Aerial, GIS, and field data calibration of a landsat ETM+ mountain pine beetle detection procedure in British Columbia, Canada

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 5, Issue , 2002, Pages 2887-2889

  Skakun, R ^a   Franklin, S E ^a   Wulder, M A ^a   Carroll, A ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; PHOTOGRAMMETRY; REMOTE SENSING;

AERIAL SURVEY POINT DATASET; DENTROCTONUS PONDEROSA;

SATELLITES;

PINUS CONTORTA;

EID: 0036399310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Franklin, S. E., and J. E. Luther. 1995, Satellite remote sensing of balsam fir forest structure, growth, and cumulative defoliation. Can. J. Rem. Sensing, 21: 400-411.
2. Franklin, S.E., and A. Raske. 1994. Satellite remote sensing of spruce budworm defoliation in western Newfoundland. Can. J. Rem. Sensing, 20: 37-48.
3. Franklin, S.E., R.H. Waring, R.W. McCreight, W.B. Cohen, and M. Fiorella. 1995 Aerial and satellite sensor detection and classification of western spruce budworm defoliation in a subalpine forest. Can. J. Rem. Sensing, 21: 299-308.
4. Gimbarzevsky P., A.F. Dawson, and G.A. Van Sickle. 1992 Assessment of aerial photographs and multi-spectral scanner imagery for measuring mountain pine beetle damage. For. Can., Pac. and Yukon region. Info. Rep. BC-X-333.
5. Murtha, P.A. 1978. Remote sensing and vegetation damage: a theory for detection and assessment. Photogramm. Eng. Rem. Sensing, 44: 1147-1158.
6. Renz, A.N. and J. Nemeth. 1985. Detection of mountain pine beetle infestation using Landsat MSS and simulated Thematic Mapper data. Can. J. Rem. Sensing, 11:50-57.
7. Richter, R. 1990 A fast atmospheric correction algorithm applied to Landsat TM Images. Int. J. Rem. Sensing, 11: 159-166.
8. Unger, L. Mountain pine beetle. Forestry Canada, Forest Insect and Disease Survey, Forest Pest Leaflet No. 76 7 p.