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Spatial distribution of arable and abandoned land across former Soviet Union countries
Spatial distribution of arable and abandoned land across former Soviet Union countries
AbstractKnowledge 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.
- IT University of Copenhagen Denmark
- University of Canterbury New Zealand
- BAUMAN MOSCOW STATE TECHNICAL UNIVERSITY Russian Federation
- UNIVERSIDAD DE GUANAJUATO Mexico
- University of Copenhagen Denmark
Microsoft Academic Graph classification: Land cover Spatial distribution Ecosystem services Agricultural productivity Land use business.industry Abandonment (legal) Environmental resource management Geography Agriculture Arable land business
Dewey Decimal Classification: ddc:330
Statistics and Probability, Data Descriptor, Library and Information Sciences, environmental impact, Education, Ecology, ddc:330, Agriculture, Computer Science Applications, Environmental social sciences, Environmental chemistry, Statistics, Probability and Uncertainty, Climate sciences, Maps as Topic, USSR, Information Systems
Statistics and Probability, Data Descriptor, Library and Information Sciences, environmental impact, Education, Ecology, ddc:330, Agriculture, Computer Science Applications, Environmental social sciences, Environmental chemistry, Statistics, Probability and Uncertainty, Climate sciences, Maps as Topic, USSR, Information Systems
Microsoft Academic Graph classification: Land cover Spatial distribution Ecosystem services Agricultural productivity Land use business.industry Abandonment (legal) Environmental resource management Geography Agriculture Arable land business
Dewey Decimal Classification: ddc:330
1 Research products, page 1 of 1
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