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A Review on Soil Organic Carbon Estimation via Remote Sensing Approaches
University of Sahiwal

Corresponding Author:[email protected]

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Current review focuses on developments during past time on RS practices in VNIR-SWIR regions designed for estimation of soil organic carbon (SOC) content. Soil reflectance spectroscopy finds extensive applications such as sensors set-up on satellites, aircrafts as well as Unmanned Aerial System (UAS). This review briefly discusses research as well as studies on soil organic carbon analysis by employing RS practices. It is detected that prediction correctness lessens from Unmanned Aerial Systems (UASs) towards satellite platforms, although, machine learning help in superior production of calibration models. For coping with numerous challenges related to SOC observation of large region, hyperspectral sensors set-up on forthcoming satellite missions, airplanes as well as Unmanned Aerial System (UAS) provide special potential. Additionally, merits as well as demerits of individual approach are also briefly discussed here.