Ontology highlight
ABSTRACT:
SUBMITTER: Lesiv M
PROVIDER: S-EPMC5881411 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature

Scientific data 20180403
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 ...[more]