NDLI: Spatio-temporal analysis of the relationship between LST from MODIS and air temperature in New Zealand

Content Provider	Springer Nature Link
Author	Sohrabinia, M. Zawar Reza, P. Rack, W.
Copyright Year	2014
Abstract	The ambient air temperature (Ta) is an important environmental parameter which can be estimated from satellite observations of the land surface temperature (LST) using a linear regression model. This paper attempts to answer the question of whether the series of a single pixel or a spatially averaged series over several pixels should be used for modelling Ta from remotely sensed LST data. Sensitivity of LST-Ta relationship to the moderate resolution imaging spectroradiometer (MODIS) window size, which determines the number of pixels contributed in the correlations, over a number of test sites in New Zealand was analysed. LST series of a single pixel over a period of 10 years gave a correlation coefficient $r\geqslant $ 0.80 with Ta measurements. Bootstrapping by random resampling from seasonal subsets of both time-series was applied to determine seasonal and inter-annual variability of LST-Ta relationship. A fast Fourier filtering was applied for noise reduction and detection of dominant spectra in LST series. Spatially averaged time-series from larger windows, which included more pixels, showed slightly higher agreement with Ta measurements. We considered the effects of wind speed (WS) and wind direction (WD) on the LST-Ta relationship. Highest correlation between Ta and LST time-series was achieved using a 25 × 25 window at 2 ≤ WS < 8 ms−1. No significant effect due to WD was found in the results. MODIS-Terra nighttime (∼10:30 PM) observations showed the highestwhile MODIS-Aqua nighttime (∼1:30 AM) observations showed the lowest agreement with Ta measurements. These results indicate that the best approach for modelling Ta based on LST observations from MODIS in the long-term is to use a spatially averaged LST series over a window of 5 × 5 to 25 × 25 pixels, with a consideration of WS effects and observation times.
Starting Page	567
Ending Page	583
Page Count	17
File Format	PDF
ISSN	0177798X
Journal	Theoretical and Applied Climatology
Volume Number	119
Issue Number	3-4
e-ISSN	14344483
Language	English
Publisher	Springer Vienna
Publisher Date	2014-03-07
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Atmospheric Sciences Climatology Atmospheric Protection/Air Quality Control/Air Pollution Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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