This study presents the retrieval of near-surface soil moisture data below crop canopies .... ture data retrieval, treating the roughness coefficient hr between.
Canadian Journal of Remote Sensing, 40:15–25, 2014 c CASI Copyright ISSN: 0703-8992 print / 1712-7971 online DOI: 10.1080/07038992.2014.907522
Improving Soil Moisture Data Retrieval From Airborne L-Band Radiometer Data by Considering Spatially Varying Roughness Marion Pause1, Angela Lausch2,*, Matthias Bernhardt3, Jorg Hacker4, and Karsten Schulz5 1
Water & Earth System Science Competence Cluster (WESS), University of Tuebingen, H¨olderlinstraße 12/ 72074 T¨ubingen, Germany 2 Department for Computational Landscape Ecology, Helmholtz-Centre for Environmental Research – UFZ, Permoserstr.15/ 04318 Leipzig, Germany 3 Department of Geography, Ludwig-Maximilians-Universit¨at M¨unchen, Luisenstr.37/ 80333 Munich, Germany 4 Airborne Research Australia, Salisbury South, SA 5106 Australia 5 University of Natural Resources and Life Sciences, Vienna, Institute of Water Management, Hydrology and Hydraulic Engineering, Muthgasse 18/ 1190 Wien, Austria
Abstract. This study presents the retrieval of near-surface soil moisture data below crop canopies (winter rye and winter barley) from airborne L-band radiometer observations using a radiative transfer model at very dry soil moisture conditions (
