Evaluation of survey and remote sensing data products used to estimate land use change in the United States: Evolving issues and emerging opportunities

Keyphrases

• United States 100%
• Land Use Change 100%
• Remote Sensing Data 100%
• Land Use Land Cover 100%
• Remote Sensing 40%
• Land Change 40%
• Biofuel Production 20%
• Greenhouse Gas Emissions 20%
• Uncertainty Quantification 20%
• Machine Learning 20%
• Uncertainty Sources 20%
• Land Use 20%
• Character Strengths 20%
• Emerging Techniques 20%
• Fusion Learning 20%
• Limiting Current 20%
• Change Study 20%
• Blended Approach 20%
• Data Quantification 20%
• Area Estimates 20%
• Ground Truth Data 20%
• Renewable Fuel Standard 20%
• Agricultural Expansion 20%
• Cropland Data Layer 20%
• Quality Reference 20%
• National Land Cover Database 20%
• National Resources Inventory 20%
• National Wetlands Inventory 20%
• June Area Survey 20%
• Forest Inventory 20%
• Agricultural Land Expansion 20%
• Contiguous US 20%
• Census of Agriculture 20%
• Current Land Use 20%
• Non-arable Land 20%
• Multi-temporal Imagery 20%
• Farm Survey 20%
• Report Source 20%

Earth and Planetary Sciences

• United States 100%
• Land Use Change 100%
• Data Product 100%
• Land Cover 100%
• Land Use 100%
• Remote Sensing 100%
• Farmland 50%
• United States of America 33%
• Greenhouse Gas Emission 16%
• Multisensor Fusion 16%
• Machine Learning 16%
• Uncertainty Modeling 16%
• Forest Inventory 16%
• Biofuel 16%