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import streamlit as st
import pandas as pd
import ee
import geemap
# Earth Engine authentication
service_account = 'earth-engine-service-account@ee-esmaeilkiani1387.iam.gserviceaccount.com'
credentials = ee.ServiceAccountCredentials(service_account, 'ee-esmaeilkiani1387-1b2c5e812a1d.json')
ee.Initialize(credentials)
# Load the CSV file
@st.cache_data
def load_data():
return pd.read_csv('/home/user/Farm_Details_Export.csv')
df = load_data()
st.title('Farm Finder and Sentinel-2 Imagery Viewer')
# Farm search functionality
farm_name = st.text_input('Enter farm name:')
if farm_name:
farm = df[df['farm_name'].str.contains(farm_name, case=False)]
if not farm.empty:
st.write(farm)
else:
st.write('Farm not found')
# Sentinel-2 index selection
indices = {'NDVI': 'NDVI', 'EVI': 'EVI', 'NDWI': '(B3 - B8) / (B3 + B8)'}
selected_index = st.selectbox('Select Sentinel-2 index:', list(indices.keys()))
# Date range selection
start_date = st.date_input('Start date')
end_date = st.date_input('End date')
if st.button('Show Map'):
# Create a map centered on the mean coordinates of all farms
center_lat = df['latitude'].mean()
center_lon = df['longitude'].mean()
m = geemap.Map(center=[center_lat, center_lon], zoom=10)
# Add Sentinel-2 imagery with selected index
s2_collection = (ee.ImageCollection('COPERNICUS/S2_SR')
.filterDate(start_date, end_date)
.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 20)))
if selected_index == 'NDVI':
vis_params = {'min': 0, 'max': 1, 'palette': ['red', 'yellow', 'green']}
elif selected_index == 'EVI':
vis_params = {'min': -1, 'max': 1, 'palette': ['blue', 'white', 'green']}
else: # NDWI
vis_params = {'min': -1, 'max': 1, 'palette': ['red', 'white', 'blue']}
def add_index(image):
index = image.expression(indices[selected_index], {
'B3': image.select('B3'),
'B4': image.select('B4'),
'B8': image.select('B8'),
}).rename(selected_index)
return image.addBands(index)
s2_with_index = s2_collection.map(add_index)
median_index = s2_with_index.select(selected_index).median()
m.addLayer(median_index, vis_params, selected_index)
# Add farm locations to the map
for idx, row in df.iterrows():
info = f"Farm: {row['farm_name']}<br>Age: {row['age']}<br>Variety: {row['variety']}"
m.add_marker(location=[row['latitude'], row['longitude']], popup=info)
# Display the map
m.to_streamlit(height=600)
if __name__ == '__main__':
st.write('App is running')
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