Integrating cloud-based workflows in continental-scale cropland extent classification

Keyphrases

• Continental Scale 100%
• Cropland 100%
• Cropland Extent 100%
• Cloud Workflow 100%
• North America 66%
• Google Earth Engine 66%
• Landsat Data 66%
• High-resolution 33%
• Regression Model 33%
• Canada 33%
• Spatial Resolution 33%
• Spatial Distribution 33%
• Spatial Data 33%
• Agriculture 33%
• Overall Accuracy 33%
• Pixel-based 33%
• Agri-food 33%
• Agricultural Food 33%
• Agricultural Land Use 33%
• Government Agencies 33%
• Crop Type 33%
• Scale Assessment 33%
• Annual Crops 33%
• Land Use Policy 33%
• Fusion Method 33%
• Cloud Platform 33%
• United States Department of Agriculture 33%
• Cropland Area 33%
• Cropland Data Layer 33%
• Object Segmentation 33%
• Segmentation Approach 33%
• Random Forest Classification 33%
• Hierarchical Segmentation 33%
• Crop Intensity 33%
• Crop Inventory 33%
• Crop Irrigation 33%
• Large-scale Classification 33%
• Mexican Government 33%

Earth and Planetary Sciences

• Farmland 100%
• North America 22%
• Landsat 22%
• Google Earth Engine 22%
• United States 11%
• Spatial Distribution 11%
• Canada 11%
• Spatial Resolution 11%
• Land Use 11%
• Crop Inventory 11%