Research ArticleOpen AccessGoogle Scholar indexed
Soil Moisture Retrieval Quantitatively with Remotely Sensed Data and Its Crucial Factors Analysis
- 1
- 2
- 3
- 4
Journal of Water Resource and Protection·Volume 01 (2009)·Pages 439–447·Published 23 December 2009·DOI10.4236/jwarp.2009.16053
Copy link · social · email
Abstract
The Ts/NDVI method was adopted to retrieve soil moisture with multi-temporal and multi-sensor remotely sensed data f ETM+ and ASTER in study area. The retrieved soil moisture maps were consistent with the soil type and vegetation, which were also the two main factors determining the distribution of soil moisture.
KeywordsSoil MoistureQuantitative Remote SensingNDVI
- R. W. A. Hutjes, P. Kabat, et al., “Biospheric aspects of the hydrological cycle,” Journal of Hydrology, Vol. 212–213, pp. 1–21, 1998.
- Y. Gao and C. Wang, “Biospheric aspects of hydrological cycle: BAHC plan and its research progress,” Progress in Geography, Vol. 19, pp. 97–103, 2000.
- D. Entekhabi, H. Nakamurai, and E. G. Njoku, “Solving the inverse problem for soil moisture and temperature profiles by sequential assimilation of multifrequeney re-motely sensed observations,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 32, pp. 438–448, 1994.
- IGPB, WCRD and IHDP, “Abstract volume of challenge of a changing earth,” in Proceedings Global Change Opening Science Conference, Amsterdam, Netherland, pp. 10 13, July, 2001.
- D. Gerten, S. Schaphoff, U. Haberlandt, W. Lucht, and S. Sitch, “Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation mode,” Journal of Hydrology, Vol. 286, pp. 249–270, 2004.
- N. A. Brunsell, “Characterization of land-surface precipita-tion feedback regimes with remote sensing,” Remote Sensing of Environment, Vol. 112, pp. 200–211, 2006.
- R. H. French, J. J. Miller, C. Dettling, and J. R. Carr, “Use of remotely sensed data to estimate the flow of wa-ter to a playa lake,” Journal of Hydrology, Vol. 325, pp. 67–81, 2006.
- M. S. Feldman, T. Howard, E. McDonald-Buller, G. Mullins, D. T. Allen, A. Webb, and Y. Kimura, “Appli-cations of satellite remote sensing data for estimating dry deposition in eastern Texas,” Atmospheric Environment, Vol. 44, pp. 7562–7576, 2007.
- E. García-Cuesta, I. M. Galván, and A. J. de Castro, “Multilayer perceptron as inverse model in a ground- based remote sensing temperature retrieval problem,” Engineering Applications of Artificial Intelligence, Vol. 21, pp. 26–34, 2008.
- A. Holsten, T. Vetter, K. Vohland, V. Krysanova, “Im-pact of climate change on soil moisture dynamics in Brandenburg with a focus on nature conservation areas,” Ecological Modelling, Vol. 220, pp. 2076–2087, 2009.
- K. Y. Li, M. T. Coe, N. Ramankutty, and R. D. Jong, “Modeling the hydrological impact of land-use change in West Africa,” Journal of Hydrology, Vol. 337, pp. 258– 268, 2007.
- J. Liu, E. Pattey, M. C. Nolin, J. R. Miller, and O. Ka, “Mapping within-field soil drainage using remote sens-ing,” DEM and apparent soil electrical conductivity. Ge-oderma, Vol. 143, pp.261–272, 2008.