Assessment of sources and distribution of sand dunes near Baiji City - Iraq using remote sensing techniques

المؤلفون

  • .عقيل عباس الزبيدي

الملخص

The production of thematic maps, such as those depicting land cover,
using an image classification is one of the most common applications of remote
sensing. Several methods exist for remote sensing image classification; they
include supervised, unsupervised and other approaches. Accuracy assessment of
a remote sensing output is a most important step in classification of remotely
sensed data, and without accuracy assessment the quality of map or output
produced would be of lesser value to the end user. This paper perform supervised
classification technique on remote sensing data for land cover classification in
Baiji area and evaluate the accuracy result of classification technique using
ERDAS IMAGINE V9.2. The study used Landsat 7 satellite image ETM+ as a
primary data, with spatial resolution 30 m x 30 m. The land cover classes for the
study area were classified into five themes. A total of 96 sample points were
collected using Random Sampling. The results showed that the overall accuracy
for the supervised classification was 91.67%, where Kappa statistics was 0.8757.
Keywords: Supervised Classification, Accuracy Assessment, Land Cover
Mapping, Remote Sensing, Iraq.

التنزيلات

منشور

2020-09-20

كيفية الاقتباس

عباس الزبيدي .عقيل. (2020). Assessment of sources and distribution of sand dunes near Baiji City - Iraq using remote sensing techniques. مجلة المستنصرية للعلوم والتربية, 18(2), 231–342. استرجع في من https://edumag.uomustansiriyah.edu.iq/index.php/mjse/article/view/388

إصدار

القسم

Research Article