Soil moisture inversion using AMSR-E remote sensing data: An artificial neural network approach

Applied Mechanics and Materials

Volumn 501-504, Issue , 2014, Pages 2073-2076

  Xie, Xing Mei ^a   Xu, Jing Wen ^a   Zhao, Jun Fang ^b   Liu, Shuang ^a   Wang, Peng ^a  

^a SICHUAN AGRICULTURAL UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

AMSR E; Artificial neural network approach; Soil moisture retrieval

Indexed keywords

EID: 84893945050     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.501-504.2073     Document Type: Conference Paper

References (9)

1. S. Ahmad, A. Kalra, and H. Stephen, "Estimating soil moisture using remote sensing data: A machine learning approach", Advances in Water Resources, vol. 33 (2010), p. 69-80.
2. E. G. Njoku, T. J. Jackson, V. Lakshmi, et al., "Soil moisture retrieval from AMSR-E", IEEE Trans Geosci Remote Sens, vol. 41 (2003), p. 215-229.
3. C. S. Draper, J. P. Walker, P. J. Steinle, et al., "An evaluation of AMSR-E derived soil moisture over Australia", Remote Sensing Of Environment, vol. 113 Apr 15 (2009), p. 703-710.
4. J. P. Wigneron, J. C. Calvet, T. Pellarin, et al., "Retrieving near-surface soil moisture from microwave radiometric observations: Current status and future plans", Remote Sensing Of Environment, vol. 85 (2003), p. 489-506.
5. X.-z. Chen, S.-s. Chen, R.-f. Zhong, et al., "A semi-empirical inversion model for assessing surface soil moisture using AMSR-E brightness temperatures", Journal of Hydrology, vol. 456-457 (2012), p. 1-11.
6. A. Pandey, S. K. Jha, J. K. Srivastava, et al., "Artificial neural network for the estimation of soil moisture and surface roughness", Russian Agricultural Sciences, vol. 36 (2010), p. 428-432.
7. X.-q. H. and L.-h. L., "Preliminary Study on Modernization and Cultural Tourism Development of Mountainous Areas: the Case of the Hilly Central Sichuan Basin", Journal of Mountain Science, vol. 26 (2008), p. 244-252.
8. A. P. Markopoulos, D. E. Manolakos, and N. M. Vaxevanidis, "Artificial neural network models for the prediction of surface roughness in electrical discharge machining", Journal Of Intelligent Manufacturing, vol. 19 (2008), p. 283-292.
9. J. XU, X. ZHU, W. ZHANG, et al., "Daily streamflow forecasting by artificial neural network in a large-scale basin", in Proc. - IEEE Youth Conf. Inf., Comput. Telecommun., YC-ICT, 2009, pp. 487-490.