Capture dated satellite images of any location to document how land use, vegetation, or development has changed over months or years.
Quick answer: Use the Satellite Imagery tool through ToolRouter to track land use change at a site over time directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
Understanding how a site has changed over time requires access to historical aerial or satellite imagery — something that has always meant expensive specialist subscriptions or cumbersome data portals. Yet the questions that need this data are common: has a competitor expanded their facility? Has deforestation occurred in a supply area? Has a brownfield site changed since the last survey?
Satellite Imagery's dated capture skill retrieves satellite images for any location at a specified date, so you can build a time series showing site changes without leaving your AI workflow. Compare vegetation cover, construction progress, flooding extent, or operational activity across any date range.
Environmental analysts use this to monitor vegetation loss, logistics teams use it to observe competitor facility growth, planning consultants use it to document pre-application site conditions, and insurance assessors use it to verify claims about pre-event site conditions.
How to track land use change at a site over time with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude is ideal for land use change analysis because the raw images need interpretation. You can pull a time series and have Claude describe what changed, when it happened, and what it might indicate — turning satellite data into actionable intelligence.
Give Claude the coordinates or address of the site and the date range you want to analyze.
Ask Claude to run `capture_dated` via the satellite-imagery tool for each date in the series.
Have Claude compare the images and describe what changed between captures.
Ask Claude to interpret the changes in the context of your use case — deforestation, construction, flood extent.
Use Claude's analysis as the basis for a written report or further investigation.
Example prompt for Claude
Try this with Claude using the Satellite Imagery tool
Use satellite-imagery to capture dated images of this agricultural site at the coordinates 51.5, -2.1 for January 2022, July 2022, and January 2023. Compare the three images and describe what changed — focus on vegetation cover, built structures, and any signs of drainage or land preparation work.
Tips for Claude
Select dates that are likely to show meaningful change — seasonal intervals, before and after a known event.
Ask Claude to note any image quality differences between dates — cloud cover affects what is visible.
A three-point time series is usually enough to identify a change trend; add more dates only if you need finer resolution.
ChatGPT 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.
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 for ChatGPT
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 for ChatGPT
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.
Copilot is useful when satellite imagery analysis is one component of a larger due diligence or site appraisal document. Pull the images and embed the findings directly in the document.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create
How to track land use change at a site over time with Copilot
Provide the site coordinates, dates, and the document to update.
Run `capture_dated` via satellite-imagery for the relevant dates.
Ask Copilot to add a site history section to the document with the satellite images and a change description.
Output the updated document for review.
Example prompt for Copilot
Try this with Copilot using the Satellite Imagery tool
Use satellite-imagery to capture dated images of this development site for the last three years and add a site history section to the acquisition appraisal document. Include the images and a description of any significant changes visible over the period.
Tips for Copilot
A site history section in an appraisal document shows that the team has done comprehensive pre-acquisition research.
Note any changes that could indicate environmental liabilities — contamination, drainage, demolition — and flag them for further investigation.
Date-stamped satellite images are admissible evidence in planning and insurance contexts — treat them as formal documentation.
OpenClaw is the right choice for monitoring change across multiple sites simultaneously. Batch capture requests across a portfolio of locations and review change indicators together.
Build your input list — one site per row with coordinates and the dates to capture.
Run `capture_dated` via satellite-imagery across all sites and dates.
Review the full set and flag sites showing significant change for follow-up.
Deliver the complete image set organized by site and date.
Example prompt for OpenClaw
Try this with OpenClaw using the Satellite Imagery tool
Use satellite-imagery to capture dated images for each of these fifteen monitoring sites at three dates — 2021, 2022, and 2023. Return all images organized by site and date for the annual environmental monitoring review.
Tips for OpenClaw
Organize the output by site then date so the review can focus on one location's change sequence at a time.
Flag sites with the most significant visual change for priority follow-up investigation.
Batch monitoring across a portfolio is significantly faster than pulling each site individually from separate data sources.
Frequently Asked Questions
How do I track land use change at a site over time with an AI assistant?
Capture dated satellite images of any location to document how land use, vegetation, or development has changed over months or years. Connect the Satellite Imagery tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Give Claude the coordinates or address of the site and the date range you want to analyze. Ask Claude to run `capture_dated` via the satellite-imagery tool for each date in the series.
Which AI assistants can track land use change at a site over time?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all track land use change at a site over time using the Satellite Imagery tool through ToolRouter, with no API keys or coding required.
What does the Satellite Imagery tool do?
Capture satellite imagery of any location at a specific date, or get current Earth photos from orbit.