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

Author

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

Author_Institution

Cooperative Inst. for Res. in Environ. Sci., Colorado Univ., Boulder, CO, USA

Volume

3

fYear

1996

fDate

27-31 May 1996

Firstpage

1663

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

Keywords

geometrical optics; image resolution; inverse problems; reflectivity; remote sensing; sensitivity analysis; AVHRR unmixing methodology; BRDF inversion; NOAA AVHRR satellite imagery; angular reflectance data; biophysical parameter retrieval; canopy model inversion; geometrical-optical model inversion; heterogeneous regions; high resolution imagery; land-cover types; savanna regions; sensitivity study; spatial resolution; sub-pixel vegetation endmember bidirectional reflectance; Bidirectional control; Biomedical optical imaging; Geometrical optics; Image resolution; Land surface; Optical scattering; Remote sensing; Solid modeling; Spatial resolution; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516763

Filename

516763