Title
Comparison of LST retrieval algorithms between single-channel and split-windows for high-resolution infrared camera
Abstract
This paper compared the LST retrieval algorithm between single-channel and split-window for high-resolution thermal infrared camera. MODTRAN was used to ascertain the atmospheric coefficients of the generalized split-window algorithm and JM&S single-channel algorithm based on TIGR database. Algorithm fitting precision analysis and the sensitivity analysis of the two algorithms were carried out. The total errors of land surface temperature were estimated by means of evaluating the influence of several parameters: atmospheric water vapor, land surface emissivity and noise of the sensor. The results showed that the uncertainties of several parameters above would increase the total errors. In low atmospheric water vapor, the accuracy of the single-channel algorithm is about 1K, equal to the accuracy of the split-window algorithm. In high atmospheric water vapor, the accuracy of the single-channel algorithm increase to about 2K and that of the split-window algorithm was invariant.
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5416922
IGARSS
Keywords
Field
DocType
algorithm fitting precision analysis,atmospheric humidity,remote sensing,lst retrieval algorithms,atmospheric optics,radiance transfer simulation,emissivity,infrared imaging,atmospheric coefficients,data analysis,atmospheric water vapor,jm&s single-channel algorithm,radiative transfer,generalized split-window algorithm,neat,land surface temperature,infrared remote sensing,modtran,land surface emissivity,ne△t,sensor noise,high-resolution thermal infrared camera,atmospheric temperature,sensitivity analysis,algorithm design and analysis,water vapor,atmospheric modeling,satellites,fitting,uncertainty,databases,remote monitoring,high resolution,infrared
Atmospheric optics,MODTRAN,Algorithm design,Computer science,Remote sensing,Atmospheric temperature,Atmospheric model,Emissivity,Space-time adaptive processing,Water vapor
Conference
Volume
ISSN
ISBN
1
2153-6996
978-1-4244-3395-7
Citations 
PageRank 
References 
1
0.59
1
Authors
6
Name
Order
Citations
PageRank
Li Zhu110.59
Jia-guo Li222.63
Chuanqing Wu3245.26
Bing-Feng Yang411.27
Qing Li510.59
Hui Gong643.28