Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations
نویسندگان
چکیده
Accurate estimations of daily mean land surface temperature (LST) are important for investigating the urban heat island effect, land-atmosphere energy exchanges, and global climate change. Moderate Resolution Imaging Spectroradiometer (MODIS) sensors can provide up to four instantaneous LSTs a single day across world. However, numerous studies, such as those on change hydrology, require input rather than value. In this paper, we propose practical method estimate LST using products derived from MODIS. Based in situ measurements collected 235 sites distributed globally, multiple linear regressions two valid at different MODIS observations moments (at least one daytime nighttime observations) reliable estimates under all-weather conditions with root square error (RMSE) less 1.60 K. addition, clouds would affect estimation accuracy certain extent. Subsequently, an algorithm is proposed produce most complete coverage Validation results show that estimated MOD11A1 MYD11A1 similar LST, RMSE 2.17 Furthermore, data successfully applied calculate annual cycle parameters (ACPs) (ATC) model. The study be retrieved accurately combinations We expect our findings will useful various applications involving trend analysis
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ژورنال
عنوان ژورنال: Isprs Journal of Photogrammetry and Remote Sensing
سال: 2021
ISSN: ['0924-2716', '1872-8235']
DOI: https://doi.org/10.1016/j.isprsjprs.2021.05.017