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.