Soil moisture estimation over grass-covered areas using AIRSAR

D. S. Lin, Eric F. Wood, K. Beven, S. Saatchi

Research output: Contribution to journalArticle

38 Scopus citations

Abstract

An empirical study of the relation between the AIRSAR’s signals and land surface parameters is conducted using data collected during MAC- EUROPE’91. General additive regression models are fitted to the data simulated from a calibrated microwave back scattering 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 L-band multi-polarization AIRSAR data is proposed and used to create spatial soil moisture maps of the Slapton Wood catchment.

Original languageEnglish (US)
Pages (from-to)2323-2343
Number of pages21
JournalInternational Journal of Remote Sensing
Volume15
Issue number11
DOIs
StatePublished - Jul 20 1994

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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