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

Authors: Senterre, Bruno;

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

Abstract

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). In version 1.1, I have added the layer Senterre_2021_SeyInner_Naturalness.tif

We share here maps produced using Earth Engine: https://code.earthengine.google.com/?accept_repo=users/bsenterre/gis 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.

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Keywords

ecosystem, vegetation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Italian National Biodiversity Future Center