Revealing the distribution and change of abandoned cropland in Ukraine based on dual period change detection method
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View abstract on PubMed
Summary
This summary is machine-generated.Ukraine
Area Of Science
- Agricultural remote sensing
- Geospatial analysis
- Environmental monitoring
Background
- The 2022 Russia-Ukraine conflict caused widespread cropland abandonment.
- Existing detection methods struggle to differentiate types of abandoned land.
- Accurate mapping is crucial for agricultural assessment and aid in conflict zones.
Purpose Of The Study
- To develop and validate a method for distinguishing different types of abandoned cropland in Ukraine.
- To map the spatial distribution and temporal changes of unused and unattended cropland.
- To support agricultural assessments and international assistance efforts.
Main Methods
- Utilized time-series NDVI data to model crop curves pixel-by-pixel.
- Developed discrimination rules based on crop curves to identify unused and unattended cropland.
- Validated results using high-resolution remote sensing imagery interpretation.
Main Results
- Achieved 83-96% accuracy in abandoned cropland detection.
- Unused cropland in 2022 was double the pre-conflict average.
- Significant increases in unattended cropland observed in 2023, particularly in eastern Ukraine.
Conclusions
- The Dual-period Change Detection method effectively identifies and distinguishes types of abandoned cropland.
- Abandoned cropland, especially unattended types, shows significant spatial clustering in conflict-affected regions.
- Findings provide critical data for agricultural recovery and humanitarian aid planning.
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