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Preprints
https://doi.org/10.5194/essd-2020-77
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-77
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  11 May 2020

11 May 2020

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A revised version of this preprint is currently under review for the journal ESSD.

Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa

Zoltan Szantoi1,2, Andreas Brink1, Andrea Lupi1, Claudio Mannone3, and Gabriel Jaffrain4 Zoltan Szantoi et al.
  • 1European Commission, Joint Research Centre, Directorate for Sustainable Resources, 21027 Ispra, Italy
  • 2Department of Geography and Environmental Studies, Stellenbosch University, Stellenbosch 7602, South Africa
  • 3e-Geos - an ASI / Telespazio Company, Contrada Terlecchie, 75100, Matera, Italy
  • 4IGN FI - Ingénierie Géographique Numérique Française à l'International, 75012 Paris, France

Abstract. Threats to biodiversity pose an enormous challenge for Africa. Mounting social and economic demands on natural resources increasingly threaten key areas for conservation. Effective protection of sites of strategic conservation importance requires timely and highly detailed geospatial monitoring. Larger ecological zones and wildlife corridors warrant monitoring as well, as these areas have an even higher degree of pressure and habitat loss. To address this, a satellite imagery based monitoring workflow to cover at-risk areas at various details was developed. During the program's first phase, a total of 560,442 km2 area in Sub-Saharan Africa was covered, from which 153,665 km2 were mapped with 8 land cover classes while 406,776 km2 were mapped with up to 32 classes. Satellite imagery was used to generate dense time series data from which thematic land cover maps were derived. Each map and change map were fully verified and validated by an independent team to achieve our strict data quality requirements. The independent validation datasets for each KLCs are also described and presented here (The complete dataset available at Szantoi et al., 2020B https://doi.org/10.1594/PANGAEA.914261, and a demonstration dataset at Szantoi et al., 2020C https://doi.pangaea.de/10.1594/PANGAEA.915849).

Zoltan Szantoi et al.

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Zoltan Szantoi et al.

Data sets

Land Cover and Change Thematic and Validation Datasets for Sub-Saharan Z. Szantoi, A. Brink, A. Lupi, C. Mammone, and G. Jaffrain https://doi.org/10.1594/PANGAEA.914261

Greater Virunga Key Landscape for Conservation Land Cover and Validation Datasets (2015) Z. Szantoi, A. Brink, A. Lupi, C. Mammone, and G. Jaffrain https://doi.pangaea.de/10.1594/PANGAEA.915849

Zoltan Szantoi et al.

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Short summary
Larger ecological zones and wildlife corridors in Sub-Saharan Africa require monitoring, as social and economic demands put high pressure on them. Copernicus' Hot-Spot Monitoring service developed a satellite imagery based monitoring workflow to map such areas. Here, we present a total of 560,442 km2 area from which 153,665 km2 were mapped with 8 land cover classes while 406,776km2 were mapped with up to 32 classes. Besides presenting the thematic products, we also present our validation datasets.
Larger ecological zones and wildlife corridors in Sub-Saharan Africa require monitoring, as...
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