The Spatial classification of Leaf Area in Iran by Modes remote sensing data
Satellite images as new tools, provide new dimensions for land monitoring. In this study, in order to determine the homogeneous geographical areas in terms of leaf area, the remote sensing images of the Terra-Aqua Modis during the period of 2002-2016 with a spatial resolution of one kilometer and 8...
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| Format: | Article |
| Language: | fas |
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University of Tabriz
2019-11-01
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| Series: | نشریه جغرافیا و برنامهریزی |
| Subjects: | |
| Online Access: | https://geoplanning.tabrizu.ac.ir/article_9758_9d0e9cab0a803f5ad5dd99a0de5a6001.pdf |
| _version_ | 1797256935233290240 |
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| author | fakhry sadat fateminiya behrouz sobhani Seyed Abolfazl Masoodian |
| author_facet | fakhry sadat fateminiya behrouz sobhani Seyed Abolfazl Masoodian |
| author_sort | fakhry sadat fateminiya |
| collection | DOAJ |
| description | Satellite images as new tools, provide new dimensions for land monitoring. In this study, in order to determine the homogeneous geographical areas in terms of leaf area, the remote sensing images of the Terra-Aqua Modis during the period of 2002-2016 with a spatial resolution of one kilometer and 8 days’ time interval used.Leaf area was Zoning and analysis using the Matlab software and the Google Earth database. For this purpose, first, the mosaic and determination of the territory of Iran in the satellite data set of the Modis was determined. Then, a database in the field of cluster analysis, choropleth zoning created. Long-term mean temperature and precipitation data were also used in order to better understand the range of the leaf area. According to this analysis, 39.9 percent of Iran's vast vegetation is governed. The four zones identified in the country are the large, massive, moderate, and narrow areas. These four domains are respectively 0.89, 0.001, 3.31, and 35.76 of the land. The results showed that in all studied areas, the leaf area had a higher percentage during The warm period of the year due to the high temperature in this period and the presence of precipitation in the early cold season. The northern slopes of the Alborz, Hyrcanian forests, Golestan forests, Arasbaran forests are areas where there are different regions in all zones. In addition to forests, the areas identified for each generally include fields. |
| first_indexed | 2024-04-24T22:29:39Z |
| format | Article |
| id | doaj.art-a8c5515568324ab7babfb4e48618a23e |
| institution | Directory Open Access Journal |
| issn | 2008-8078 2717-3534 |
| language | fas |
| last_indexed | 2024-04-24T22:29:39Z |
| publishDate | 2019-11-01 |
| publisher | University of Tabriz |
| record_format | Article |
| series | نشریه جغرافیا و برنامهریزی |
| spelling | doaj.art-a8c5515568324ab7babfb4e48618a23e2024-03-19T22:09:05ZfasUniversity of Tabrizنشریه جغرافیا و برنامهریزی2008-80782717-35342019-11-0123692132319758The Spatial classification of Leaf Area in Iran by Modes remote sensing datafakhry sadat fateminiya0behrouz sobhani1Seyed Abolfazl Masoodian2univerciyt of mohaghegh ardabilyDepartement of geographyDepartment of Physical Geography, University of Isfahan, Isfahan, IranSatellite images as new tools, provide new dimensions for land monitoring. In this study, in order to determine the homogeneous geographical areas in terms of leaf area, the remote sensing images of the Terra-Aqua Modis during the period of 2002-2016 with a spatial resolution of one kilometer and 8 days’ time interval used.Leaf area was Zoning and analysis using the Matlab software and the Google Earth database. For this purpose, first, the mosaic and determination of the territory of Iran in the satellite data set of the Modis was determined. Then, a database in the field of cluster analysis, choropleth zoning created. Long-term mean temperature and precipitation data were also used in order to better understand the range of the leaf area. According to this analysis, 39.9 percent of Iran's vast vegetation is governed. The four zones identified in the country are the large, massive, moderate, and narrow areas. These four domains are respectively 0.89, 0.001, 3.31, and 35.76 of the land. The results showed that in all studied areas, the leaf area had a higher percentage during The warm period of the year due to the high temperature in this period and the presence of precipitation in the early cold season. The northern slopes of the Alborz, Hyrcanian forests, Golestan forests, Arasbaran forests are areas where there are different regions in all zones. In addition to forests, the areas identified for each generally include fields.https://geoplanning.tabrizu.ac.ir/article_9758_9d0e9cab0a803f5ad5dd99a0de5a6001.pdfcluster analysischoroplethmodis remote sensing imagesleaf area in iran |
| spellingShingle | fakhry sadat fateminiya behrouz sobhani Seyed Abolfazl Masoodian The Spatial classification of Leaf Area in Iran by Modes remote sensing data نشریه جغرافیا و برنامهریزی cluster analysis choropleth modis remote sensing images leaf area in iran |
| title | The Spatial classification of Leaf Area in Iran by Modes remote sensing data |
| title_full | The Spatial classification of Leaf Area in Iran by Modes remote sensing data |
| title_fullStr | The Spatial classification of Leaf Area in Iran by Modes remote sensing data |
| title_full_unstemmed | The Spatial classification of Leaf Area in Iran by Modes remote sensing data |
| title_short | The Spatial classification of Leaf Area in Iran by Modes remote sensing data |
| title_sort | spatial classification of leaf area in iran by modes remote sensing data |
| topic | cluster analysis choropleth modis remote sensing images leaf area in iran |
| url | https://geoplanning.tabrizu.ac.ir/article_9758_9d0e9cab0a803f5ad5dd99a0de5a6001.pdf |
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