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Mapping ecosystem types and land cover types in the Seychelles granitic islands, using Earth Engine and Sentinel-2

Domaine:

geospatialenvironment and energy

Type de record:

dataset
Créateur:
Senterre, Bruno
Éditeur:
Zenodo
Hôte:avatar
We share here maps produced using Earth Engine: code.earthengine.google.com The maps include a land cover classification based on Sentinel-2, at 10m resolution, using an Object-Based Image Analysis approach, for the Seychelles granitic islands. Based on the land cover, landform (modeled using TauDEM), altitude and expert knowledge, we then derived a model of ecosystem types, with 3 maps: current distribution, potential distribution and prehuman distribution. A report exists (18th May 2022) that describes in detail the methodology, and it is being used for the preparation of a publication. The maps uploaded here are in raster format (geotif), crs=4326, and are accompanied by QGIS legend files (.qml), so they should load in QGIS with their legend automatically. This is my first attempt at using Zenodo. So far these data were only available n Earth Engine, which has limited the access for practical conservationists in Seychelles. The maps were done in 2021, and a report describing the methodology and discussing the results was produced in December 2021, and finalized on 18th May 2022. This work has been funded in part by the Government of Seychelles (UNDP-GEF project titled "A Ridge to Reef Approach for the Integrated Management of Marine, Coastal and Terrestrial Ecosystems in the Seychelles") and in part by Global Biodiversity Information Facility (PCA project titled "Mainstreaming recent species and ecosystem distribution data into Seychelles Key Biodiversity Areas assessments", BID-AF2020-094-NAC).

Visit

doi.orgzenodo.org

Tasks

computer visionimage classification

Tags

ecosystemvegetation

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcodeOpen Accessinfo:eu-repo/semantics/openAccess

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