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Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data

Shafeian, Elham; Fassnacht, Fabian Ewald ORCID iD icon; Latifi, Hooman


Woody canopy cover is an essential variable to characterize and monitor vegetation health, carbon accumulation and land–atmosphere exchange processes. Remote sensing-based global woody and forest cover maps are available, yet with varying qualities. In arid and semi-arid areas, existing global products often underestimate the presence of woody cover due to the sparse woody cover and bright soil background. Case studies on smaller regions have shown that a combination of collected field data and medium-to-high resolution free satellite data (e.g., Landsat / Sentinel-2) can provide woody cover estimates with practically-sufficient accuracies. However, most earlier studies focused on comparably small regions and relied on costly field data. Here, we present a fully remote sensing-based work-flow to derive woody cover estimates over an area covering more than 0.5 million km2. The work-flow is showcased over the Zagros Mountains, a semi-arid mountain range covering western Iran, the northeast of Iraq and some smaller fraction of southeast Turkey. We use the Google Earth Engine to create homogeneous Sentinel-2 mosaics of the region using data from several years. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000141716
Veröffentlicht am 13.01.2022
DOI: 10.1016/j.jag.2021.102621
Zitationen: 2
Web of Science
Zitationen: 2
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0303-2434
KITopen-ID: 1000141716
Erschienen in International Journal of Applied Earth Observation and Geoinformation
Verlag Elsevier
Band 105
Seiten Art.-Nr.: 102621
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Nachgewiesen in Dimensions
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