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Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
J ** soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas
High-precision digital soil organic carbon (SOC) stocks map** is very important for
agricultural production management and global carbon cycle. The spatial heterogeneity of …
agricultural production management and global carbon cycle. The spatial heterogeneity of …
[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
Comparing laboratory and airborne hyperspectral data for the estimation and map** of topsoil organic carbon: Feature selection coupled with random forest
Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for
further understanding of the global carbon cycle and sustainable management of soil …
further understanding of the global carbon cycle and sustainable management of soil …
Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination …
Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food
production. This study aimed to explore the potential of airborne hyperspectral image to …
production. This study aimed to explore the potential of airborne hyperspectral image to …