Estimation of Bare Soil Moisture from Remote Sensing Indices in the 0.4–2.5 mm Spectral Range

Abstract Soil moisture content (SMC) is an important element of the environment, influencing water availability for plants and atmospheric parameters, its monitoring predicting floods or droughts weather climate modeling. Optical methods measuring soil use spectral reflection analysis in 350–2500 nm range. Remote sensing considered to be effective tool parameters over large areas more cost than situ measurements. The aim this study was assess SMC bare on basis hyperspectral data from ASD FieldSpec 4 Hi-Res field spectrometer by determining remote indices visualization based multispectral obtained UAVs. measurements were validated humidity with HH2 Moisture Meter ML3 ThetaProbe Sensor. A strong correlation between terrestrial observed 7 out 11 selected indexes determination coefficient R 2 values ranged 67%– 87%. best results NINSON index, 87%, NSMI index (83.5%) NINSOL (81.7%). We conclude that both are valuable, providing good temporal spatial resolution distribution local areas, which forecasting changes climate.