Lin, D. S. and Wood, E. F. and Beven, K. J. and Saatchi, S. (1994) Soil moisture estimation over grass-covered areas using AIRSAR. International Journal of Remote Sensing, 15 (11). pp. 2323-2333. ISSN 1366-5901Full text not available from this repository.
An empirical study of the relation between the AIRSAR's signals and land surface parameters is conducted using data collected during MACEUROPE' 91. General additive regression models are fitted to the data simulated from a calibrated microwave backscattering model. A comparison between the model predictions and field observations indicates that the regression models are good predictors to the AIRSAR's signals over the grass-covered areas. Based on the regression relationships, a soil moisture retrieval algorithm combining the Lvband multi-polarization AIRSAR data is proposed and used to create spatial soil moisture maps of the Slapton Wood catchment.
|Journal or Publication Title:||International Journal of Remote Sensing|
|Subjects:||G Geography. Anthropology. Recreation > GE Environmental Sciences|
|Departments:||Faculty of Science and Technology > Lancaster Environment Centre|
|Deposited On:||29 Jan 2009 09:40|
|Last Modified:||06 Jan 2017 01:30|
Actions (login required)