TY - JOUR
T1 - Comparison of ground-based and remotely-sensed surface soil moisture estimates over complex terrain during SMEX04
AU - Vivoni, Enrique R.
AU - Gebremichael, Mekonnen
AU - Watts, Christopher J.
AU - Bindlish, Rajat
AU - Jackson, Thomas J.
N1 - Funding Information:
We would like to acknowledge funding from NASA Terrestrial Hydrology and AMSR-E Validation Programs and the NOAA North American Monsoon Experiment. We would like to thank the SMEX04 participants who conducted the field sampling and aircraft remote sensing. We also thank three anonymous reviewers whose comments helped improve the manuscript.
PY - 2008/2/15
Y1 - 2008/2/15
N2 - Comparisons to ground-based surface soil moisture estimates are necessary to evaluate the capability of remote sensors to determine soil moisture and its spatiotemporal variability. Soil moisture can be especially variable in regions of complex terrain which exhibit large variations in vegetation, soil properties and hydrologic conditions. The objective of this study is to evaluate the spatiotemporal variability of soil moisture in a mountainous basin in northwestern Mexico. Soil moisture estimates from ground sampling over a topographic transect and high resolution retrievals from the Polarimetric Scanning Radiometer are compared during a two week period in August 2004 as part of the Soil Moisture Experiment 2004. Results indicate that the soil moisture estimates exhibit similar variability with mean water content. Statistical analysis, however, reveals clear differences in soil moisture in the basin, in particular for wet periods and high elevations. Despite these differences, the temporal persistence of soil moisture from the estimates agrees well and indicates locations that capture the basin-averaged conditions. Furthermore, the spatiotemporal soil moisture characteristics from the two products are linked to terrain attributes. As a result, a hypsometric technique is shown to improve comparisons between basin-averaged values derived from ground data and remote sensing, as compared to arithmetic averaging. To our knowledge, this study is the first attempt to evaluate PSR/CX retrievals with respect to ground observations over a region of high topographic and vegetation variability using statistical, time-stability and terrain analysis techniques.
AB - Comparisons to ground-based surface soil moisture estimates are necessary to evaluate the capability of remote sensors to determine soil moisture and its spatiotemporal variability. Soil moisture can be especially variable in regions of complex terrain which exhibit large variations in vegetation, soil properties and hydrologic conditions. The objective of this study is to evaluate the spatiotemporal variability of soil moisture in a mountainous basin in northwestern Mexico. Soil moisture estimates from ground sampling over a topographic transect and high resolution retrievals from the Polarimetric Scanning Radiometer are compared during a two week period in August 2004 as part of the Soil Moisture Experiment 2004. Results indicate that the soil moisture estimates exhibit similar variability with mean water content. Statistical analysis, however, reveals clear differences in soil moisture in the basin, in particular for wet periods and high elevations. Despite these differences, the temporal persistence of soil moisture from the estimates agrees well and indicates locations that capture the basin-averaged conditions. Furthermore, the spatiotemporal soil moisture characteristics from the two products are linked to terrain attributes. As a result, a hypsometric technique is shown to improve comparisons between basin-averaged values derived from ground data and remote sensing, as compared to arithmetic averaging. To our knowledge, this study is the first attempt to evaluate PSR/CX retrievals with respect to ground observations over a region of high topographic and vegetation variability using statistical, time-stability and terrain analysis techniques.
KW - Aircraft remote sensing
KW - North American monsoon
KW - Semiarid hydrology
KW - Soil Moisture Experiment 2004
KW - Topographic control
KW - Watershed soil moisture variability
UR - http://www.scopus.com/inward/record.url?scp=38049056190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38049056190&partnerID=8YFLogxK
U2 - 10.1016/j.rse.2006.10.028
DO - 10.1016/j.rse.2006.10.028
M3 - Article
AN - SCOPUS:38049056190
SN - 0034-4257
VL - 112
SP - 314
EP - 325
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
IS - 2
ER -