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Land-cover Change in the Caucasus Mountains Since 1987 Based on the Topographic Correction of Multi-temporal Landsat CompositesMountainous regions are changing rapidly across the world due to both land-use change and climate change. Given the importance of mountainous regions for ecosystem services and endemic biodiversity, monitoring these changes is essential. Satellite data provide a great resource to map land-cover change in mountainous regions, however mapping is especially challenging there because topographic complexity affects reflectance. The so called ‘topographic effect’ has been successfully corrected for in case studies of small areas, but a comparison of large-area classifications and land-cover change analyses with and without topographic correction is missing. Here, we performed a long-term land-cover change assessment for a large mountainous region, i.e., the Caucasus Mountains with topographic correction. Our two goals were 1) to examine the effect of topographic correction on land-cover classification for a large mountainous region, and 2) to assess land-cover changes since 1987 across the Caucasus based on the full Landsat archive. Both the complex topography and the history of land-use changes, especially after the collapse of the Soviet Union in 1991, make the Caucasus Mountains an ideal study area to understand topographic effects on large-area land-cover mapping for the last three decades. First, we compared a non-topographically-corrected Landsat classification for 2015 with a classification that was topographically-corrected with an enhanced C-correction for the same year and assessed the accuracy of both. Second, we derived topographically-corrected Landsat classifications for six dates to assess changes in cropland and forest from 1987 to 2015, based on class probabilities and post-classification comparisons. In regard to our first goal, topographic correction improved the overall accuracy of the classification only by 2% (from 79 to 81%), but disagreement rates were as high as 100% in mountainous regions, especially among forest types. In regard to our second goal, we found that cropland loss was the most prevalent change process since 1987. Cropland loss was particularly widespread in Georgia and Armenia until 2000, and in Azerbaijan until 2005. The North Caucasus (the Russian Federation) had more stable cropland over time, most likely due to different land reforms after the collapse of the Soviet Union, and the prevalence of flat landscapes and very fertile soils, which make cultivation easier than in the South Caucasus. Rates of forest change throughout the Caucasus Mountains were surprisingly low, with forest loss and forest gain was most likely due to cropland abandonment and less grazing pressure. Our results highlight both the importance and the feasibility of topographic correction for accurate large-area land-cover classifications in steep terrain.
Document ID
20205005253
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Johanna Buchner
(University of Wisconsin–Madison Madison, Wisconsin, United States)
He Yin
(University of Wisconsin–Madison Madison, Wisconsin, United States)
David Frantz ORCID
(Humboldt University of Berlin Berlin, Germany)
Tobias Kuemmerle
(Humboldt University of Berlin Berlin, Germany)
Elshad Askerov
(Ilia State University Tbilisi, Georgia)
Tamar Bakuradze
(GeoGraphic Tbilisi, Georgia, United States)
Benjamin Bleyhl
(Humboldt University of Berlin Berlin, Germany)
Nodar Elizbarashvili
(Tbilisi State University Tbilisi, Tbilisi, Georgia)
Anna Komarova
(Greenpeace Russia)
Katarzyna E. Lewińska
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Afag Rizayeva
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Hovik Sayadyan
(Armenian National Agrarian University Yerevan, Armenia)
Bin Tan
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Garegin Tepanosyan
(Center for Ecological Noosphere Studies Yerevan, Armenia)
Nugzar Zazanashvili
(Ilia State University Tbilisi, Georgia)
Volker C. Radelof
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Date Acquired
July 28, 2020
Publication Date
July 24, 2020
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 248
Issue Publication Date: October 1, 2020
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80GSFC20C0044
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
External Peer Committee
Keywords
Large-area mapping
Land-surface phenology
Illumination conditions
Cropland change
Forest change
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