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Framework for agricultural performance assessment based on MODIS multitemporal data
We present a hierarchical classification framework for automated detection and
mapping of spatial patterns of agricultural performance using satellite-based Earth observation
data exemplified for the Aral Sea Basin (ASB) ...
Annual Cropland Mapping Using Reference Landsat Time Series—A Case Study in Central Asia
Mapping the spatial and temporal dynamics of cropland is an important prerequisite for regular crop condition monitoring, management of land and water resources, or tracing and understanding the environmental impacts of ...
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series
Cropland abandonment is globally widespread and has strong repercussions for regional
food security and the environment. Statistics suggest that one of the hotspots of abandoned cropland
is located in the drylands of the ...
Regional-scale monitoring of cropland intensity and productivity with multi-source satellite image time series
In the context of growing populations and limited resources, the sustainable intensification of agricultural production is of great importance to achieve food security. As the need to support management at a range of spatial ...