ def zonal_stats_chart(image, vector, **kwargs):
     return chart
 
 
-def add_analysis_gui(m=None, position='topright', opened=True):
+def add_analysis_gui(m=None, position="topright", opened=True):
     """Create a toolbar widget.
 
     Args:
@@ -41,8 +41,8 @@ def add_analysis_gui(m=None, position='topright', opened=True):
         opened (bool, optional): Whether to open the toolbar. Defaults to True.
     """
 
-    fc = ee.FeatureCollection('users/giswqs/public/countries')
-    countries = fc.aggregate_array('NAME').getInfo()
+    fc = ee.FeatureCollection("users/giswqs/public/countries")
+    countries = fc.aggregate_array("NAME").getInfo()
     countries.sort()
     gswe = ee.ImageCollection("users/h2i_lab/gswe/gswe_datasets")
     image = gswe.mosaic()
@@ -117,9 +117,9 @@ def add_analysis_gui(m=None, position='topright', opened=True):
     def change_country(change):
         if change["new"]:
             country_name = country.value
-            country_fc = fc.filter(ee.Filter.eq('NAME', country_name))
-            vec_style = {'color': '000000ff', 'width': 3, 'fillColor': '00000000'}
-            m.addLayer(country_fc.style(**vec_style), {}, 'Selected Country')
+            country_fc = fc.filter(ee.Filter.eq("NAME", country_name))
+            vec_style = {"color": "000000ff", "width": 3, "fillColor": "00000000"}
+            m.addLayer(country_fc.style(**vec_style), {}, "Selected Country")
             m.centerObject(country_fc)
             m.selected_country = country_fc
             toolbar_footer.children = [radio, country, buttons]
@@ -207,14 +207,14 @@ def add_analysis_gui(m=None, position='topright', opened=True):
 class Map(geemap.Map):
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
-        self.add_basemap('SATELLITE', show=False)
+        self.add_basemap("SATELLITE", show=False)
         self.add_ee_data()
         self.add_layer_manager()
-        add_analysis_gui(self)
+        # add_analysis_gui(self)
         # self.add_inspector()
 
     def add_ee_data(self):
-        # gswe = ee.ImageCollection("users/h2i_lab/gswe/gswe_datasets")       
+        # gswe = ee.ImageCollection("users/h2i_lab/gswe/gswe_datasets")
         # self.addLayer(gswe.select("esa"), {'palette': ['red']}, "ESA")
         # self.addLayer(gswe.select("esri"), {'palette': ['yellow']}, "ESRI")
         # self.addLayer(gswe.select("jrc"), {'palette': ['blue']}, "JRC")
@@ -223,25 +223,76 @@ class Map(geemap.Map):
 
         gswe = ee.ImageCollection("users/h2i_lab/gswe/datasets")
         gswe = gswe.select(
-              ["b1", "b2", "b3", "b4", "b5"],
-              ['esa', 'esri', 'osm', 'jrc', 'hydrolakes']
-          )
-        self.addLayer(gswe.select("esa"), {'palette': ['red']}, "ESA")
-        self.addLayer(gswe.select("osm"), {'palette': ['green']}, "OSM")
-        self.addLayer(gswe.select("jrc"), {'palette': ['blue']}, "JRC")
-        self.addLayer(gswe.select("esri"), {'palette': ['yellow']}, "ESRI")
-        self.addLayer(gswe.select("hydrolakes"), {'palette': ['purple']}, "Hydrolakes")
+            ["b1", "b2", "b3", "b4", "b5"], ["esa", "esri", "osm", "jrc", "hydrolakes"]
+        )
+        self.addLayer(gswe.select("esa"), {"palette": ["red"]}, "ESA")
+        self.addLayer(gswe.select("osm"), {"palette": ["green"]}, "OSM")
+        self.addLayer(gswe.select("jrc"), {"palette": ["blue"]}, "JRC")
+        self.addLayer(gswe.select("esri"), {"palette": ["yellow"]}, "ESRI")
+        self.addLayer(gswe.select("hydrolakes"), {"palette": ["purple"]}, "Hydrolakes")
+
+        water_grids = ee.ImageCollection(
+            "projects/h2i-lab/assets/DynamicWorld_v1/Main/GlobalGrids_10m"
+        )
+        water_classVis = {"min": 1, "max": 3, "palette": ["blue", "yellow", "red"]}
+
+        water_occurrence_vis = {
+            "min": 0,
+            "max": 100,
+            "palette": ["red", "yellow", "green", "blue"],
+        }
+        water_variability_vis = {
+            "min": 0,
+            "max": 100,
+            "palette": ["blue", "green", "yellow", "red"],
+        }
+
+        self.addLayer(
+            water_grids.select("b3"),
+            water_variability_vis,
+            "DW Water Variability",
+            False,
+        )
+        self.addLayer(
+            water_grids.select("b2"), water_occurrence_vis, "DW Water Occurrence", False
+        )
+        self.addLayer(water_grids.select("b1"), water_classVis, "DW Water Class", False)
+
+        self.add_colorbar(
+            vis_params=water_variability_vis,
+            label="DW Water Variability (%)",
+            orientation="horizontal",
+            layer_name="DW Water Variability",
+        )
+        self.add_colorbar(
+            vis_params=water_occurrence_vis,
+            label="DW Water Occurrence (%)",
+            orientation="horizontal",
+            layer_name="DW Water Occurrence",
+        )
+
+        waterclass_dict = {
+            "Permanent": "0000FF",
+            "Seasonal": "FFFF00",
+            "Land": "FF0000",
+        }
+        self.add_legend(
+            legend_dict=waterclass_dict,
+            title="DW Water Class",
+            layer_name="DW Water Class",
+        )
+
         legend_dict = {
-            'ESA': 'ff0000',
-            'ESRI': 'ffff00',
-            'JRC': '0000ff',
-            'OSM': '00ff00',
-            'Hydrolakes': '800080',
+            "ESA": "ff0000",
+            "ESRI": "ffff00",
+            "JRC": "0000ff",
+            "OSM": "00ff00",
+            "Hydrolakes": "800080",
         }
         # self.add_legend(legend_dict=legend_dict, position='bottomleft')
-        fc = ee.FeatureCollection('users/giswqs/public/countries')
-        style = {'color': '000000ff', 'width': 1, 'fillColor': '00000000'}
-        self.addLayer(fc.style(**style), {}, 'Countries', False)
+        fc = ee.FeatureCollection("users/giswqs/public/countries")
+        style = {"color": "000000ff", "width": 1, "fillColor": "00000000"}
+        self.addLayer(fc.style(**style), {}, "Countries", False)
 
 
 @solara.component
@@ -253,7 +304,7 @@ def Page():
             center=center.value,
             on_center=center.set,
             scroll_wheel_zoom=True,
-            add_google_map=True,
+            add_google_map=False,
             height="800px",
             data_ctrl=False,
         )