show fire maps

Dockerfile

@@ -4,16 +4,13 @@ RUN mamba install -c conda-forge leafmap geopandas localtileserver -y && \
     fix-permissions "${CONDA_DIR}" && \
     fix-permissions "/home/${NB_USER}"
 
-
-
 COPY requirements.txt .
 RUN pip install -r requirements.txt
 
-RUN conda install "jupyterlab>=3" "ipywidgets>=7.6" -c conda-forge -y
-
 RUN mkdir ./pages
 COPY /pages ./pages
 COPY /data ./data
+COPY /public ./public
 
 ENV PROJ_LIB='/opt/conda/share/proj'
 

pages/00_home.py

@@ -2,9 +2,6 @@ import  ee
 import geemap
 import solara
 
-import IPython.display
-# make solara use a real cdn, since the solara cdn proxy is not available
-display(IPython.display.Javascript("solara_cdn = 'https://cdn.jsdelivr.net/npm/'"))
 
 class Map(geemap.Map):
     def __init__(self, **kwargs):
@@ -12,6 +9,7 @@ class Map(geemap.Map):
         self.dataset = ee.Image("UMD/hansen/global_forest_change_2023_v1_11")
         self.add_forest_loss_gain_data()
         self.add_plot_gui()
+        # self.show_fire_map()
 
     def add_forest_loss_gain_data(self):
         self.add_basemap("Esri.WorldImagery")
@@ -36,6 +34,17 @@ class Map(geemap.Map):
             denominator=1e6,
             scale=1000,
         )
+    def show_fire_map(self):
+        roi = ee.Geometry.BBox(-121.0034, 36.8488, -117.9052, 39.0490)
+        start_date = "2020-09-05T15:00:00"
+        end_date = "2020-09-06T02:00:00"
+        data = "GOES-17"
+        scan = "full_disk"
+
+        timelapse = geemap.goes_fire_timelapse(
+            roi, "fire.gif", start_date, end_date, data, scan, framesPerSecond=5
+        )
+        # geemap.show_image(timelapse)
 
 class PieChartPlotter:
     def __init__(self, map_object):
@@ -105,7 +114,9 @@ def Page():
 
             solara.Markdown(markdown)
         with solara.Column(style={"min-width": "500px"}):
-            plotter = PieChartPlotter(map_instance)
+            forest_piechart_image_url = "/static/public/forest_pie_chart.png"
+            solara.Image(forest_piechart_image_url)
+            # plotter = PieChartPlotter(map_instance)
 
         with solara.Column(align="center"):
             markdown = """
@@ -122,20 +133,55 @@ def Page():
 
             solara.Markdown(markdown)
         with solara.Column(style={"min-width": "500px"}):
-            bar_chart_plotter = BarChartPlotter(map_instance)
+            forest_barchart_image_url = "/static/public/forest_bar_chart.png"
+            solara.Image(forest_barchart_image_url)
+            # bar_chart_plotter = BarChartPlotter(map_instance)
         
-    with solara.Column(align="center"):
-        markdown = """
+        with solara.Column(align="center"):
+            markdown = """
+                
+                ### Wildfire mapping
 
-                **Now we can calculate the forest loss area by country and plot it**
+                **Deforestation, caused by farming, cutting down trees, building roads and cities, mining, and fires, is turning forests into farmland, grazing areas, and urban spaces. Let's visualize the fire provided by [GOES satellite](https://science.nasa.gov/mission/goes/) network.
+                We will be using northen clafornia region as our Region of Interest (ROI)**
 
                 ```python
-                    treeloss_year = dataset.select(["lossyear"])
-            
-                    geemap.zonal_stats( treeloss.gt(0), countries, "treeloss.csv", stat_type="SUM", denominator=1e6, scale=1000,)
-                    
-                    geemap.bar_chart( "treeloss.csv", x="NAME", y="sum", max_rows=20, x_label="Country", y_label="Forest loss area (km2)",).show()
+                    roi = ee.Geometry.BBox(-121.0034, 36.8488, -117.9052, 39.0490)
+                    start_date = "2020-09-05T15:00:00"
+                    end_date = "2020-09-06T02:00:00"
+                    data = "GOES-17"
+                    scan = "full_disk"
+
+                    timelapse = geemap.goes_fire_timelapse(
+                        roi, "fire.gif", start_date, end_date, data, scan, framesPerSecond=5
+                    )
+                    geemap.show_image(timelapse)
                 ```
-                """
-        solara.Markdown(markdown)
+                    """
+            solara.Markdown(markdown)
+
+        with solara.Column(align="center", style={"min-width": "500px"}):
+            forest_fire_image_url = "/static/public/fire.gif"
+            solara.Image(forest_fire_image_url)
+
+    
+    # with solara.Column(align="center"):
+    #     markdown = """
+
+    #             **Deforestation, caused by farming, cutting down trees, building roads and cities, mining, and fires, is turning forests into farmland, grazing areas, and urban spaces. Let's visualize the fire provided by [GOES satellite](https://science.nasa.gov/mission/goes/) network.**
+
+    #             ```python
+    #                 roi = ee.Geometry.BBox(-121.0034, 36.8488, -117.9052, 39.0490)
+    #                 start_date = "2020-09-05T15:00:00"
+    #                 end_date = "2020-09-06T02:00:00"
+    #                 data = "GOES-17"
+    #                 scan = "full_disk"
+
+    #                 timelapse = geemap.goes_fire_timelapse(
+    #                     roi, "fire.gif", start_date, end_date, data, scan, framesPerSecond=5
+    #                 )
+    #                 geemap.show_image(timelapse)
+    #             ```
+    #             """
+    #     solara.Markdown(markdown)
 

requirements.txt

@@ -1,4 +1,4 @@
 geemap
 solara
 geopandas
-pydantic< 2.0 
+pydantic< 2.0