High resolution native forest map of Eastern Arc Mountains

This study aims to develop more accurate method for mapping closed canopy evergreen natural forest (CCEF) of the Eastern Arc Mountains (EAM) ecoregion in Tanzania and Kenya, to update the knowledge on its spatial extent, level of fragmentation and conservation status. We tested 1023 model possibilities stemming from combination of Sentinel-1(S1) and Sentinel-2(S2) satellite imagery, spatial texture of S1 and S2, seasonality derived from Landsat-8 time series and topographic information, using random forest modelling approach. The CCEF model has moderate accuracy measured in True Skill Statistic (0.57), and it clearly outperforms other similar products from the region. Based on this model, there are about 296000 ha of Eastern Arc Forests (EAF) left, which is 16-27% less than estimated by previous products. Furthermore, acknowledging small forest fragments (1-10 ha) implies that the EAFs are more fragmented than previously considered. The generated CCEF model should be used to design updates and more informed and detailed conservation allocation plans, to balance this situation

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Cite this as

Koskikala, Joni, Kukkonen, Markus, Käyhkö, Niina (2020). Dataset: High resolution native forest map of Eastern Arc Mountains. https://doi.org/10.1594/PANGAEA.914420

DOI retrieved: 2020

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.914420
Author Koskikala, Joni
Given Name Joni
Family Name Koskikala
More Authors
Kukkonen, Markus
Käyhkö, Niina
Source Creation 2020
Publication Year 2020
Subject Areas
Name: LandSurface

Related Identifiers
Title: Mapping Natural Forest Remnants with Multi-Source and Multi-Temporal Remote Sensing Data for More Informed Management of Global Biodiversity Hotspots
Identifier: https://doi.org/10.3390/rs12091429
Type: DOI
Relation: References
Year: 2020
Source: Remote Sensing
Authors: Koskikala Joni , Kukkonen Markus , Käyhkö Niina .