Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/177389
Authors: 
Lesiv, Myroslava
Schepaschenko, Dmitry
Moltchanova, Elena
Bun, Rostyslav
Dürauer, Martina
Prishchepov, Alexander V.
Schierhorn, Florian
Estel, Stephan
Kuemmerle, Tobias
Alcántara, Camilo
Kussul, Natalia
Shchepashchenko, Maria
Kutovaya, Olga
Martynenko, Olga
Karminov, Viktor
Shvidenko, Anatoly
Havlik, Petr
Kraxner, Florian
See, Linda
Fritz, Steffen
Year of Publication: 
2018
Citation: 
[Journal:] Scientific Data [ISSN:] 2052-4463 [Volume:] 5 [Year:] 2018 [Issue:] (Article no. 180056) [Pages:] 1-12
Abstract: 
Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and abandoned land for 2010 at a 10 arc-second resolution. We have fused together existing land cover and land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery. We have also collected an independent validation data set to assess the map accuracy. The overall accuracies of the map by region and country, i.e. Caucasus, Belarus, Kazakhstan, Republic of Moldova, Russian Federation and Ukraine, are 90±2%, 84±2%, 92±1%, 78±3%, 95±1%, 83±2%, respectively. This new product can be used for numerous applications including the modelling of biogeochemical cycles, land-use modelling, the assessment of trade-offs between ecosystem services and land-use potentials (e.g., agricultural production), among others.
Subjects: 
agriculture
climate sciences
ecology
environmental impact
environmental social sciences
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
Document Version: 
Published Version
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