REFINEMENT OF CROPLAND DATA LAYER USING MACHINE LEARNING

8 citations as recorded by crossref.

1. Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold K. Tran et al.
2. Integrating image filters and confidence thresholds to improve cropland data layer for deep learning–based cropland segmentation R. Maleki et al.
3. Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer C. Zhang et al.
4. Remote Sensing of Urban Poverty and Gentrification L. Lin et al.
5. Preserving local biodiversity through crop diversification E. Strobl
6. HarvestGRID: high-resolution harvested crop areas of the United States from 1981 to 2019 G. Lamsal & L. Marston
7. Refinement of Cropland Data Layer with Effective Confidence Layer Interval and Image Filtering R. Maleki et al.
8. AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine C. Zhang et al.