@inproceedings{f32452c066c747b28fb8f0073eafec97,
title = "An approach of retrieval of land surface temperature and emissivity from satellite observation",
abstract = "The land surface temperature (LST) and land surface emissivity (LSE) affect the satellite observed radiances or brightness temperature a lot. Therefore, accurate LST and LSE could benefit the retrieval of atmospheric sounding and certain application on LST like urban heat island effect. In this study, we try to use multi-spectral observation of MODIS for developing a retrieval algorithm of LST and LSE simultaneously. The brightness temperatures at MODIS infrared channels are calculated from Pressure-Layer Fast Algorithm for Atmospheric Transmittance (PFAAST) radiative transfer model at several combination of LSTs and LSEs. By selecting two sets of channels to conduct an optimal retrieval of both LST and LSE at the same time. The preliminary results show a good LST and LSE agreement with MODIS science team products, however, our algorithm reveals a quick and straightforward algorithm for a near real-time retrieval process, which will benefit routine operation in the future. Copyright",
keywords = "Land surface emissivity, Land surface temperature, MODIS, PFAAST",
author = "Lin, {Meng Yue} and Liu, {Chian Yi} and Lin, {Tang Huang} and Liu, {Gin Rong}",
year = "2013",
language = "???core.languages.en_GB???",
isbn = "9781629939100",
series = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",
publisher = "Asian Association on Remote Sensing",
pages = "2143--2150",
booktitle = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",
note = "34th Asian Conference on Remote Sensing 2013, ACRS 2013 ; Conference date: 20-10-2013 Through 24-10-2013",
}