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

Autor:	Mohammed A. Kalkhan, Robin M. Reich, Thomas J. Stohlgren
Rok vydání:	1998
Předmět:	Cohen's kappa Double sampling Aerial photography Thematic Mapper General Earth and Planetary Sciences Sampling (statistics) Sample (statistics) Satellite imagery Cartography Mathematics Stratified sampling
Zdroj:	International Journal of Remote Sensing. 19:2049-2060
ISSN:	1366-5901 0143-1161
DOI:	10.1080/014311698214857
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6ee7c92f120daa3d094030e66579b493 https://doi.org/10.1080/014311698214857 Zobrazit plný text záznamu