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Author: EAL Salas

Hyperspectral Bare Soil Index (HBSI): Mapping Soil Using an Ensemble of Spectral Indices in Machine Learning Environment

By BylineEAL Salas on

Abstract Spectral remote-sensing indices based on visible, NIR, and SWIR wavelengths are useful in predicting spatial patterns of bare soil. However, identifying an effective combination of informative wavelengths or spectralContinue readingHyperspectral Bare Soil Index (HBSI): Mapping Soil Using an Ensemble of Spectral Indices in Machine Learning Environment

Modeling and estimating soil organic carbon using relevant explicatory waveband variables in machine learning environment

By BylineEAL Salas on

ABSTRACT Soil Organic Carbon (SOC) is the most important indicator of soil health and determines long-term crop productivity. Here, we applied the Random Forest regression model to soil hyperspectral dataContinue readingModeling and estimating soil organic carbon using relevant explicatory waveband variables in machine learning environment