Satellite Imaging Spectroscopy for Mapping Crop Residue Spatial Distribution

In a study published in the European Journal of Remote Sensing, researchers proposed a two-step classification method for mapping non-photosynthetic vegetation or crop residue using spectroscopic and machine learning techniques from the spaceborne imaging spectroscopy PRISMA dataset.

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Laura Thomson ,Loredana Pompilio ,Owais Ali ,Monica Pepe ,Luigi Ranghetti ,Owais Alisep ,Francesco Nutini Mirco Boschetti , ,European Journal ,Remote Sensing ,Photosynthetic Vegetation ,Crop Residue ,Earth Observation ,Machine Learning Techniques ,Mapping Crop ,Exponential Gaussian Optimization ,Francesco Nutini ,Mirco Boschetti ,