Paper Info
Title
Estimation of Diurnal Cycle of Land Surface Temperature at High Temporal and Spatial Resolution from Clear-Sky MODIS Data
Abstract
The diurnal cycle of land surface temperature (LST) is an important element of the climate system. Geostationary satellites can provide the diurnal cycle of LST with low spatial resolution and incomplete global coverage, which limits its applications in some studies. In this study, we propose a method to estimate the diurnal cycle of LST at high temporal and spatial resolution from clear-sky MODIS data. This method was evaluated using the MSG-SEVIRI-derived LSTs. The results indicate that this method fits the diurnal cycle of LST well, with root mean square error (RMSE) values less than 1 K for most pixels. Because MODIS provides at most four observations per day at a given location, this method was further evaluated using only four MSG-SEVIRI-derived LSTs corresponding to the MODIS overpass times (10:30, 13:30, 22:30, and 01:30 local solar time). The results show that the RMSE values using only four MSG-SEVIRI-derived LSTs are approximately two times larger than those using all LSTs. The spatial distribution of the modeled LSTs at the MODIS pixel scale is presented from 07:00 to 05:00 local solar time of the next day with an increment of 2 hours. The diurnal cycle of the modeled LSTs describes the temporal evolution of the LSTs at the MODIS pixel scale.
Year
DOI
Venue
2014
10.3390/rs6043247
REMOTE SENSING
Keywords
Field
DocType
land surface temperature (LST),diurnal temperature cycle (DTC),MODIS,MSG-SEVIRI
Remote sensing,Mean squared error,Sky,Pixel,Diurnal cycle,Climatology,Geology,Image resolution,Geostationary orbit,Spatial distribution,Solar time
Journal
Volume
Issue
ISSN
6
4
2072-4292
Citations 
PageRank 
References 
9
0.90
13
Authors
7
Name
Order
Citations
PageRank
Sibo Duan16013.11
Zhao-Liang Li2416127.21
Bo-Hui Tang310326.15
Hua Wu411325.88
Ronglin Tang54216.12
yuyun bi6131.91
Guoqing Zhou78917.89