Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing - Wang, Sheng; Guan, Kaiyu; Zhang, Chenhui; Lee, DoKyoung; Margenot, Andrew J.; Ge, Yufeng; Peng, Jian; Zhou, Wang; Zhou, Qu; Huang, Yizhi (Remote sensing of environment, 2022)
Keywords: Airborne sensing; Algorithms; Artificial neural networks; Atmospheric models; Carbon; Carbon cycle; cost effectiveness; Ecosystem services; ecosystems; environment; Environmental monitoring; ENVIRONMENTAL SCIENCES; Geology; Hyperspectral reflectance; Infrared signatures; Laboratories; Leaf area; Learning algorithms; Learning theory; Least squares method; Libraries; Long short-term memory; Machine learning; Neural networks; Noise levels; Organic carbon; Organic soils; Performance prediction; plant residues; Radiative transfer; Radiative transfer modeling; Reflectance; Remote sensing; Satellite data; Satellites; SBG; Short wave radiation; Soil moisture; Soil organic carbon; soil water; Spectra; spectral analysis; Spectral signatures; Spectroscopy; Spectrum analysis; Vegetation; Spectroscopy; Hyperspectral reflectance; Machine learning; Radiative transfer modeling; Long short-term memory; SBG; Soil organic carbon