Relating surface backscatter response from TRMM precipitation radar to soil moisture: Results over a semi-arid region

Hydrology and Earth System Sciences

Volumn 14, Issue 2, 2010, Pages 193-204

  Stephen, H ^a   Ahmad, S ^a   Piechota, T C ^a   Tang, C ^b  

^a UNIVERSITY OF NEVADA   (United States)

^b IDAHO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARID REGIONS; BACKSCATTERING; MOISTURE; PRECIPITATION (METEOROLOGY); RADAR; RAIN; RAIN GAGES; SOIL MOISTURE; SOILS; VEGETATION;

ARID AND SEMI-ARID REGIONS; CALIBRATION AND VALIDATIONS; CORRELATION COEFFICIENT; EXPERIMENTAL WATERSHEDS; NORMALIZED DIFFERENCE VEGETATION INDEX; SURFACE SOIL MOISTURE; TROPICAL RAINFALL MEASURING MISSIONS; VARIABLE INFILTRATION CAPACITY MODELS;

RADAR MEASUREMENT;

ARID REGION; BACKSCATTER; CALIBRATION; INFILTRATION; MAP; NDVI; PRECIPITATION (CLIMATOLOGY); RADAR; RIVER BASIN; SEMIARID REGION; SOIL MOISTURE; SOIL WATER; TOPOGRAPHIC MAPPING; TRMM; VEGETATION COVER; WATER CONTENT;

COLORADO BASIN [NORTH AMERICA];

EID: 79951657080     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-14-193-2010     Document Type: Article

References (50)

