Accuracy Assessment of Land Use and Land Cover Classification of AL-Najaf Province, Iraq
Abstract
The study has been applied in AL-Najaf province within sedimentary plain, where the study area has been divided into three districts : AL- Haydria sub district, AL- Kufa district center with (AL-Abbassiya sub district, and AL- Huriya sub district) and AL- Manathera district center with (AL-Heera sub district, AL- Mishkahab sub district, and AL-Qadisiya sub district), then maximum likelihood supervised classifications has been used in order to classify these districts by using landsat 8 satellite image of 2015. For each one of these districts, there are totally six categories were identified and classified in this study.
They are a residential buildings, water bodies, orchards, agriculture lands, a green space and bare lands. The ERDAS Imagine version 9.2 is presented the following accuracy, for AL-Kufa district center, the overall classification accuracy is 85.05%and the overall Kappa Statistics is 0.7850, whereas AL-Haydria sub district, the overall classification accuracy 94.82% and the overall kappa statistics is 0.8501, and finally AL-Manathera district center, the overall classification accuracy is 89.12%and the overall kappa statistics is 0.8552.
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Copyright (c) 2018 Nawal K. Ghazal, Ali K. Hussein
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