In the Peruvian Amazon, the land tells a complex story: forest concessions overlapping with untitled indigenous territories, buffer zones bordering palm plantations, authorized harvesting areas adjacent to fragile ecosystems. Understanding this territorial reality — and documenting it with technical rigor — is the essence of spatial due diligence.
Fundamental Data Layers for Amazonian Territorial Analysis
- MapBiomas Peru — Annual land cover and use classification at 30m. Available on Google Earth Engine.
- GEOBOSQUES (MINAM) — Peru's official humid Amazon forest loss monitoring system. The reference source for regulatory processes.
- SIAMAZONIA — Portal with forest zoning layers, timber concessions, conservation concessions, and permanent production forests (BPP).
- BDPI (MINCUL) — Database of indigenous community territories, titled and in process. Critical for any Amazon project.
- SERNANP — Boundaries of all Peru's protected areas and buffer zones, downloadable as shapefile.
Spatial Due Diligence Methodology
- Define the Area of Interest (AOI) — including a buffer zone (5–25 km depending on project type) to capture influence area risks.
- Systematic intersection with risk layers — AOI vs. primary forest 2020, post-2020 deforestation alerts, indigenous territories, active concessions, ANPs, and fragile ecosystems.
- Temporal change analysis — reconstruct the landscape history using MapBiomas or Landsat time series. A parcel without forest in 2024 may have lost coverage in 2022 (EUDR risk) or in 2015 (no EUDR risk).
- Risk classification by zone — RED (high risk), AMBER (medium), GREEN (low) based on accumulated intersections.
How Terralyr Automates Spatial Due Diligence
Terralyr integrates all data sources mentioned in this article into an automated analysis pipeline. The consultant uploads the AOI polygon, selects relevant layers, and obtains the intersection matrix, risk maps, and exportable technical sheet in minutes — analysis that manually takes 2–3 days completed in under an hour.