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Technical note Assessing the accuracy of Landsat Thematic Mapper classification using double sampling.

Authors :
Kalkhan, M. A.
Reich, R. M.
Stohlgren, T. J.
Source :
International Journal of Remote Sensing. 07/20/98, Vol. 19 Issue 11, p2049-2060. 12p.
Publication Year :
1998

Abstract

Double sampling was used to provide a cost efficient estimate of the accuracy of a Landsat Thematic Mapper (TM) classification map of a scene located in the Rocky Mountain National Park, Colorado. In the first phase, 200 sample points were randomly selected to assess the accuracy between Landsat TM data and aerial photography. The overall accuracy and Kappa statistic were 49.5 per cent and 32.5 per cent, respectively. In the second phase, 25 sample points identified in the first phase were selected using stratified random sampling and located in the field. This information was used to correct for misclassification errors associated with the first phase samples. The overall accuracy and Kappa statistic increased to 59.6 per cent and 45.6 per cent, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01431161
Volume :
19
Issue :
11
Database :
Academic Search Index
Journal :
International Journal of Remote Sensing
Publication Type :
Academic Journal
Accession number :
3844626
Full Text :
https://doi.org/10.1080/014311698214857