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Daily mean air temperature estimation from MODIS land surface temperature products based on M5 model tree
Author(s) -
Emamifar Saeed,
Rahimikhoob Ali,
Noroozi Ali Akbar
Publication year - 2013
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3655
Subject(s) - moderate resolution imaging spectroradiometer , environmental science , satellite , mean squared error , remote sensing , meteorology , air temperature , climatology , geography , statistics , mathematics , geology , engineering , aerospace engineering
The use of satellite data to estimate air temperature ( T a ) near the Earth's surface has become an effective way for a large area with high spatial and temporal resolution. In this study, M5 model tree was used to estimate T a in Khuzestan province (in the southwest of Iran) using satellite remotely sensed land surface temperature ( T s ) data acquired by the MODerate Resolution Imaging Spectroradiometer ( MODIS )‐Terra sensor. The input variables for the M5 model tree were the daytime and nighttime MODIS T s , extraterrestrial solar radiation and Julian day. A total of 365 images of MOD11A1 T s product for the year 2007, covering the area of this study were collected from the Land Processes Distributed Active Archive Center ( LP DAAC ). The results of this study showed that mean daily T a can be estimated with acceptable levels of the statistical indicators from MODIS data and from the two geographic parameters using the M5 model. Root mean square error and R 2 for the comparison between observed and estimated T a for the tested data are 2.3 and 0.96 °C, respectively.