Appropriate scale of soil moisture retrieval from high resolution radar imagery for bare and minimally vegetated soils

Remote Sensing of Environment

Volumn 112, Issue 2, 2008, Pages 403-414

  Thoma, D P ^a   Moran, M S ^a   Bryant, R ^a   Rahman, M M ^b   Collins, C D Holifield ^a   Keefer, T O ^a   Noriega, R ^c   Osman, I ^d   Skrivin, S M ^a   Tischler, M A ^e   Bosch, D D ^f   Starks, P J ^g   Peters Lidard, C D ^a  

^a SOUTHWEST WATERSHED RESEARCH CENTER   (United States)

^b Saskatchewan Environment Planning and Risk Analysis Division   (Canada)

^c U S ARMY   (United States)

^d US Army Corps of Engineers Topographic Engineering Center ^*

^e SOUTHEAST WATERSHED RESEARCH LABORATORY   (United States)

^f USDA ARS GRAZINGLANDS RESEARCH LABORATORY   (United States)

^g NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Radar; Scale; Soil moisture

Indexed keywords

BACKSCATTERING; OPTICAL RESOLVING POWER; RADAR; VEGETATION;

HIGH RESOLUTION RADAR IMAGERY; SOIL MOISTURE RETRIEVAL; VEGETATED SOILS;

SOIL MOISTURE;

BACKSCATTER; IMAGE RESOLUTION; RADAR IMAGERY; SATELLITE IMAGERY; SOIL MOISTURE; VEGETATION;

ARIZONA; GEORGIA; NORTH AMERICA; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 38049141133     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.06.021     Document Type: Article

References (29)

