100453 High-Resolution Mapping of Surface Soil Moisture with Hyperspectral Line-Scan Imaging.

Poster Number 348-104

See more from this Division: SSSA Division: Soil Physics and Hydrology
See more from this Session: Remote Sensing of Land Surface and Vadose Zone Hydrologic Processes Poster

Tuesday, November 8, 2016
Phoenix Convention Center North, Exhibit Hall CDE

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
Poster Presentation
  • SSSA_Poster_01_Ebrahim_2016_Final.pdf (3.3 MB)
  • Abstract:
    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.

    See more from this Division: SSSA Division: Soil Physics and Hydrology
    See more from this Session: Remote Sensing of Land Surface and Vadose Zone Hydrologic Processes Poster