Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/IGARSS.2016.7730809 |
VALIDATION OF LANDSAT-8 TIRS LAND SURFACE TEMPERATURE RETRIEVED FROM MULTIPLE ALGORITHMS IN AN EXTREMELY ARID REGION | |
Wang, Yujia; Zhou, Ji; Li, Mingsong; Zhang, Xiaodong | |
通讯作者 | Zhou, Ji |
会议名称 | 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
会议日期 | JUL 10-15, 2016 |
会议地点 | Beijing, PEOPLES R CHINA |
英文摘要 | With the rapid development of new satellite thermal sensors and applications of land surface temperature (LST), research on finding effective algorithms to retrieve accurate LST from satellite thermal infrared (TIR) data is becoming more and more important. In this study, multiple algorithms for retrieving LST from Landsat-8 Thermal Infrared Sensor (TIRS) data are validated and intercompared in an extremely arid region, Northwest China. According to the validation and intercomparison, we find that the radiative transfer equation (RTE) based method with TIRS band 1 (10.6-11.19 mu m) has the highest accuracy, while the single-channel (SC) method using TIRS band 2 (11.50-12.51 mu m) yielded the lowest accuracy. The accuracies of split-window (SW) algorithms are slightly lower than the RTE based method. However, the SW algorithms have better applicability than the RTE based method. The most suitable SW algorithm for Landsat-8 TIRS data in the study area is recommended. This study will be beneficial for developing the LST product from Landsat-8 data for the study area. |
英文关键词 | Land surface temperature (LST) thermal infrared remote sensing split-window algorithm radiative transfer equation Landsat8-TIRS arid region |
来源出版物 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
ISSN | 2153-6996 |
出版年 | 2016 |
页码 | 6934-6937 |
EISBN | 978-1-5090-3332-4 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000388114606185 |
WOS关键词 | SINGLE-CHANNEL METHOD |
WOS类目 | Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing |
WOS研究方向 | Engineering ; Geology ; Remote Sensing |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/305195 |
作者单位 | Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yujia,Zhou, Ji,Li, Mingsong,et al. VALIDATION OF LANDSAT-8 TIRS LAND SURFACE TEMPERATURE RETRIEVED FROM MULTIPLE ALGORITHMS IN AN EXTREMELY ARID REGION[C]:IEEE,2016:6934-6937. |
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