تقييم مصادر و توزيع الكثبان الرملية بالقرب من مدينة بيجي – العراق باستخدام تقانات التحسس النائي
Year: 2020
Type: article
Abstract: The production of thematic maps, such as those depicting land cover,using an image classification is one of the most common applications of remotesensing. Several methods exist for remote sensing image classification; theyinclude supervised, unsupervised and other approaches. Accuracy assessment ofa remote sensing output is a most important step in classification of remotelysensed data, and without accuracy assessment the quality of map or outputproduced would be of lesser value to the end user. This paper perform supervisedclassification technique on remote sensing data for land cover classification inBaiji area and evaluate the accuracy result of classification technique usingERDAS IMAGINE V9.2. The study used Landsat 7 satellite image ETM+ as aprimary data, with spatial resolution 30 m x 30 m. The land cover classes for thestudy area were classified into five themes. A total of 96 sample points werecollected using Random Sampling. The results showed that the overall accuracyfor the supervised classification was 91.67%, where Kappa statistics was 0.8757.Keywords: Supervised Classification, Accuracy Assessment, Land CoverMapping, Remote Sensing, Iraq.
Author: عباس الزبيدي, .عقيل
Language: Arabic
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W7220565699