1. Allen P.B., and Naney J.W. Hydrology of Little Washita Research Watershed, Oklahoma. Data and Analysis, USDA-ARS publication no. ARS-90 (1991) 74 pgs
2. Baghdadi N., Gherboudj I., Zirbi M., Sahebi M., King C., and Bonn F. Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements. International Journal of Remote Sensing 25 18 (2004) 3593-3623
3. Bindlish R., and Barros A.P. Multifrequency soil moisture inversion from SAR measurements with the use of IEM. Remote Sensing of Environment 71 (2000) 61-88
4. Bosch D.D., Jackson T.J., Lakshmi V., Jacobs J., and Moran S. In situ soil moisture network for validation of remotely sensed data. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. September 20-24, 2004 (2004), IEEE, Anchorage, Alaska
5. Bosch D.D., Sullivan D.G., and Sheridan J.M. Hydrologic impacts of land-use changes in coastal plain watersheds. Transactions of the American Society of Agricultural and Biological Engineers 49 2 (2006) 423-432
6. Bryant R., Moran M.S., Thoma D., Holifield Collins C.D., Skirvin S.M., Rahman M., et al. Measuring surface roughness height to parameterize radar backscatter models for retrieval of surface soil moisture. IEEE Geoscience and Remote Sensing Letters 4 1 (2007)
7. Callens M., and Verhoest N.E.C. Description and analysis of the soil roughness field campaign conducted at the experimental farm of Ghent University during the winter period 2002-2003. Laboratory of hydrology and water management, Ghent University (2004)
8. Dynamax Inc. Thetaprobe type ML2 brochure. 10808 Fallstone, Suite 350, Houston, TX 77099 (1999)
9. Frost V.S., Stiles J., Shanmugan K., and Holtzmann J. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-4 (1982) 157-166
10. Fung A.K., Li Z., and Chen K.S. Backscattering from a randomly rough dielectric surface. IEEE Transactions on Geoscience and Remote Sensing 30 2 (1992) 356-369
11. Griffiths G.H., and Wooding M.G. Temporal monitoring of soil moisture using ERS-1 SAR data. Hydrological Processes 10 (1996) 1127-1138
12. Helsel D. Nondetects and data analysis, statistics for censored environmental data (2005), Wiley-Interscience, New Jersey
13. Hutchinson J. Estimating near-surface soil moisture using active microwave satellite imagery and optical sensor inputs. Transactions of the ASAE 46 2 (2003) 225-236
14. Keefer, T. O., Moran, M. S., & Paige, G. B. (submitted for publication). Long-term meteorological and soil hydrology database, Walnut Gulch Experimental Watershed, Arizona, USA. Water Resources Research.
15. Kelly R.E.J., David T.J.A., and Atkinson P.M. Explaining temporal and spatial variation in soil moisture in a bare field using SAR imagery. International Journal of Remote Sensing 24 15 (2003) 3059-3074
16. Kuan D.T., Sawchuk A.A., Strand T.C., and Chavel P. Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-7 (1985) 165-167
17. Le Conte R., and Brissette F. Mapping near-surface soil moisture with Radarsat-1 synthetic aperture radar data. Water Resources Research 40 1 (2004) W015151-W0151513 (doi)
18. Lee J.S., Jurkevich I., Dewaele P., Wambacq P., and Oosterlinck A. Speckle filtering of synthetic aperture radar images: a review. Remote Sensing Reviews 8 (1994) 313-340
19. Mattia F., Toan T., Picard G., Posa F., D'Alessio A., Notarnicola C., et al. Multitemporal C-band radar measurements on wheat fields. IEEE Transactions on Geoscience and Remote Sensing 41 7 (2003)
20. Moran M.S., Hymer D.C., Qi J., and Sano E.E. Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland. Agricultural and Forest Meteorology 105 (2000) 69-80
21. Oldak A., Jackson T., Starks P., and Elliott R. Mapping near-surface soil moisture on a regional scale using ERS-2 SAR data. International Journal of Remote Sensing 24 22 (2003) 4579-4598
22. Peters-Lidard C.D., Wu Y., Tischler M.A., and O'Neill P.E. Operational modeling of soil moisture at local and regional scales. In: Renard K.G., McElroy S.A., Gburek W.J., Canfield H.E., and Scott R.L. (Eds). Proc. First Interagency Conference on Research in the Watersheds (2003, 27-30 October), USDA-ARS, Benson, Arizona
23. Radarsat International. Radarsat data products specifications. MacDonald Dettwiler Building, 13800 Commerce Parkway Richmond, British Columbia, Canada V6V 2J3 (2000)
24. Renard K.G., Lane L.J., Simanton J.R., Emmerich W.E., Stone J.J., Weltz M.A., et al. Agricultural impacts in an arid environment: Walnut Gulch studies. American Institute of Hydrology, Hydrological Science and Technology 9 1-4 (1993) 149-159 ((3106 kb PDF) SWRC Reference No.: 921)
25. Shoshany M., Svoray T., Curran P.J., Foody G.M., and Perevolotsky A. The relationship between ERS-2 SAR backscatter and soil moisture: generalization from a humid to semi-arid transec. International Journal of Remote Sensing 21 11 (2000) 2337-2343
26. Singh A., Maichle R., and Sanghee E. On the computation of a 95% upper confidence limit of the unknown population mean based upon data sets with below detection limit observations. U.S. Environmental Protection Agency Office of Research and Development, EPA/600/R-06/022 (2006)
27. Staples G., and Branson W. Radarsat illuminated, your guide to products and services. Radarsat International, 13800 Commerce Pkwy, MacDonald Dettwiler Bldg. Richmond B.C., Canada V6V 2J3 (1998)
28. Starks P.J., Heathman G.C., Jackson T.J., and Cosh M.H. Temporal stability of profile soil moisture. Journal of Hydrology 324 (2006) 400-411
29. Thoma D.P., Moran M.S., Bryant R., Rahman M., Holifield-Collins C.D., Skirvin S., et al. Comparison of four models to determine surface soil moisture from C-band radar imagery in a sparsely vegetated semiarid landscape. Water Resources Research 42 (2006) W01418 10.1029/2004WR003905