Journal
ADVANCES IN WATER RESOURCES
Volume 31, Issue 11, Pages 1444-1455Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2008.01.018
Keywords
Soil moisture; Airborne experiment; L-band radiometry; Multi-spectral; Synergy; Calibration/validation; Downscaling; Assimilation
Categories
Funding
- Australian Research Council [LE0453434, LE0560930, DP0557543, DP0343778]
- collaboration of a large number of scientists from throughout Australia, United States and Europe
- CRC for Catchment Hydrology
- Australian Research Council [LE0453434, LE0560930] Funding Source: Australian Research Council
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The National Airborne Field Experiment 2006 (NAFE'06) was conducted during a three week period of November 2006 in the Murrumbidgee River catchment, located in southeastern Australia. One objective of NAFE'06 was to explore the suitability of the area for SMOS (Soil Moisture and Ocean Salinity) calibration/validation and develop downscaling and assimilation techniques for when SMOS does come on line. Airborne L-band brightness temperature was mapped at 1 km resolution 11 times (every 1-3 days) over a 40 by 55 km area in the Yanco region and 3 times over a 40 by 50 km area that includes Kyeamba Creek catchment. Moreover, multi-resolution, multi-angle and multi-spectral airborne data including surface temperature, surface reflectance (green, read and near infrared), lidar data and aerial photos were acquired over selected areas to develop downscaling algorithms and test multi-angle and multi-spectral retrieval approaches. The near-surface soil moisture was measured extensively on the ground in eight sampling areas concurrently with aircraft flights, and the soil moisture profile was continuously monitored at 41 sites. Preliminary analyses indicate that (i) the uncertainty of a single ground measurement was typically less than 5% vol. (ii) the spatial variability of ground measurements at I km resolution was up to 10% vol. and (iii) the validation of I kin resolution L-band data is facilitated by selecting pixels with a spatial soil moisture variability lower than the point-scale uncertainty. The sensitivity of passive microwave and thermal data is also compared at I kin resolution to illustrate the multi-spectral synergy for soil moisture monitoring at improved accuracy and resolution. The data described in this paper are available at www.nafe.unimelb.edu.au. (C) 2008 Elsevier Ltd. All rights reserved.
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