import streamlit as st import folium import geopandas as gpd import json import geemap.foliumap as geemap import ee import pandas as pd import os from google.auth.transport.requests import Request import google.auth.exceptions from streamlit.components.v1 import html from datetime import date from shapely.geometry import Polygon # Define the pages def page_home(): st.title("Home Page") st.write("Welcome to the Home Page!") def page_about(): st.title("About Page") st.write("The main purpose is to provide navigation to other pages/maps.") # Path to your shapefiles and service account key SHAPEFILE_DIR = 'C:/Users/piv/Desktop/y/media/shp' # Google Earth Engine Authentication def initialize_gee(): service = os.getenv('SA') file = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'gee', 'ee-muzzamil1-37ebc3dece52.json') credentials = ee.ServiceAccountCredentials(service, file) try: ee.Initialize(credentials) st.success("Google Earth Engine initialized successfully.") except google.auth.exceptions.RefreshError: try: request = Request() credentials.refresh(request) ee.Initialize(credentials) st.success("Google Earth Engine token refreshed and initialized successfully.") except Exception as e: st.error(f"Error refreshing Google Earth Engine token: {e}") except Exception as e: st.error(f"Error initializing Google Earth Engine: {e}") # Interactive Map Page def interactive_map_page(): st.title("Interactive Map") submit_control() # Create two columns: one for the map and one for the controls map_col, control_col = st.columns([3, 1]) # Adjust column width ratios as needed # Map column with map_col: if 'submitted' in st.session_state and st.session_state.submitted: st.markdown("### Satellite Data Map") st.components.v1.html(st.session_state.folium_map_html, height=600) # Control column with control_col: st.header("Map Controls") selected_dataset = st.selectbox( "Select Dataset", ["Modis", "dataset_nighttime", 'precipitation', 'GlobalSurfaceWater', 'WorldPop', 'COPERNICUS'] ) selected_date_range_From = st.date_input("From", value=pd.to_datetime("2015-07-01")) selected_date_range_To = st.date_input("To", value=pd.to_datetime("2023-09-30")) shape_options = [ 'District_Boundary', 'hydro_basins', 'karachi', 'National_Constituency_with_Projected_2010_Population', 'Provincial_Boundary', 'Provincial_Constituency', 'Tehsil_Boundary', 'Union_Council' ] selected_shape = st.selectbox("Select Shape", shape_options) if st.button("Submit"): handle_submit( selected_dataset, selected_date_range_From, selected_date_range_To, selected_shape ) def create_folium_map(selected_dataset, ee_object, start_date_str, end_date_str): folium_map = folium.Map(location=[25.5973518, 65.54495724], zoom_start=7) try: if selected_dataset == "Modis": dataset = ee.ImageCollection('MODIS/006/MOD13Q1') \ .filter(ee.Filter.date(start_date_str, end_date_str)) \ .filterBounds(ee_object) def clip_image(img): return img.clip(ee_object).select('NDVI') clipped_collection = dataset.map(clip_image) modis_ndvi = clipped_collection.mean() vis_params_ndvi = { 'min': 0, 'max': 9000, 'palette': ['FE8374', 'C0E5DE', '3A837C', '034B48'] } modis_ndvi_map_id = modis_ndvi.getMapId(vis_params_ndvi) folium.TileLayer( tiles=modis_ndvi_map_id['tile_fetcher'].url_format, attr='Google Earth Engine', name='NDVI', overlay=True, control=True ).add_to(folium_map) elif selected_dataset == "dataset_nighttime": dataset_nighttime = ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG') \ .filter(ee.Filter.date(start_date_str, end_date_str)) nighttime = dataset_nighttime.select('avg_rad').mosaic() nighttime_clipped = nighttime.clip(ee_object) nighttime_vis = { 'min': 0.0, 'max': 60.0, 'palette': ['1a3678', '2955bc', '5699ff', '8dbae9', 'acd1ff', 'caebff', 'e5f9ff', 'fdffb4', 'ffe6a2', 'ffc969', 'ffa12d', 'ff7c1f', 'ca531a', 'ff0000', 'ab0000'] } nighttime_map_id = nighttime_clipped.getMapId(nighttime_vis) folium.TileLayer( tiles=nighttime_map_id['tile_fetcher'].url_format, attr='Google Earth Engine', name='Nighttime Lights', overlay=True, control=True ).add_to(folium_map) elif