How to Track Land Use Change at a Site Over Time with ChatGPT
Track Land Use Change at a Site Over Time with ChatGPT and ToolRouter. Build satellite time series reports for environmental, planning, or due diligence purposes.
ToolSatellite ImageryChatGPT is a good fit when the satellite time series analysis needs to be packaged as a formal report. Pull the images, analyze the changes, and produce a written report suitable for environmental assessment, planning, or due diligence in one session.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
Description
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the Satellite Imagery tool:
- Provide the site coordinates, the date range, and the purpose of the analysis.
- Run `capture_dated` via satellite-imagery for each date in the series.
- Ask ChatGPT to analyze the change sequence and write a site change summary.
- Have ChatGPT produce a structured report with findings and any recommendations.
Example Prompt
Try this with ChatGPT using the Satellite Imagery tool
Use satellite-imagery to capture dated images of this brownfield site at the coordinates 53.4, -2.2 for three dates — two years before and one year before the current date. Produce a site change summary report describing any demolition, vegetation removal, or site preparation visible in the sequence.
Tips
- Frame the analysis around the purpose — planning evidence, insurance claim, due diligence — so the report is written for the right audience.
- Include the image dates in the report so the timeline is explicit for any review.
- A satellite change report is strongest when it describes what changed and does not overreach into speculation about why.