Update README.md

README.md

 ## Overview
-Develop a web-based map viewer that allows comparison of past and present satellite images to observe changes on the campus. The application should highlight differences in land use, vegetation, or construction by integrating raster data into an interactive 2D/3D viewer.  
+Develop a web-based map viewer that allows comparison of past and present satellite images to observe changes on the campus. The application should highlight differences in land use, vegetation, or construction by integrating raster data into an interactive viewer.  
 
 ## Targets
 - Integrate historical and recent satellite imagery.  
 - Develop time-slider or toggle to compare maps across years.  
 - Highlight observed changes (land use, vegetation, new buildings).  
-- Provide both 2D and 3D interactive views.
+- LULC (Land Used Land Cover classification).
 
 ## Data Needs
-- Historical satellite imagery (archive datasets).  
-- Recent satellite imagery (Sentinel, Landsat, or other).  
-- Raster datasets of campus and surrounding areas.
+- Sentinel satellite imagery [via Sentinel Hub API or Copernicus Open Access Hub](https://browser.dataspace.copernicus.eu/?zoom=5&lat=50.16282&lng=20.78613&themeId=DEFAULT-THEME&visualizationUrl=U2FsdGVkX19juWrOo3WUO8vStqIztn7%2FmEyLZpb3Slwy5DZjJNl4MRK8sL0v2HjNcPkTCtsmZS47guvpWiBL%2B7cJwTlnqk0%2F9Z7FeBpV1oCYkVJzgfTyn%2FpJ08iwz8P8&datasetId=S2_L2A_CDAS&demSource3D=%22MAPZEN%22&cloudCoverage=30&dateMode=SINGLE).  
+- [USGS satellite Data](https://earthexplorer.usgs.gov/?utm_source=chatgpt.com)
 
 ## Acceptance Criteria
 - Web viewer loads multiple satellite images without errors.  
 - Users can toggle/slide between time periods.  
-- Clear visualization of observed changes (land use, vegetation, construction).  
-- Interactive and responsive UI in browser.  
+- Clear visualization & Classification of observed changes (land use, vegetation, construction).  
+- Interactive and responsive View.  
 
 ## Environment Setup 
-- **Languages:** JavaScript (CesiumJS, Leaflet, or Mapbox).  
-- **GIS Tools:** QGIS (data prep).  
+  - **GIS Tools:** QGIS (data prep).  
 - **Backend (optional):** Python/Flask or Node.js for serving imagery.  
 - **Data Formats:** GeoTIFF, raster tiles.  
 - **OS:** Mac / Windows / Linux.