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.