Land surface temperature zoning of Iran with MODIS data
MODIS LST high spatial and temporal resolution data can provide higher quality information about temperature variation in different regions of Iran. LST cluster analysis calculated to detect LST zones and LST spatiotemporal variation in every zone. Time consistent LST has been product from MODIS Ter...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
University of Sistan and Baluchestan
2016-03-01
|
| Series: | مخاطرات محیط طبیعی |
| Subjects: | |
| Online Access: | https://jneh.usb.ac.ir/article_2657_04efc73ac1058e7fa63000f6d87670e6.pdf |
| _version_ | 1797805272721260544 |
|---|---|
| author | Masoud Moradi Bromand Salahi Seyyed Abolfazl Masoodian |
| author_facet | Masoud Moradi Bromand Salahi Seyyed Abolfazl Masoodian |
| author_sort | Masoud Moradi |
| collection | DOAJ |
| description | MODIS LST high spatial and temporal resolution data can provide higher quality information about temperature variation in different regions of Iran. LST cluster analysis calculated to detect LST zones and LST spatiotemporal variation in every zone. Time consistent LST has been product from MODIS Terra and Aqua LSTs in any pixels of time series. Monthly long term mean temperature calculated from Time consistent LST and makes an array in 1765*2688*12 dimensions that is long term mean LST of Iran. Monthly data clustered using ward method. Tow temperature zone (warm & cold) separated in first step and each of them clustered to tow new sub clusters. The resulted zones include hot, warm, temperate, and cold. Four temperature zones is consistent with topographic and environmental characteristics of Iran. Temperate and cold zones located in higher areas in Zagros and Alborz mountains, while low altitudes in southern latitudes and deserts are the warm and hot zones. LST maximum values in warm and temperate zones are near to the values in hot zone. With regard to area of warm zone that cover the third of Iran area, it can be concluded that temperature increase in the large parts of the country has the ability to become hot areas |
| first_indexed | 2024-03-13T05:49:34Z |
| format | Article |
| id | doaj.art-1eecff8d0a054510ab8dc512d5e998da |
| institution | Directory Open Access Journal |
| issn | 2676-4377 2676-4385 |
| language | fas |
| last_indexed | 2024-03-13T05:49:34Z |
| publishDate | 2016-03-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | مخاطرات محیط طبیعی |
| spelling | doaj.art-1eecff8d0a054510ab8dc512d5e998da2023-06-13T19:51:15ZfasUniversity of Sistan and Baluchestanمخاطرات محیط طبیعی2676-43772676-43852016-03-015710111610.22111/jneh.2016.26572657Land surface temperature zoning of Iran with MODIS dataMasoud Moradi0Bromand Salahi1Seyyed Abolfazl Masoodian2دانشجوی دکتری آب و هواشناسی ، دانشگاه محقق اردبیلیدانشیار آب و هواشناسی ، دانشگاه محقق اردبیلیاستاد آب و هواشناسی، دانشگاه اصفهانMODIS LST high spatial and temporal resolution data can provide higher quality information about temperature variation in different regions of Iran. LST cluster analysis calculated to detect LST zones and LST spatiotemporal variation in every zone. Time consistent LST has been product from MODIS Terra and Aqua LSTs in any pixels of time series. Monthly long term mean temperature calculated from Time consistent LST and makes an array in 1765*2688*12 dimensions that is long term mean LST of Iran. Monthly data clustered using ward method. Tow temperature zone (warm & cold) separated in first step and each of them clustered to tow new sub clusters. The resulted zones include hot, warm, temperate, and cold. Four temperature zones is consistent with topographic and environmental characteristics of Iran. Temperate and cold zones located in higher areas in Zagros and Alborz mountains, while low altitudes in southern latitudes and deserts are the warm and hot zones. LST maximum values in warm and temperate zones are near to the values in hot zone. With regard to area of warm zone that cover the third of Iran area, it can be concluded that temperature increase in the large parts of the country has the ability to become hot areashttps://jneh.usb.ac.ir/article_2657_04efc73ac1058e7fa63000f6d87670e6.pdfland surface temperaturetemperature zoningmodisiran |
| spellingShingle | Masoud Moradi Bromand Salahi Seyyed Abolfazl Masoodian Land surface temperature zoning of Iran with MODIS data مخاطرات محیط طبیعی land surface temperature temperature zoning modis iran |
| title | Land surface temperature zoning of Iran with MODIS data |
| title_full | Land surface temperature zoning of Iran with MODIS data |
| title_fullStr | Land surface temperature zoning of Iran with MODIS data |
| title_full_unstemmed | Land surface temperature zoning of Iran with MODIS data |
| title_short | Land surface temperature zoning of Iran with MODIS data |
| title_sort | land surface temperature zoning of iran with modis data |
| topic | land surface temperature temperature zoning modis iran |
| url | https://jneh.usb.ac.ir/article_2657_04efc73ac1058e7fa63000f6d87670e6.pdf |
| work_keys_str_mv | AT masoudmoradi landsurfacetemperaturezoningofiranwithmodisdata AT bromandsalahi landsurfacetemperaturezoningofiranwithmodisdata AT seyyedabolfazlmasoodian landsurfacetemperaturezoningofiranwithmodisdata |