Extracting sub-pixel vegetation endmember bidirectional reflectance for canopy model inversion using NOAA AVHRR satellite imagery

Gregory P. Asner, Jeffrey L. Privette, Carol A. Wessman, C. Ann Bateson

Research output: Contribution to conferencePaperpeer-review

Abstract

Biophysical parameter retrieval via BRDF inversion over heterogeneous regions is highly affected by the spatial resolution of the angular reflectance data. An AVHRR unmixing methodology is presented which utilizes high resolution imagery and a geometrical-optical model inversion to recover reflectances of individual land-cover types in savanna regions. Results of a sensitivity study are discussed.

Original languageEnglish (US)
Pages1663-1665
Number of pages3
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Conference

ConferenceProceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4)
CityLincoln, NE, USA
Period5/28/965/31/96

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'Extracting sub-pixel vegetation endmember bidirectional reflectance for canopy model inversion using NOAA AVHRR satellite imagery'. Together they form a unique fingerprint.

Cite this