Detecting spatial variability of paddy rice yield by combining the DNDC model with high resolution satellite images

Keyphrases

• Spatial Variability 100%
• High Resolution Satellite Images 100%
• DeNitrification-DeComposition Model 100%
• Paddy Rice Yield 100%
• Environmental Factors 66%
• Soil Database 66%
• Vegetation Index 66%
• Model Determination 66%
• Agreement Index 66%
• FORMOSAT-2 66%
• Denitrification-Decomposition 66%
• Higher Coefficients 66%
• China 33%
• Sustainable Agriculture 33%
• Cropping System 33%
• Food Security 33%
• Yield Estimation 33%
• Transferability 33%
• Human Activities 33%
• Raster 33%
• Food-based 33%
• Index-based 33%
• Satellite Imagery 33%
• Northeast China 33%
• National Food 33%
• Agronomic Management 33%
• Specific Mode 33%
• Rice Yield 33%
• Agroecosystem Model 33%
• Sanjiang Plain 33%
• Python Programming Language 33%
• Crop Information 33%
• Rice Area 33%
• International Food Trade 33%
• Area Map 33%
• Trade Strategy 33%

Earth and Planetary Sciences

• Satellite Image 100%
• Denitrification 100%
• Vegetation Index 40%
• FORMOSAT 40%
• China 40%
• Satellite Imagery 20%
• Food Security 20%
• Alternative Agriculture 20%
• Language Programming 20%