A model for the retrieval and monitoring of soil moisture over desert area of Kuwait
Authors: Al Jassar, H. K.; Rao, K. S.; Sabbah, I.
Source: International Journal of Remote Sensing, Volume 27, Number 2, 2006 , pp. 329-348(20)
Publisher: Taylor and Francis Ltd
Abstract:A simple statistical inversion model is developed for the retrieval of soil moisture, based on two frequencies. The model is applicable to desert semi-arid areas such as Kuwait, where the surface is covered with scant vegetation and moderate roughness. In this study, Nimbus-7 SMMR brightness temperature ( T b ) data at two bands ( T b(H) of 6.6 GHz and T b(V) of 37 GHz) acquired during the six-year period (1979–1985) are used for the retrieval and monitoring of soil moisture. The model parameters are fine-tuned with field data. The accuracy of estimation of soil moisture is of the order of 3%. The soil moisture varies from 1% (in dry summer) to 13% (during the rainy period), with an average of 4%.
Document Type: Research Article
Affiliations: Department of Physics, Kuwait University, PO Box 5969, Safat 13060, State of Kuwait
Publication date: 2006-01-20