Litcius/Paper detail

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

Sheng Wang, Kaiyu Guan, Chenhui Zhang, DoKyoung Lee, Andrew J. Margenot, Yufeng Ge, Jian Peng, Wang Zhou, Qu Zhou, Yizhi Huang

2022Remote Sensing of Environment223 citationsDOIOpen Access PDF

Topics & Concepts

Hyperspectral imagingEnvironmental scienceRemote sensingSoil carbonMean squared errorAtmospheric radiative transfer codesSoil waterImaging spectrometerPartial least squares regressionCoefficient of determinationSoil scienceRadiative transferComputer scienceMachine learningGeologyMathematicsSpectrometerStatisticsPhysicsQuantum mechanicsSoil Geostatistics and MappingGeochemistry and Geologic MappingRemote Sensing in Agriculture
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing | Litcius