SAR-based estimation of areal aboveground biomass (AAB) of herbaceous vegetation in the semi-arid zone: A modification of the water-cloud model

T. Svoray, M. Shoshany

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Estimating herbage biomass in semi-arid regions is essential, but remote sensing techniques are problematic for this purpose due to sparse vegetation cover and the strong effect that soil background has on signals. In order to minimize this problesm, the synergy of unmixed soil and vegetation data within the water-cloud model is presented in this study. Results show that the modified model estimations are in agreement with actual field measurements from the semi-arid zone of central Israel. These results may imply that the water-cloud model could be implemented in areas of sparse herbaceous canopies using ERS-2 SAR data when combined with additional information about vegetation cover.

Original languageEnglish
Pages (from-to)4089-4100
Number of pages12
JournalInternational Journal of Remote Sensing
Volume23
Issue number19
DOIs
StatePublished - 1 Jan 2002

ASJC Scopus subject areas

  • General Earth and Planetary Sciences

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