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from django.shortcuts import render
import os
import folium
import geopandas as gpd
from folium import GeoJson
import ee
import geemap
def home(request):
shp_dir = os.path.join(os.getcwd(), 'media', 'shp')
m = folium.Map(location=[25, 67], zoom_start=5)
# Styling for different layers
style_pakistan_districts_dd = {'fillColor': '#228B22', 'color': '#228B22'}
# Define other styles as needed...
# Load GeoJSON data from shapefiles
layers = [
('Pakistan_Districts', 'District_Boundary.shp', style_pakistan_districts_dd),
# Add other layers here...
]
for name, shapefile, style in layers:
data = gpd.read_file(os.path.join(shp_dir, shapefile))
data_geojson = data.to_crs("EPSG:4326").to_json()
# Create a style function that takes feature and style as arguments
def style_function(feature, style=style):
return {
'fillColor': style['fillColor'],
'color': style['color']
}
GeoJson(data_geojson, name=name, style_function=style_function).add_to(m)
# Earth Engine and geemap code (uncommented if authentication is resolved)
# Authenticate the API using your credentials (only need to run this once)
ee.Authenticate()
# Initialize the Earth Engine API
ee.Initialize()
# Define the region of interest (ROI) as a geometry
roi = ee.Geometry.Rectangle([67.56084171593015, 26.467647606743032,
67.71053043663328, 28.467647606743032])
# Load Sentinel-2 dataset
s2_dataset = ee.ImageCollection('COPERNICUS/S2').filterBounds(roi) \
.filterDate('2019-01-01', '2020-01-01') # Define the date range
# Get the first image in the collection
image = s2_dataset.first()
# Select the bands you need
bands = ['B2', 'B3', 'B4'] # Customize according to your needs
# Select the region and scale of the image
image = image.select(bands).clip(roi) # Adjust scale as needed
# Use geemap to display the image (optional)
Map = geemap.Map()
Map.centerObject(roi, zoom=10)
Map.addLayer(image, {'bands': bands, 'min': 0, 'max': 3000}, 'Sentinel-2 Image')
# Map
folium.LayerControl().add_to(m)
m = m._repr_html_()
context = {'my_map': m}
return render(request, 'geoApp/home.html', context)
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