5. Conclusions
Current review focuses on development during past time on RS practices
in VNIR-SWIR regions designed for estimation of soil organic carbon
(SOC) content. From this review paper, we summarized that 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. Numerous studies have been conducted regarding development in
machine learning as well as exploring effectiveness of soil spectroscopy
application for studying soil characteristics. However, some parameters
like roughness, soil wetness, vegetation cover etc. affect satellite
imagery to a great extent. For this reason, a combination of both remote
as well as proximal sensing technologies should be taken into
consideration for establishing low price as well as effective monitoring
solutions having high spatial resolution.