HIGHLIGHTS:
- Soil reflectance spectroscopy used for estimation of soil organic
carbon content.
- Visible near infrared-shortwave infrared sensors based on
energy-matter interaction.
- Demand of multivariate statistical procedures to study soil
characteristics.
ABSTRACT
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.
Keywords: Remote Sensing (RS), Soil Organic Carbon (SOC),
Visible near infrared-shortwave infrared (VNIR-SWIR), Spaceborne,
Airborne, Unmanned Aerial System (UAS).