Title :
Aerial, GIS, and field data calibration of a Landsat ETM+ mountain pine beetle detection procedure in British Columbia, Canada
Author :
Skakun, R. ; Franklin, S.E. ; Wulder, M.A. ; Carroll, A.
Author_Institution :
Dept. of Geogr., Calgary Univ., Alta., Canada
Abstract :
The identification and classification of mountain pine beetle, Dentroctonus ponderosa (Hopkins), red-attack damage patterns in a mature lodgepole pine (Pinus contorta) forest located in the Fort St. James Forest District, British Columbia, was accomplished using 1999 Landsat ETM+ satellite imagery, a 1999 mountain pine beetle field and aerial survey point dataset, and GIS forest inventory data. A maximum likelihood classification based on training areas developed from stratified field and aerial survey points was 73% correct. The red-attack damage class showed forest stands with a high likelihood of containing small groups of red-attacked trees.
Keywords :
geographic information systems; image classification; remote sensing; AD 1999; British Columbia; Canada; Dentroctontis ponderosa (Hopkins); Fort St. James Forest District; GIS data; Landsat ETM+ mountain pine beetle detection procedure; Pinus contorta; calibration; identification; mature lodgepole pine; maximum likelihood classification; red-attack damage patterns; red-attacked trees; Area measurement; Calibration; Degradation; Forestry; Geographic Information Systems; Geography; Maximum likelihood detection; Particle measurements; Remote sensing; Satellites;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026811