Global Impact Trace (GIT)

What is it?

  • Claims kept repeating. The trees were protected. The land was empty. The impact stayed inside the fence. A press photo cannot settle that.
  • Global Impact Trace checks one place across land cover, distance, climate, air, species, and a few local facts. Each result stays separate.
  • To give a context, the FAO put deforestation at about 10 million hectares a year, and the UN expects about 68 percent of people in cities by 2050. This is the check for one site inside that picture.

  • The public site is the demo. It loads pre-analyzed case files and runs with no AI. The investigator and live search stay on the machine used for the video.

Team

  • Vishnu built the mapping, the dashboard application, and the AI agent, and tested the runs.
  • Shruthi led UI/UX, research on the environmental and other metrics, data collection from the sources, and testing and validation.

Tech Stack We Used

  • React and Cesium for the photo, the year scrub, and the change layer.
  • A Python API reads Impact Observatory land cover, counts the disk, two rings, and a comparison patch, and pulls NASA climate, air, species, events, and news.
  • Groq writes the reading. Local cards use at most three web searches.

Real world impact and Novelty

  • A city desk, a newsroom, or the neighbors can check one site before the claim becomes the record.
  • Gigafactory Berlin, 2019 to 2023: trees inside the disk went from 100 percent (134.1 ha) to 4.3 percent (5.8 ha), down 95.7 points. Built land went from 0 to 83.9 percent.
  • Just outside, trees fell 35.9 points. Farther out, 3. A patch about 4 km southwest barely moved. About 128 hectares left that one disk.
  • The dimensions stay separate. There is no single destruction score.
  • Distance is part of the result: inside, near, and outer rings, plus a comparison disk.
  • The investigator keeps two or three NASA series, sets the rest aside, and says the cell is regional.
  • Local facts are chosen for that place, and left blank when the page has no figure.

Core features

  • Open a case and the years and radius move with it. Or type a place, a building, or a policy.
  • Investigate paints the change layer. Orange-red means trees became built.
  • Brief, Metrics, Local, and Evidence each have one job.
  • The street photo scrubs from 2014 to 2026. The percentages do not come from that photo.

Additional features

  • A NASA view for a dated photo, plants, or ground heat.
  • Regional air, species records, natural events, and news leads.
  • Hectares translated into an aboveground CO2 figure and a simple 25 mm storm scenario.
  • In Chicago or New York, a permit can start a disk. A permit newer than 2023 is labeled as context.
  • If the model key is missing, the measured lines still show.

What did we learn?

  • The globe is a picture. The percentages come only from a 10 m land-cover map, 2017 to 2023.
  • The code measures the pixels. The model writes the brief and picks which climate series to show.
  • A web number is safe only when it is on the linked page. A wetter regional year is not the project's doing.

Challenges we Faced

  • The class map ends in 2023, while the photo bar runs further.
  • A cold site is slow because the map windows download first. The full stack stays local, so the public demo ships saved readings.
  • A 10 m map often misses street trees and calls some parks built. We dropped sites where both years already read as built.

Future enhancements and Next Steps

  • A population grid, protected land the disk overlaps, and night lights as a second check on construction.
  • Two cases on one sheet.
  • A newer land-cover year when a trustworthy map exists past 2023.
  • Verify a short list of sites against parcels, permits, and on-the-ground photos before treating a reading as final.
  • Keep a human review on the brief, and show the map version and date on every run.
  • Move the map work to a queue so more than one person can run a site.
  • Add accounts and a clear line between a measured class change and a claim that the project caused it.
  • Only after that is this a product a desk could cite, rather than a demo of saved cases with no AI on the public site.

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