selected_dataset == "precipitation": dataset_precipitation = ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY') \ .filter(ee.Filter.date(start_date_str, end_date_str)) precipitation = dataset_precipitation.mosaic().clip(ee_object) precip_vis = { 'min': 0, 'max': 300, 'palette': ['blue', 'cyan', 'lime', 'yellow', 'red'] } precip_map_id = precipitation.getMapId(precip_vis) folium.TileLayer( tiles=precip_map_id['tile_fetcher'].url_format, attr='Google Earth Engine', name='Precipitation', overlay=True, control=True ).add_to(folium_map) elif selected_dataset == "GlobalSurfaceWater": st.warning("GlobalSurfaceWater dataset is not configured.") elif selected_dataset == "WorldPop": dataset = ee.ImageCollection('WorldPop/GP/100m/pop') \ .filterBounds(ee_object) \ .filter(ee.Filter.date(start_date_str, end_date_str)) population = dataset.mean().clip(ee_object) pop_vis = { 'min': 0, 'max': 1000, 'palette': ['blue', 'green', 'yellow', 'red'] } pop_map_id = population.getMapId(pop_vis) folium.TileLayer( tiles=pop_map_id['tile_fetcher'].url_format, attr='Google Earth Engine', name='World Population', overlay=True, control=True ).add_to(folium_map) elif selected_dataset == "COPERNICUS": dataset = ee.ImageCollection('COPERNICUS/S2') \ .filterBounds(ee_object) \ .filter(ee.Filter.date(start_date_str, end_date_str)) sentinel = dataset.median().clip(ee_object) vis_params = { 'bands': ['B4', 'B3', 'B2'], 'min': 0, 'max': 3000, 'gamma': 1.4 } copernicus_map_id = sentinel.getMapId(vis_params) folium.TileLayer( tiles=copernicus_map_id['tile_fetcher'].url_format, attr='Google Earth Engine', name='Copernicus Sentinel-2', overlay=True, control=True ).add_to(folium_map) folium_map.add_child(folium.LayerControl()) except Exception as e: st.error(f"Error processing dataset: {e}") folium_map_html = folium_map._repr_html_() return folium_map_html def handle_submit(selected_dataset, selected_date_range_From, selected_date_range_To, selected_shape): shapefile_name = f'{selected_shape}.shp' shapefile_path = os.path.join(SHAPEFILE_DIR, shapefile_name) if os.path.exists(shapefile_path): try: roi_gdf = gpd.read_file(shapefile_path) roi_geojson = roi_gdf.to_crs("EPSG:4326").to_json() except Exception as e: st.error(f"Error reading shapefile: {e}") return try: ee_object = geemap.geojson_to_ee(json.loads(roi_geojson)) except Exception as e: st.error(f"Error converting GeoJSON to Earth Engine object: {e}") return st.markdown("### Satellite Data Map") folium_map_html = create_folium_map( selected_dataset, ee_object, selected_date_range_From.strftime('%Y-%m-%d'), selected_date_range_To.strftime('%Y-%m-%d') ) html(folium_map_html, height=600) else: st.error("Selected shapefile does not exist.") def submit_control(): selected_dataset = st.sidebar.selectbox( "Select Dataset", ["Modis", "dataset_nighttime", 'precipitation', 'GlobalSurfaceWater', 'WorldPop', 'COPERNICUS'] ) selected_date_range_From = st.sidebar.date_input("From", value=pd.to_datetime("2015-07-01")) selected_date_range_To = st.sidebar.date_input("To", value=pd.to_datetime("2023-09-30")) shape_options = [ 'District_Boundary', 'hydro_basins', 'karachi', 'National_Constituency_with_Projected_2010_Population', 'Provincial_Boundary', 'Provincial_Constituency', 'Tehsil_Boundary', 'Union_Council' ] selected_shape = st.sidebar.selectbox("Select Shape", shape_options) if st.sidebar.button("Submit"): st.session_state.selected_dataset = selected_dataset st.session_state.selected_date_range_From = selected_date_range_From st.session_state.selected_date_range_To = selected_date_range_To st.session_state.selected_shape = selected_shape st.session_state.submitted = True else: st.session_state.submitted = False if 'submitted' in st.session_state and st.session_state.submitted: handle_submit( st.session_state.selected_dataset, st.session_state.selected_date_range_From, st.session_state.selected_date_range_To, st.session_state.selected_shape ) def main(): st.set_page_config(layout="wide") st.title("Satellite Data Visualization") initialize_gee() if __name__ == "__main__": main()