UAV based soil salinity assessment of cropland

Geoderma

Volumn 338, Issue , 2019, Pages 502-512

  Ivushkin, Konstantin ^a   Bartholomeus, Harm ^a   Bregt, Arnold K ^a   Pulatov, Alim ^b   Franceschini, Marston H D ^a   Kramer, Henk ^a   van Loo, Eibertus N ^a   Jaramillo Roman, Viviana ^a   Finkers, Richard ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b TASHKENT INSTITUTE OF IRRIGATION AND AGRICULTURAL MECHANIZATION ENGINEERS   (Uzbekistan)

Author keywords

Hyperspectral; LiDAR; Quinoa; Remote sensing; Soil salinity; Thermography; UAV

Indexed keywords

AIRCRAFT DETECTION; ANTENNAS; CAMERAS; CROPS; LINEAR REGRESSION; OPTICAL RADAR; REMOTE SENSING; SOILS; THERMOGRAPHY (TEMPERATURE MEASUREMENT); UNMANNED AERIAL VEHICLES (UAV);

HYPER-SPECTRAL CAMERAS; HYPERSPECTRAL; LIGHT DETECTION AND RANGING; MEASUREMENT TECHNIQUES; MULTIPLE LINEAR REGRESSION MODELS; NORMALISED DIFFERENCE VEGETATION INDEX; QUINOA; SOIL SALINITY;

VEGETATION;

AGRICULTURAL LAND; ASSESSMENT METHOD; CANOPY; CROP PLANT; LIDAR; NDVI; PIXEL; REMOTE SENSING; SALINITY; SATELLITE SENSOR; STOMATAL CONDUCTANCE; UNMANNED VEHICLE; VEGETATION COVER;

CHENOPODIUM QUINOA;

EID: 85054055681     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2018.09.046     Document Type: Article

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