3.3. Unmanned Aerial Systems (UASs)
For variety of environmental as well as climate variable estimation
founded on UAS applications development was made (McGwire, Weltz et al.
2012), (Li, Niu et al. 2016), (Capolupo, Kooistra et al. 2015) but these
platforms are not employed for soil environment observing. As far as
there is just 1 finding for SOC estimation (Aldana-Jague, Heckrath et
al. 2016) by employing multispectral Mini-MCA6 from Tetracam Inc.
(450-1050 nm) (Chatsworth, CA, USA) on-board a UAS platform on the way
to assess its effectiveness for SOC predictions. Optimum conditions for
flight compaign were cloudless sky, little vegetation shelter, as well
as dehydrated soil. Suggested procedure has excellent power for SOC
monitoring employing an algorithm producing mean SVM coefficient of
determination of 0.95 as well as a RMSE of 0.21 % in cross
authentication in comparison with dry combustion laboratory procedures.
Table 3 showed SOC estimation study via UAS.