UAV based soil salinity assessment of cropland

• Published in: Geoderma Vol. 338; pp. 502 - 512
• Main Authors: Ivushkin, Konstantin, Bartholomeus, Harm, Bregt, Arnold K., Pulatov, Alim, Franceschini, Marston H.D., Kramer, Henk, van Loo, Eibertus N., Jaramillo Roman, Viviana, Finkers, Richard
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.03.2019
• Subjects: cameras; canopy; cropland; crops; data collection; Hyperspectral; labor; LiDAR; normalized difference vegetation index; plant height; prediction; Quinoa; reflectance; regression analysis; Remote sensing; salt stress; scanners; Soil salinity; spatial data; stomatal conductance; temperature; Thermography; UAV; unmanned aerial vehicles; Quinoa; Hyperspectral; LiDAR; UAV; Remote sensing; Soil salinity; Thermography

Increased soil salinity is a significant agricultural problem that decreases yields for common agricultural crops. Its dynamics require cost and labour effective measurement techniques and widely acknowledged methods are not present yet. We investigated the potential of Unmanned Aerial Vehicle (UAV)...