Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah)
Water is one of most important human needs for life. According to importance of subject, discussion of management and utilization of water resources has become one of the most important global issues. Remote sensing data are often used in water body extraction studies and type of remote sensing data...
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Kharazmi University
2020-09-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-3041-en.pdf |
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| author | sayyad asghari roholah jalilyan noshin pirozineghad aghil madadi milad yadeghari |
| author_facet | sayyad asghari roholah jalilyan noshin pirozineghad aghil madadi milad yadeghari |
| author_sort | sayyad asghari |
| collection | DOAJ |
| description | Water is one of most important human needs for life. According to importance of subject, discussion of management and utilization of water resources has become one of the most important global issues. Remote sensing data are often used in water body extraction studies and type of remote sensing data used plays an important role in water body extraction. In this study, ability of Landsat satellite with application of water indices, to extraction of Gamasiab River in Kermanshah and comparing these indices have been investigated. Specific feature of Low width and shallow rivers has increased the complexity of studies of such rivers using available data. Water body extraction from remote sensing images has been over the past two decades. Water indices were first developed using Landsat TM and Landsat ETM. But its better performance in Landsat 8 is well documented by the researchers. In this study, NDWI, MNDWI, AWEI_nsh, AWEI_sh and WRI indices were used. With extracting optimal threshold from histogram of indices and applying this threshold, the study area was classified into two classes of water and non-water. Then overall accuracy and kappa coefficient values were taken from each of the indices. Finally, AWEI index with overall accuracy of 99.09% and a Kappa coefficient of 0.98 was the best response among the indices in the study area. The results this study showed that approach can easily extract water from satellite imagery. |
| format | Article |
| id | doaj-art-92f15b35b48e4885bf2b357ab2db7575 |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2020-09-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-92f15b35b48e4885bf2b357ab2db75752025-01-31T17:27:15ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382020-09-0120585370Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah)sayyad asghari0roholah jalilyan1noshin pirozineghad2aghil madadi3milad yadeghari4 mohaghegh ardabili mohaghegh ardabili Tabriz University mohaghegh ardabili Islamic Azad University Science & Research Water is one of most important human needs for life. According to importance of subject, discussion of management and utilization of water resources has become one of the most important global issues. Remote sensing data are often used in water body extraction studies and type of remote sensing data used plays an important role in water body extraction. In this study, ability of Landsat satellite with application of water indices, to extraction of Gamasiab River in Kermanshah and comparing these indices have been investigated. Specific feature of Low width and shallow rivers has increased the complexity of studies of such rivers using available data. Water body extraction from remote sensing images has been over the past two decades. Water indices were first developed using Landsat TM and Landsat ETM. But its better performance in Landsat 8 is well documented by the researchers. In this study, NDWI, MNDWI, AWEI_nsh, AWEI_sh and WRI indices were used. With extracting optimal threshold from histogram of indices and applying this threshold, the study area was classified into two classes of water and non-water. Then overall accuracy and kappa coefficient values were taken from each of the indices. Finally, AWEI index with overall accuracy of 99.09% and a Kappa coefficient of 0.98 was the best response among the indices in the study area. The results this study showed that approach can easily extract water from satellite imagery.http://jgs.khu.ac.ir/article-1-3041-en.pdflandsatwater indexclassificationoverall accuracykappa coefficient |
| spellingShingle | sayyad asghari roholah jalilyan noshin pirozineghad aghil madadi milad yadeghari Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah) تحقیقات کاربردی علوم جغرافیایی landsat water index classification overall accuracy kappa coefficient |
| title | Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah) |
| title_full | Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah) |
| title_fullStr | Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah) |
| title_full_unstemmed | Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah) |
| title_short | Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah) |
| title_sort | evaluation of water extraction indices using landsat satellite images case study gamasiab river of kermanshah |
| topic | landsat water index classification overall accuracy kappa coefficient |
| url | http://jgs.khu.ac.ir/article-1-3041-en.pdf |
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