%0 Journal Article
%T Estimation of Daily Air Temperature Based on MODIS Land Surface Temperature Products over the Corn Belt in the US
%A Linglin Zeng
%A Brian D. Wardlow
%A Tsegaye Tadesse
%A Jie Shan
%A Michael J. Hayes
%A Deren Li
%A Daxiang Xiang
%J Remote Sensing
%P 951-970
%D 2015
%I MDPI AG
%R 10.3390/rs70100951
%X Air temperature (Ta) is a key input in a wide range of agroclimatic applications. Moderate Resolution Imaging Spectroradiometer (MODIS) Ts (Land Surface Temperature (LST)) products are widely used to estimate daily Ta. However, only daytime LST (Ts-day) or nighttime LST (Ts-night) data have been used to estimate Tmax/Tmin (daily maximum or minimum air temperature), respectively. The relationship between Tmax and Ts-night, and the one between Tmin and Ts-day has not been studied. In this study, both the ability of Ts-night data to estimate Tmax and the ability of Ts-day data to estimate Tmin were tested and studied in the Corn Belt during the growing season (May¨CSeptember) from 2008 to 2012, using MODIS daily LST products from both Terra and Aqua. The results show that using Ts-night for estimating Tmax could result in a higher accuracy than using Ts-day for a similar estimate. Combining Ts-day and Ts-night, the estimation of Tmax was improved by 0.19¨C1.85, 0.37¨C1.12 and 0.26¨C0.93 ˇăC for crops, deciduous forest and developed areas, respectively, when compared with using only Ts-day or Ts-night data. The main factors influencing the Ta estimation errors spatially and temporally were analyzed and discussed, such as satellite overpassing time, air masses, irrigation, etc.
%K air temperature
%K land surface temperature
%K remote sensing
%K MODIS
%U http://www.mdpi.com/2072-4292/7/1/951