This application is designed to monitor and analyze hydrological changes in the Masurian region (Mazury, Poland) using satellite imagery and AI-based predictions. It uses data from Google Earth Engine (especially Sentinel-2 images) and hydrological data from Polish sources (like IMGW) to assess the impact of climate change and to predict future environmental shifts. Map Interactive spatial analysis Filters Dynamic data selection Charts Trends, analyses, predictions Simulations Impact of climate change Report Summary and recommendations
To upload files, please first save the app
import streamlit as st
import pandas as pd
import numpy as np
import altair as alt
st.title('Masurian Hydrology Monitoring')
st.sidebar.header('Filters')
selected_data = st.sidebar.selectbox('Select Data Source', ['Satellite Imagery', 'Hydrological Data'])
if selected_data == 'Satellite Imagery':
st.write('Displaying Satellite Imagery data...')
# Placeholder for satellite data processing
elif selected_data == 'Hydrological Data':
st.write('Displaying Hydrological Data...')
# Placeholder for hydrological data processing
# Placeholder for charts and analysis
st.header('Analysis and Predictions')
# Display trends and predictions here
# Placeholder for simulations
st.header('Climate Change Simulations')
# Display simulations based on predictions here
# Placeholder for report
st.header('Summary and Recommendations')
st.write('Conclusions and recommendations based on the analysis will be displayed here.')Hi! I can help you with any questions about Streamlit and Python. What would you like to know?