Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data

Jeff Duncan, Janet Franklin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The semiarid Sahel of West Africa has been subject to increased degradation in recent decades. In order to utilize remotely sensed data to monitor surface changes over time, it is necessary to develop and test methods for deriving quantitative information on surface components which typically occur as mixtures at the sub-pixel scale. In this preliminary study, the broad band spectra of surface components in the HAPEX-Sahel study area were analyzed for their potential affects on spectral mixture models of remotely sensed data. Non-linear spectral interactions between the woody canopy and substrate (soil and herbaceous layer) were also examined.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1046-1048
Number of pages3
Volume2
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4) - Pasadena, CA, USA
Duration: Aug 8 1994Aug 12 1994

Other

OtherProceedings of the 1994 International Geoscience and Remote Sensing Symposium. Vol 4 (of 4)
CityPasadena, CA, USA
Period8/8/948/12/94

ASJC Scopus subject areas

  • Software
  • Geology

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    Duncan, J., & Franklin, J. (1994). Estimating fractional vegetation cover at the subpixel scale in a semiarid region using a statistical mixture model and remotely sensed data. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2, pp. 1046-1048). IEEE.