1. Abdulla, F. A., Lettenmaier, D. P., Wood, E. F., and Smith, J. A.: Application of a macroscale hydrological model to estimate the water balance of the Arkansas Red river, J. Geophys. Res.Atmos., 101, 7449-7459, 1996.
2. Ahmad, S., Kalra, A., and Stephen, H.: Estimating Soil Moisture using Remote Sensing Data: A Machine Learning Approach, Adv. Water Res., 33(1), 69-80, 2010.
3. Barrett, B. W., Dwyer, E., and Whelan, P.: Soil moisture retrieval from active spaceborne microwave observations: An evaluation of current techniques, Remote Sens., 1, 210-242, doi:10.3390/rs1030210, 2009.
4. Baup, F., Mougin, E., de Rosnay, P., Timouk, F., and Chênerie, I.: Surface soil moisture estimation over the AMMA Sahelian site in Mali using ENVISAT/ASAR data, Remote Sens. Environ., 109(4), 473-481, 2007. (Pubitemid 47007696)
5. Behari, J.: Microwave Dielectric Behavior of Wet Soils, Springer, 233 Spring Street, New York, USA, 2005.
6. Bindlish, R., Jackson, T. J., Wood, E., Gao, H., Starks, P., Bosch, D., and Lakshmi, V.: Soil moisture estimates from TRMM Microwave Imager observations over the Southern United States, Remote Sens. Environ., 85(4), 507-515, 2003. (Pubitemid 36619180)
7. Cosh, M. H., Jackson, T. J., Moran, S., and Bindlish, R.: Temporal persistence and stability of surface soil moisture in a semi-arid watershed, Remote Sens. Environ., 112, 304-313, 2008.
8. Das, N. N., Mohanty, B. P., Cosh, M. H., and Jackson, T. J.: Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch Watershed during SMEX04, Remote Sens. Environ., 112, 415-429, 2008.
9. Exploring the water cycle of the Blue planet: The Soil Moisture and Ocean Salinity (SMOS) mission, Esa Bulletin-European Space Agency 137, 6-15, 2009.
10. Fung, A. K.: Microwave Scattering and Emission Models and Their Applications, Artech House, Inc., Boston, Massachusetts, 1994.
11. Ferrazzoli P., Solimini, D., Luzi, G., and Paloscia, S.: Model analysis of backscatter and emission from vegetated terrains, Journal Electromagnetic Waves and Applications, 5(2), 175-193, 1001.
12. Ferrazzoli, P., Paloscia, S., Pampaloni, P., Schiavon, G., Sigismondi, S., and Solimini, D.: The Potential of Multifrequency Polarimetrie SAR in Assessing Agricultural and Arboreous Biomass IEEE T. Geosci. Remote, 35(1), 5-17, 1997. (Pubitemid 127771038)
13. Guttman, N. B. and Quayle, R.: A historical perspective of U.S. climate divisions, B. Am. Meteorol. Soc., 77(2), 293-303, 1996.
14. Kalra, A. and Ahmad, S.: Using oceanic-atmospheric oscillation for long lead time stramflow forecasting, Water Resour. Res., 45, W03413, doi:l0.1029/2008 WR006855, 2009.
15. Kim, Y. and Zyl, J. J. v.: A time-series approach to estimate soil moisture using Polarimetrie radar data IEEE T. Geosci. Remote Sens., 47(8), 2519-2527, 2009.
16. Kozu, T., Kawanishi, T., Kuroiwa, H., Kojima, M., Oikawa, K., Kumagai, H., Okamoto, K., Okumura, M., Nakatsuka, H., and Nishikawa, K.: Development of Precipitation Radar onboard the Tropical Rainfall Measuring Mission (TRMM) satellite, IEEE T. Geosci. Remote, 39(1), 102-116, 2001. (Pubitemid 32191287)
17. Kummerow, C., Barnes, W., Kozu, T., Shiue, J., and Simpson, J.: The Tropical Rainfall Measuring Mission (TRMM) sensor package, J. Atmos. Ocean. Technol, 15, 808-816, 1998.
18. Kurum, M., Lang, R. H., O'Neill, P. E., Joseph, A. T., Jackson, T. J., and Cosh, M. H.: L-Band Radar Estimation of Forest Attenuation for Active/Passive Soil Moisture Inversion, IEEE T. Geosci. Remote, 47(9), 3026-3040, 2009.
19. Li, L., Im, E., Connor, L. N., and Chang, P. S.: Retrieving ocean surface wind speed from the TRMM Precipitation Radar, IEEE T. Geosci. Remote, 42(6), 1271-1282, 2004.
20. Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J.: A simple hydrologically based model of land-surface water and energy fluxes for general-circulation models, J. Geophys. Res.-Atmos., 99(D7), 14415-14428, 1994.
21. Long D. G. and Hardin, P. J.: Vegetation studies of the Amazon basin using enhanced resolution Seasat scatterometer data, IEEE T. Geosci. Remote, 32(2), 449-460, 2005.
22. Magagi, R. D. and Kerr, Y. H.: Retrieval of soil moisture and vegetation characteristics by use of ERS-1 Scatterometer over arid and semi-arid areas, J. Hydrol., 188-189, 361-384, 1997.
23. Mladenova, I., Lakshmi, V., Jackson, T., and Walker, J.: Ku-band sensitivity to soil moisture. An evaluation study for monitoring temporal soil moisture change detection over the NAFE06 study area, Proceedings of International Geoscience and Remote Sensing Symposium, 2(1), II805-II808, 2008.
24. Mladenova, I., Lakshmi, V., Jackson, T., Walker, J., Long, D. G., and Richard, D. J.: An assessment of QuikSCAT ku-band scatterometer data for soil moisture sensitivity IEEE T. Geosci. Remote, 6(4), 640-643, 2009.
25. Moran, M. S., Vidal, A., Troufleau, D., Inoue, Y., and Mitchell, T. A.: Ku- and C-Band SAR for Discriminating Agricultural Crop and Soil Conditions IEEE T. Geosci. Remote, 36(1), 265-272, 1998. (Pubitemid 128748435)
