Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District .
Studying of land use changing Detection needs to the speed of implementation to convoy the changes on the ground. the traditional ways in the analysis and visual interpretation of the images and field studying need a lot of time and effort. So The objective of this search is to classify group...
| Main Authors: | , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
tishreen university journal
2016-12-01
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| Series: | مجلة جامعة تشرين للبحوث والدراسات العلمية- سلسلة الآداب والعلوم الانسانية |
| Online Access: | https://journal.tishreen.edu.sy/index.php/humlitr/article/view/2311 |
| _version_ | 1797450181789089792 |
|---|---|
| author | صفية عيد مناع عيسى |
| author_facet | صفية عيد مناع عيسى |
| author_sort | صفية عيد |
| collection | DOAJ |
| description |
Studying of land use changing Detection needs to the speed of implementation to convoy the changes on the ground. the traditional ways in the analysis and visual interpretation of the images and field studying need a lot of time and effort. So The objective of this search is to classify group images (Landsat TM , ETM+) taken in different dates automatically, and then to calculate the area of each land use/land cover, during the years studied (1990 -2000- 2010) and comparison areas to identify the most important changes occurring during that period.
The search also sought to analysis the spectral reflectance values for different targets for each wavelength used in classification to determine the wavelengths in the separation of objectives.Supervised classification accuracy (79%) is good accuracy which can be improved by using images with accuracy of spatial and spectral resolution It is higher reliable public studies that do not require detailed information.
The studying found that the band 5 and 7 of the Landsat data can be successfully used in the separation between pure basalt, basalt mixed with soil and urban uses, can also use the fourth band in irrigated crops, selected with great accuracy.
As for the change of land use studying showed continued increase in irrigated agricultural land area is generally at the expense of the home office space down the Rocky basalt and basalt mixed with soil, and increased space for built-up uses clearly during the period studied.
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| first_indexed | 2024-03-09T14:36:52Z |
| format | Article |
| id | doaj.art-a8d3170eecf346a9a9744848758f5995 |
| institution | Directory Open Access Journal |
| issn | 2079-3049 2663-4244 |
| language | Arabic |
| last_indexed | 2024-03-09T14:36:52Z |
| publishDate | 2016-12-01 |
| publisher | tishreen university journal |
| record_format | Article |
| series | مجلة جامعة تشرين للبحوث والدراسات العلمية- سلسلة الآداب والعلوم الانسانية |
| spelling | doaj.art-a8d3170eecf346a9a9744848758f59952023-11-27T12:38:29Zaratishreen university journalمجلة جامعة تشرين للبحوث والدراسات العلمية- سلسلة الآداب والعلوم الانسانية2079-30492663-42442016-12-01381Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District .صفية عيدمناع عيسى Studying of land use changing Detection needs to the speed of implementation to convoy the changes on the ground. the traditional ways in the analysis and visual interpretation of the images and field studying need a lot of time and effort. So The objective of this search is to classify group images (Landsat TM , ETM+) taken in different dates automatically, and then to calculate the area of each land use/land cover, during the years studied (1990 -2000- 2010) and comparison areas to identify the most important changes occurring during that period. The search also sought to analysis the spectral reflectance values for different targets for each wavelength used in classification to determine the wavelengths in the separation of objectives.Supervised classification accuracy (79%) is good accuracy which can be improved by using images with accuracy of spatial and spectral resolution It is higher reliable public studies that do not require detailed information. The studying found that the band 5 and 7 of the Landsat data can be successfully used in the separation between pure basalt, basalt mixed with soil and urban uses, can also use the fourth band in irrigated crops, selected with great accuracy. As for the change of land use studying showed continued increase in irrigated agricultural land area is generally at the expense of the home office space down the Rocky basalt and basalt mixed with soil, and increased space for built-up uses clearly during the period studied. https://journal.tishreen.edu.sy/index.php/humlitr/article/view/2311 |
| spellingShingle | صفية عيد مناع عيسى Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District . مجلة جامعة تشرين للبحوث والدراسات العلمية- سلسلة الآداب والعلوم الانسانية |
| title | Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District . |
| title_full | Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District . |
| title_fullStr | Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District . |
| title_full_unstemmed | Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District . |
| title_short | Land Use/Land Cover Classification Using Remote Sensing Techniques . A Case Study AL Mazraa Sub-District . |
| title_sort | land use land cover classification using remote sensing techniques a case study al mazraa sub district |
| url | https://journal.tishreen.edu.sy/index.php/humlitr/article/view/2311 |
| work_keys_str_mv | AT ṣfyẗʿyd landuselandcoverclassificationusingremotesensingtechniquesacasestudyalmazraasubdistrict AT mnạʿʿysy landuselandcoverclassificationusingremotesensingtechniquesacasestudyalmazraasubdistrict |