Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range)
Accurate snow cover extraction is crucial in water resources management, particularly in regions where snowfall contributes to atmospheric precipitation. However, it poses challenges in mountainous areas due to limited accessibility, diverse topographic and physiographic features, and insufficient m...
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2023-12-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| author | Behnam Sedaghat Ali Javadzade khiavi Babak Naeim Erfan Khajavi Amir Reza Taghavi Khanghah |
| author_facet | Behnam Sedaghat Ali Javadzade khiavi Babak Naeim Erfan Khajavi Amir Reza Taghavi Khanghah |
| author_sort | Behnam Sedaghat |
| collection | DOAJ |
| description | Accurate snow cover extraction is crucial in water resources management, particularly in regions where snowfall contributes to atmospheric precipitation. However, it poses challenges in mountainous areas due to limited accessibility, diverse topographic and physiographic features, and insufficient meteorological stations. To overcome these limitations, remote sensing, which offers multiple advantages like providing information at different scales, extensive coverage, and cost-effectiveness, is employed to assess various snow cover extraction methods in mountainous regions. This study aimed to assess the effectiveness of object-oriented and pixel-based techniques in extracting snow cover using Landsat8 satellite imagery. The pixel-based method relies on classifying numerical values of images, while the novel object-oriented approach takes into account not only numerical images but also background information, texture, and content for classification. The SAM classification method, a pixel-based technique, and object-oriented classification methods, along with NDSI, NDVI, and LST algorithms, were utilized to process the images. Thematic maps were derived from each classification, and their overall accuracy was evaluated in the post-processing stage. The results revealed that the object-oriented classification method exhibited a general accuracy of 92%, outperforming the pixel-based method, which achieved a general accuracy of 81.6%. This demonstrates that the object-oriented method is more precise in extracting snow cover in the mountainous area of Damavand. |
| format | Article |
| id | doaj-art-74dc433ac45f49ebb0ec1f55be0bae92 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Bilijipub publisher |
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| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-74dc433ac45f49ebb0ec1f55be0bae922025-02-12T08:47:31ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632023-12-0100204819310.22034/aeis.2023.427451.1147186526Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range)Behnam Sedaghat0Ali Javadzade khiavi1Babak Naeim2Erfan Khajavi3Amir Reza Taghavi Khanghah4Department of Civil Engineering, Tabriz University, Tabriz, 5166616471, IranDepartment of Civil Engineering, Mohaghegh Ardabili university, Ardabil, 5619911367, IranDepartment of Civil Engineering, Mohaghegh Ardabili university, Ardabil, 5619911367, IranDepartment of Civil Engineering, Islamic Azad University of Ardabil Branch, Ardabil, 5615731567, IranDepartment of Civil Engineering, Islamic Azad University of Ardabil Branch, Ardabil, 5615731567, IranAccurate snow cover extraction is crucial in water resources management, particularly in regions where snowfall contributes to atmospheric precipitation. However, it poses challenges in mountainous areas due to limited accessibility, diverse topographic and physiographic features, and insufficient meteorological stations. To overcome these limitations, remote sensing, which offers multiple advantages like providing information at different scales, extensive coverage, and cost-effectiveness, is employed to assess various snow cover extraction methods in mountainous regions. This study aimed to assess the effectiveness of object-oriented and pixel-based techniques in extracting snow cover using Landsat8 satellite imagery. The pixel-based method relies on classifying numerical values of images, while the novel object-oriented approach takes into account not only numerical images but also background information, texture, and content for classification. The SAM classification method, a pixel-based technique, and object-oriented classification methods, along with NDSI, NDVI, and LST algorithms, were utilized to process the images. Thematic maps were derived from each classification, and their overall accuracy was evaluated in the post-processing stage. The results revealed that the object-oriented classification method exhibited a general accuracy of 92%, outperforming the pixel-based method, which achieved a general accuracy of 81.6%. This demonstrates that the object-oriented method is more precise in extracting snow cover in the mountainous area of Damavand.https://aeis.bilijipub.com/article_186526_ee2ea80d57ecaf32d6f267e71885d012.pdfsnow cover surfacepixel-based processing methoddamavand mountainobject-oriented processing methodoperational land imagerthermal infrared sensor sensors |
| spellingShingle | Behnam Sedaghat Ali Javadzade khiavi Babak Naeim Erfan Khajavi Amir Reza Taghavi Khanghah Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) Advances in Engineering and Intelligence Systems snow cover surface pixel-based processing method damavand mountain object-oriented processing method operational land imager thermal infrared sensor sensors |
| title | Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) |
| title_full | Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) |
| title_fullStr | Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) |
| title_full_unstemmed | Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) |
| title_short | Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) |
| title_sort | evaluation of object based and pixel based technique for extracting snow cover surface using landsat 8 satellite images case study damavand mountain range |
| topic | snow cover surface pixel-based processing method damavand mountain object-oriented processing method operational land imager thermal infrared sensor sensors |
| url | https://aeis.bilijipub.com/article_186526_ee2ea80d57ecaf32d6f267e71885d012.pdf |
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