Linear spectral unmixing of CASI data for habitat mapping and management in a coastal dune system

Author

Shanmugam, Sanjeevi ; Barnsley, Mike

Author_Institution

Dept. of Geogr., Univ. of Wales, Swansea, UK

Volume

2

fYear

1998

fDate

6-10 Jul 1998

Firstpage

767

Abstract

Linear spectral unmixing of airborne multispectral scanner (CASI = Compact Airborne Spectrographic Imager) imagery is performed using the constrained least squares method. The subpixel proportions of sand, vegetation and shadow/moisture are defined to decipher the status of habitats in Kenfig National Nature Reserve and dune ecosystem bordering Swansea Bay, south Wales, UK. Salix repens growth form, an indicator of vegetation density, is compared with the estimated fractions of vegetation and sand to demonstrate the validity of the mixture model

Keywords

ecology; remote sensing; CASI data; CASI imagery; Compact Airborne Spectrographic Imager; Kenfig National Nature Reserve; Salix repens growth; Swansea Bay; UK; airborne multispectral scanner; coastal dune system; constrained least squares method; dune ecosystem; habitat management; habitat mapping; linear spectral unmixing; mixture model; moisture; sand; south Wales; vegetation density; Acceleration; Biodiversity; Ecosystems; Geography; Least squares methods; Pixel; Reflectivity; Sea measurements; Spatial resolution; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.699577

Filename

699577