International Journal of Climatology, ( ISI ), Volume (5), No (36), Year (2016-5) , Pages (2417-2434)

Title : ( A statistical framework for estimating air temperature using MODIS land surface temperature data )

Authors: Nasime Janatian Ghadikolaei , Morteza Sadeghi , Seyed Hossein Sanaei Nejad , Elham Bakhshian , Alireza Faridhosseini , Seyed Majid Hasheminia , Sadegh Ghazanfari ,

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Remote sensing has shown an immense capability for large-scale estimation of air temperature (Tair), one ofthe most important environmental state variables, using land surface temperature (LST) data. Following recent investigations on the Tair –LST relationship, in this article, we propose an advanced statistical approach to this realm. We tested the approachfor estimation of Tair in eastern part of Iran using MODIS daytime and nighttime LST products and 11 auxiliary variables including Julian day, solar zenith angle, extraterrestrial solar radiation, latitude, altitude, reflectance at various visible and infrared bands and vegetation indices. Fourteen statistical models constructed through a stepwise regression analysis were evaluated along a 5-year period (2000–2004) using MODIS and meteorological station data. Results of this study indicated that the statistical approach performed reasonably well, where our final proposed model could estimate average Tair with validation mean absolute error of 2.3 and 1.8 ∘C at daily and weekly scales, respectively. Nighttime LST, Julian day, altitude and solar zenith angle indicated to be the most effective variables capturing most variations of Tair in the study region. Variables influenced by land surface and land cover properties including reflectance at different bands and vegetation indices showed a negligible effect on the Tair-LST relationship within the study area. It was indicated that the proposed models generally performed better for lower altitude regions.

Keywords

remote sensing; MODIS; air temperature; land surface temperature; statistical
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@article{paperid:1058640,
author = {Janatian Ghadikolaei, Nasime and Morteza Sadeghi and Sanaei Nejad, Seyed Hossein and Elham Bakhshian and Faridhosseini, Alireza and Hasheminia, Seyed Majid and Sadegh Ghazanfari},
title = {A statistical framework for estimating air temperature using MODIS land surface temperature data},
journal = {International Journal of Climatology},
year = {2016},
volume = {5},
number = {36},
month = {May},
issn = {0899-8418},
pages = {2417--2434},
numpages = {17},
keywords = {remote sensing; MODIS; air temperature; land surface temperature; statistical models},
}

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%0 Journal Article
%T A statistical framework for estimating air temperature using MODIS land surface temperature data
%A Janatian Ghadikolaei, Nasime
%A Morteza Sadeghi
%A Sanaei Nejad, Seyed Hossein
%A Elham Bakhshian
%A Faridhosseini, Alireza
%A Hasheminia, Seyed Majid
%A Sadegh Ghazanfari
%J International Journal of Climatology
%@ 0899-8418
%D 2016

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