Ebrahim Babaeian, Department of Soil, Water and Environmental Science, University of Arizona, Tucson, AZ, Morteza Sadeghi, Department of Plants, Soils and Climate, Utah State University, Logan, UT, Scott B. Jones, 4820 Old Main Hill, Utah State University, Logan, UT and Markus Tuller, Soil, Water and Environmental Science, University of Arizona, Tucson, AZ
Time-lapse hyperspectral imaging provides an exciting new avenue for high-resolution mapping of Darcy scale surface moisture redistribution processes with the potential for estimating soil hydraulic properties. In this preliminary study we employed a benchtop hyperspectral line-scan imaging system to generate high resolution surface reflectance maps during evaporation and moisture redistribution experiments. A recently developed physically-based model for near-surface soil moisture predictions from shortwave infrared reflectance was applied to generate time-lapse surface moisture distribution maps. The dynamic 2-D surface moisture information was used to estimate evaporation rates and hydraulic conductivity for source soils covering a wide textural range. Preliminary results will be presented and the prospective applicability of the proposed method will be discussed.