DOI: 10.1016/j.jag.2015.11.011
Scopus记录号: 2-s2.0-85036638431
论文题名: Study of high temperature targets identification and temperature retrieval experimental model in SWIR remote sensing based Landsat8
作者: Yu Y ; , Xing L ; , Pan J ; , Jiang L ; , Yu H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 46 起始页码: 56
结束页码: 62
语种: 英语
英文关键词: Experimental model
; High temperature targets
; Landsat8
; SWIR
; Temperature retrieval
; Theoretical framework
Scopus关键词: experimental study
; high temperature
; Landsat
; modeling
; remote sensing
; theoretical study
英文摘要: For surface features in short-wave infrared (SWIR, 1.3–3.0 μm) in remote sensing imagery, pixel values depict the total energy including reflection and emission. For surface features at normal temperature in SWIR band, emission energy can be ignored. While for surface features at high temperature in SWIR band, emission energy is equal to or even higher than the reflection energy. So remote sensing imagery of SWIR band can be used to separate emission and reflection energy as well as to realize temperature retrieval of high temperature targets. In this study, the seventh band (SWIR band) of Landsat8 OLI remote sensing imagery is used to perform the theoretical model research for temperature retrieval of high temperature targets. In the meantime, it is also used with the corresponding observation experiment of synchronization satellite to check the theoretical model. The result shows that the radiant flux density for mixed pixels with high temperature targets is higher than adjacent pixels without high temperature targets. Thus, the high temperature pixels can be identified in SWIR band. The retrieval results of temperature and fractional area for high temperature targets are consistent with reality. In the study, the result illustrates that it is effective to identify high temperature targets in remote sensing imagery of SWIR band and the model is appropriate for temperature retrieval use. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80131
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geo- Exploration Science and Technology, Jilin University, Changchun, Jilin, China
Recommended Citation:
Yu Y,, Xing L,, Pan J,et al. Study of high temperature targets identification and temperature retrieval experimental model in SWIR remote sensing based Landsat8[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,46