Journalartikel

Estimating Vegetation Cover from High-Resolution Satellite Data to Assess Grassland Degradation in the Georgian Caucasus


AutorenlisteWiesmair, M; Feilhauer, H; Magiera, A; Otte, A; Waldhardt, R

Jahr der Veröffentlichung2016

Seiten56-65

ZeitschriftMountain Research and Development

Bandnummer36

Heftnummer1

ISSN0276-4741

eISSN1994-7151

Open Access StatusGold

DOI Linkhttps://doi.org/10.1659/MRD-JOURNAL-D-15-00064.1

VerlagInternational Mountain Society (IMS)


Abstract

In the Georgian Caucasus, unregulated grazing has damaged grassland vegetation cover and caused erosion. Methods for monitoring and control of affected territories are urgently needed. Focusing on the high-montane and subalpine grasslands of the upper Aragvi Valley, we sampled grassland for soil, rock, and vegetation cover to test the applicability of a site-specific remote-sensing approach to observing grassland degradation. We used random-forest regression to separately estimate vegetation cover from 2 vegetation indices, the Normalized Difference Vegetation Index (NDVI) and the Modified Soil Adjusted Vegetation Index (MSAVI(2)), derived from multispectral WorldView-2 data (1.8 m). The good model fit of R-2 = 0.79 indicates the great potential of a remote-sensing approach for the observation of grassland cover. We used the modeled relationship to produce a vegetation cover map, which showed large areas of grassland degradation.




Zitierstile

Harvard-ZitierstilWiesmair, M., Feilhauer, H., Magiera, A., Otte, A. and Waldhardt, R. (2016) Estimating Vegetation Cover from High-Resolution Satellite Data to Assess Grassland Degradation in the Georgian Caucasus, Mountain Research and Development, 36(1), pp. 56-65. https://doi.org/10.1659/MRD-JOURNAL-D-15-00064.1

APA-ZitierstilWiesmair, M., Feilhauer, H., Magiera, A., Otte, A., & Waldhardt, R. (2016). Estimating Vegetation Cover from High-Resolution Satellite Data to Assess Grassland Degradation in the Georgian Caucasus. Mountain Research and Development. 36(1), 56-65. https://doi.org/10.1659/MRD-JOURNAL-D-15-00064.1


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