FORESTIST

ASSESSMENT METHODS FOR CLASSIFICATION ACCURACY IN ~EMOTE SENSING DATA

1.

I.Ü.Orman Fakültesi, Orman Biyolojisi ve Odun Koruma Teknolojisi Anabilim Dalı

FORESTIST 2006; 56: -
DOI: 10.17099/jffiu.80125
Read: 791 Downloads: 599 Published: 21 January 2020

From the early 1970s up to now advaneed many sensor data have been eommonly used with a view to eolleet information and produee various thematie maps in large areas. Prospeetive users of maps and data derived from remotely sensed images quite naturally ask about the aeeuraey of the information they will use. However. questions conceming the aeeııraey are surprisingly diffieult to reply in a eonvineing manner. In this paper, how aeeuraey assessment of a map or a elassifıed image derived from remote sensing data according to different aeeuraey assessment method s was explaincd with a sample applieation.

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