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| import streamlit as st | |
| import folium | |
| from folium import GeoJson | |
| import geopandas as gpd | |
| import json | |
| import geemap | |
| import ee | |
| import pandas as pd | |
| # Initialize Earth Engine | |
| ee.Initialize() | |
| def main(): | |
| st.title("Geospatial Data Viewer") | |
| # Sidebar for user inputs | |
| st.sidebar.header("Inputs") | |
| selected_dataset = st.sidebar.selectbox('Select Dataset', ['Modis']) | |
| selected_shapefile = st.sidebar.file_uploader('Upload Shapefile', type=['shp']) | |
| selected_date_range_From = st.sidebar.date_input('Start Date', value=pd.to_datetime('2015-07-01')) | |
| selected_date_range_To = st.sidebar.date_input('End Date', value=pd.to_datetime('2019-11-30')) | |
| if selected_shapefile is not None: | |
| shapefile_path = f'./temp_shapefile.shp' | |
| with open(shapefile_path, 'wb') as f: | |
| f.write(selected_shapefile.read()) | |
| # Read the uploaded shapefile | |
| roi_gdf = gpd.read_file(shapefile_path) | |
| roi_geojson = roi_gdf.to_crs("EPSG:4326").to_json() | |
| # Create a folium map | |
| figure = folium.Figure() | |
| m = folium.Map(location=[25.5973518, 65.54495724], zoom_start=7) | |
| m.add_to(figure) | |
| # Add GeoJson layer | |
| roi_geojson_layer = GeoJson(roi_geojson, name='ROI GeoJSON') | |
| roi_geojson_layer.add_to(m) | |
| # Convert the GeoJSON content to Earth Engine object | |
| ee_object = geemap.geojson_to_ee(json.loads(roi_geojson)) | |
| if selected_dataset == "Modis": | |
| F = selected_date_range_From.strftime('%Y-%m-%d') | |
| T = selected_date_range_To.strftime('%Y-%m-%d') | |
| # Fetch MODIS data from Earth Engine | |
| dataset = ee.ImageCollection('MODIS/006/MOD13Q1').filter(ee.Filter.date(F, T)).filterBounds(ee_object) | |
| modisndvi = dataset.select('NDVI').clip(ee_object) | |
| vis_paramsNDVI = { | |
| 'min': 0, | |
| 'max': 9000, | |
| 'palette': ['FE8374', 'C0E5DE', '3A837C', '034B48'] | |
| } | |
| map_id_dict = ee.Image(modisndvi.mean()).getMapId(vis_paramsNDVI) # Use mean image for visualization | |
| folium.raster_layers.TileLayer( | |
| tiles=map_id_dict['tile_fetcher'].url_format, | |
| attr='Google Earth Engine', | |
| name='NDVI', | |
| overlay=True, | |
| control=True | |
| ).add_to(m) | |
| m.add_child(folium.LayerControl()) | |
| # Render the map in Streamlit | |
| st_data = st.components.v1.html(figure.render(), height=600, scrolling=True) | |
| if __name__ == "__main__": | |
| main() | |