Rima Hermayani
Ploterra analysis result showing parcel overlap against forest-cover raster data

Project / 01

Ploterra

Production GIS platform for parcel-based deforestation analysis with raster processing, authenticated history, cloud storage, and PDF reporting.

Live Demo
Category
Geospatial SaaS
Industry
Sustainability / Compliance / Forestry
Status
Live / Production

Overview

Ploterra is a production GIS platform for screening land parcels against forest-cover data and preparing EUDR compliance analysis.

The product combines authenticated project history, raster selection or upload, vector analysis, cloud storage, and downloadable map reporting in one workflow.

Challenge

Deforestation screening requires uploaded parcel boundaries to be validated and compared with large raster datasets while keeping results understandable, traceable, and ready to share. The workflow must handle spatial reference systems, raster and vector formats, processing limits, and long-running analysis without losing the user’s project history.

Solution

A FastAPI processing service coordinates validation and geospatial operations with Rasterio, rio-tiler, Shapely, PyProj, NumPy, and Pillow. Supabase provides authentication and protected history, Cloudflare R2 stores raster assets, and the interface presents overlap results, maps, GeoJSON exports, and PDF reports.

Key Features

  • 01Authentication and protected analysis history
  • 02Raster selection and manual raster upload
  • 03Raster and vector overlap analysis
  • 04Deforestation analysis for parcel data
  • 05Interactive result mapping
  • 06PDF map and report export
  • 07Cloud raster storage
  • 08Validation, rate limiting, logging, automated tests, and CI

Technology

Frontend

Vite

Backend

PythonFastAPIUvicorn

Database / Auth

SupabaseSupabase Auth

GIS / Mapping

Rasteriorio-tilerShapelyPyProjNumPyPillow

Infrastructure

Cloudflare R2RailwayGitHub Actions

Rima’s Contribution

Rima’s contribution spans the full-stack product workflow: application structure, authenticated analysis history, upload and validation flows, raster and vector processing, interactive result presentation, cloud-storage integration, reporting, automated tests, CI, and deployment.

Ploterra new-analysis workspace with raster and vector upload controls
Figure 01Parcel and raster inputs are prepared in the analysis workspace.
Ploterra map with forest overlap results and summary statistics
Figure 02Analysis results combine mapped intersections with clear area statistics.
Exported Ploterra EUDR deforestation analysis map and area table
Figure 03A report-ready export turns spatial results into a shareable map.

What This Demonstrates

This project demonstrates production full-stack GIS development across spatial processing, authentication, cloud storage, reporting, testing, and deployment.

Next step

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