An autologistic regression model for increasing the accuracy of burned surface mapping using Landsat Thematic Mapper data

International Journal of Remote Sensing

Volumn 24, Issue 10, 2003, Pages 2199-2204

  Koutsias, N ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

LOGISTICS; REGRESSION ANALYSIS; WAVE FILTERS;

AUTOLOGISTIC REGRESSION MODEL;

MAPPING;

ACCURACY ASSESSMENT; ALGORITHM; FOREST FIRE; LAND SURFACE; LANDSAT THEMATIC MAPPER; MAPPING; REGRESSION ANALYSIS;

EID: 0038445121     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/0143116031000082073     Document Type: Article

References (7)

1. ATKINSON, P. M., 2000. Autologistic regression for flood zonation using SAR imagery. 26th Annual Conference of the Remote Sensing Society: Adding Value to Remotely Sensed Data (Nottingham: Remote Sensing Society) p. 12.
2. AUGUSTIN, N. H., MUGGGLESTONE, M. A., and BUCKLAND, S. T., 1996, An autologistic model for the spatial distribution of wildlife. Journal of Applied Ecology, 33, 339-347.
3. BESAG, J., 1974, Spatial interaction and the statistical - analysis of lattice systems. Journal of the Royal Statistical Society, Series B - Methodological, 36, 192-236.
4. CHUVIECO, E., and CONGALTON, R. G., 1988, Mapping and inventory of forest fires from digital processing of TM data. Geocarto International, 4, 41-53.
5. KOUTSIAS, N., and KARTERIS, M., 1998, Logistic regression modelling of multitemporal Thematic Mapper data for burned area mapping. International Journal of Remote Sensing. 19, 3499-3514.
6. KOUTSIAS, N., and KARTERIS, M., 2000, Burned area mapping using logistic regression modelling of a single post-fire Landsat-5 Thematic Mapper image. International Journal of Remote Sensing, 21, 673-687.
7. WU, H., and HUFFER, F. W., 1997, Modelling the distribution of plant species using the autologistic regression model. Environmental and Ecological Statistics, 4, 49-64.