Data · dataset · 2026
Dataset for: Collection of land use thematic maps for the Peru multifunctional landscape
Listed in International Potato Center
This comprehensive geospatial dataset collection integrates multi-source, multi-temporal Earth observation data and thematic maps to support multifunctional landscape analysis and monitoring in the Pucallpa–Aguaytía agroforestry corridor, Ucayali Region, Perú.
Description
Developed within the framework of the CGIAR Multifunctional Landscapes Science Program, the collection encompasses 74 spatial layers organized across thematic categories: hydrological features, land cover dynamics, climate variables, ecosystem health indicators, human footprint measures, protected areas, physiographic characteristics, forests, biomass, carbon stocks, and location reference data.
The dataset employs a hierarchical approach to landscape characterization, combining fine-scale observations (30-meter resolution) with broader regional context. Temporal coverage spans four decades (1985-2025), enabling retrospective analysis of landscape transformation and current condition assessment. Core components include: (1) annual land cover classifications from MapBiomas Peru tracking land use change at five-year intervals; (2) climate variable analysis comparing recent observations (2024) against a 30-year baseline period (1981-2010) for evapotranspiration, temperature, and precipitation; (3) ecosystem integrity assessment using a composite index that integrates functional productivity (NPP), compositional diversity, and structural connectivity; (4) forest dynamics monitoring through Hansen Global Forest Change and GLAD datasets documenting deforestation patterns from 2000-2024; and (5) atmospheric pollution measurements from Sentinel-5P capturing carbon monoxide, nitrogen dioxide, ozone, and sulfur dioxide concentrations.
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Data integration follows standardized geospatial protocols with consistent geographic coverage focused on the Pucallpa–Aguaytía agroforestry corridor and surrounding buffer area, enabling cross-dataset analysis and multi-criteria evaluation. Raster datasets predominantly employ 30-90 meter spatial resolutions appropriate for landscape-scale assessment, while vector datasets maintain source-appropriate scales ranging from local to national coverage.
The collection draws from authoritative international sources including NASA, ESA Copernicus, MODIS, WWF, USGS, TerraClimate and national Peruvian institutions (MINAM, INEI, IBC, and SENAMHI).
Links
Where it is published
- Dataverse dataset page data.cipotato.org/dataset.xhtml?persistentId=doi%3A10.21223%2FP3%2FZPHD7W ↗
landing page · from data cipotato org
- DOI doi.org/10.21223/p3/zphd7w ↗
DOI / persistent id · from data cipotato org
Catalogue records · 1
- Dataverse API data.cipotato.org/api/datasets/:persistentId/?persistentId=doi%3A10.21223%2FP3%2… ↗
metadata API · from data cipotato org
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Climate · Earth & Environmental Science
- Inferred from text
- Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| International Potato Center | doi:10.21223/P3/ZPHD7W | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · data cipotato org | connector:data_cipotato_org@1.0.0 | /subjects |
| concepts[modality].local:modality:remote-sensing | enrichment · data cipotato org | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[subject].local:topic:climate | mapping · data cipotato org | vocabulary-mapper@1.0.0 | keywords['climate'] |
| created_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| description | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /description |
| publication_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| title | source · data cipotato org | connector:data_cipotato_org@1.0.0 | /name |
| updated_date | source · data cipotato org | connector:data_cipotato_org@1.0.0 | |
| version_label | source · data cipotato org | connector:data_cipotato_org@1.0.0 |