For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
SAVI was originally developed to reduce soil background influence in sparse vegetation by introducing a soil adjustment factor, $L$, in: $$ SAVI = \frac{(NIR - Red)(1 ...
• To evaluate the applicability of remote sensing and meteorological variables for Yield prediction. • A Novel Empirical approach was proposed based on MOD13Q1-derived products NDVI, VCI, and ...
Abstract: Artificial Neural Networks (ANNs) are a widely used and powerful tool for modeling and predicting various processes across society, industry, and nature. In recent decades, ANNs have found ...
Abstract: Obtaining the NDVI (Normalized Difference Vegetation Index) reflectance vegetation index from a single photo is of key importance when studying very small areas and is important for the ...
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