26. Moran, M. S., Peters-Lidrad, C. D., Watts, J. M., and McElroy, S.: Estimating soil moisture at the watershed scale with satellitebased radar and land surface models, Can. J. Remote Sens., 30(5), 805-826, 2004. (Pubitemid 40050096)
27. Maurer, E. P., Wood, A. W., Adam, J. C., Lettenmaier, D. P., and Nijssen, B.: A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States, J. Climate, 15, 3237-3251, 2002. (Pubitemid 36006341)
28. Narayan, U., Lakshmi, V., and Jackson, T.: A Simple Algorithm for Spatial Disaggregation of Radiometer Derived Soil Moisture Using Higher Resolution Radar Observations, IEEE T. Geosci. Remote 44(6), 1545-1554, 2006. (Pubitemid 43824501)
29. Njoku, E. G., Jackson, T. J., Lakshmi, V., Chan, T. K., and Nghiem, S. V.: Soil moisture retrieval from AMSR-E, IEEE T. Geosci. Remote, 41(2), 215-229, 2003.
30. Paloscia, S., Macelloni, G., Santi, E., and Koike, T.: A multifrequency algorithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites, IEEE T. Geosci. Remote, 39(8), 1655-1661, 2001. (Pubitemid 32933004)
31. Pulliainen, J. T., Manninen, T., and Hallikainen, M.: Application of ERS-1 Wind Scatterometer data to soil frost and soil moisture monitoring in Boreal forest zone, IEEE T. Geosci. Remote, 36(3), 849-863, 1998. (Pubitemid 128748496)
32. Rahman, M. M., Moran, M. S., Thoma, D. P., Bryan, R.t, Collins, C. D. H., Jackson, T., Orr, B. J., and Tischler, M.: Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data, Remote Sens. Environ., 112, 391-402, 2008.
33. Ringelmann, N., Scipal, K., Bartalis, Z., and Wagner, W.: Planting date estimation in semi-arid environments based on Kuband radar scatterometer data, Proceedings of International Geo-science and Remote Sensing Symposium, 2,1288-1291,2004.
34. Sano, E. E., Moran, M. S., Huete, A. R., and Miura, T.: C- and Multiangle Ku-Band Synthetic Aperture Radar Data for Bare Soil Moisture Estimation in Agricultural Areas, Remote Sens. Environ., 64, 77-90, 1998. (Pubitemid 29363062)
35. Satake, M. and Hanado, H.: Diurnal change of Amazon rain forest σ° observed by Ku-band spaceborne radar, IEEE T. Geosci. Remote, 42(6), 1127-1134, 2004.
36. Schmugge, T. J.: Remote sensing of soil moisture: Recent advances, IEEE T. Geosci. Remote, GE-21(3), 336-344, 1993.
37. Seto, S., Oki, T., and Musiake, K.: Surface soil moisture estimation by TRMM/PR and TMI, in Proceedings of International Geoscience and Remote Sensing Symposium, vol. III, 1960-1962, IEEE, 2003.
38. Sheffield, J., Goteti, G., Wen, F., and Wood, E. F.: A simulated soil moisture based drought analysis for the United States, J. Geophys. Res., 109(D24), D24108.1-D24108.19, 2005.
39. Shi, J., Wang, J., Hsu, A. Y., O'Neill, P. E., and Engman, E. T.: Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data, IEEE T. Geosci. Remote, 35(5), 1254-1266, 1997.
40. Stephen, H. and Long, D. G.: Multi-spectral analysis of the Amazon basin using Seawinds, ERS, NASA, Seasat Scatterometer, TRMM-PR and SSM/I, in: Proceedings of Intl. Geosc. and Rem. Sens. Symp., Toronto, Canada, vol. 5, 2808-2810, 2002.
41. Stephen, H. and Long, D. G.: Microwave backscatter modeling of erg surfaces in the Sahara desert, IEEE T. Geosci. Remote, 43(2), 238-247, 2005.
42. Tang, C. and Piechota, T. C.: Spatial and Temporal Soil Moisture and Drought Variability in the Upper Colorado River Basin, J. Hydrol., 379, 122-135, 2009.
43. Timilsena, J., Piechota, T. C., Hidalgo, H., and Tootle, G.: Five Hundred Years of Hydrological Drought in the Upper Colorado River Basin, J. Am. Water Resour. Assoc, 43(3), 798-812, 2007. (Pubitemid 47028420)
44. Tucker, C. J.: Red and photographic infrared linear combinations for monitoring vegetation, Remote Sens. Environ., 8, 127-150, 1997.
45. Ulaby, F., Moore, R., and Fung, A.: Microwave Remote Sensing: Active and Passive, vol. 3, Artech House, Inc., Norwood, Massachusetts, 1982.
46. Wagner, W., Blöschl, D., Pampaloni, P., Calvet, J.-C., Bizzarri, B., Wigneron, J.-P., and Kerr, Y.: Operational readiness of microwave remote sensing of soil moisture for hydrologic applications, Nord. Hydrol., 38(1), 1-20, 2007. (Pubitemid 46210865)
47. Wagner, W., Böschl, G., Pampaloni, P., Calvet, J.-C., Bizzarri, B., Wigneron, J.-P., and Kerr, Y.: Operational readiness of microwave remote sensing of soil moisture for hydrologic applications, Nordic Hydrol, 38(1), 1-20, 2007. (Pubitemid 46210865)
48. Wagner, W., Noll, K., Borgeaud, M., and Rott, H.: Monitoring soil moisture over the Canadian Prairies with the ERS scatterometer, IEEE T. Geosci. Remote, 37(1), 206-216, 1999.
49. Wen, J., Su, Z., and Ma, Y.: Determination of land surface temperature and soil moisture from Tropical Rainfall Measuring Mission/Microwave Imager remote sensing data, J. Geophys. Res., 108(D2), 805-826, 2003.
50. Woodhouse I. H., and D. H. Hoekman: A model-based determination of soil moisture trends in spain with ERS-scatterometer, IEEE T. Geosci. Remote, 38(4), 1783-1793, 2000.