IGSNRR OpenIR
landsurfacetemperatureretrievalforaridregionsbasedonlandsat8tirsdataacasestudyinshihezinorthwestchina
Yang Lei1; Cao Yungang1; Zhu Xiaohua2; Zeng Shenghe3; Yang Guojiang3; He Jiangyong3; Yang Xiuchun4
2014
Source Publicationjournalofaridland
ISSN1674-6767
Volume6Issue:6Pages:704
AbstractScientific interest in geophysical information about land surface temperature(LST) is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satellite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable accuracy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Furthermore, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmittance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/129092
Collection中国科学院地理科学与资源研究所
Affiliation1.西南交通大学
2.中国科学院地理科学与资源研究所
3.Institute of Farmland Water Conservancy and Soil-fertilizer, Xinjiang Academy of Agricultural and Reclamation Science
4.Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
Recommended Citation
GB/T 7714
Yang Lei,Cao Yungang,Zhu Xiaohua,et al. landsurfacetemperatureretrievalforaridregionsbasedonlandsat8tirsdataacasestudyinshihezinorthwestchina[J]. journalofaridland,2014,6(6):704.
APA Yang Lei.,Cao Yungang.,Zhu Xiaohua.,Zeng Shenghe.,Yang Guojiang.,...&Yang Xiuchun.(2014).landsurfacetemperatureretrievalforaridregionsbasedonlandsat8tirsdataacasestudyinshihezinorthwestchina.journalofaridland,6(6),704.
MLA Yang Lei,et al."landsurfacetemperatureretrievalforaridregionsbasedonlandsat8tirsdataacasestudyinshihezinorthwestchina".journalofaridland 6.6(2014):704.
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