Lancaster EPrints

Soil moisture estimation over grass-covered areas using AIRSAR.

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.

Full text not available from this repository.

Abstract

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.

Item Type: Article
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
ID Code: 22478
Deposited By: ep_ss_importer
Deposited On: 29 Jan 2009 09:40
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 16:01
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/22478

Actions (login required)

View Item