globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-18-5345-2014
Scopus记录号: 2-s2.0-84919497511
论文题名:
Identification of catchment functional units by time series of thermal remote sensing images
作者: Müller B; , Bernhardt M; , Schulz K
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期:12
起始页码: 5345
结束页码: 5359
语种: 英语
Scopus关键词: Atmospheric temperature ; Catchments ; Classification (of information) ; Image reconstruction ; Land use ; Remote sensing ; Runoff ; Surface measurement ; Time series ; Advanced spaceborne thermal emission and reflection radiometer ; Functional behaviors ; Information components ; Land surface models ; Land surface temperature ; Statistical pattern analysis ; Thermal remote sensing ; Water and energies ; Principal component analysis ; ASTER ; energy balance ; land surface ; landscape ; principal component analysis ; remote sensing ; temporal variation ; time series
英文摘要: The identification of catchment functional behavior with regards to water and energy balance is an important step during the parameterization of land surface models. An approach based on time series of thermal infrared (TIR) data from remote sensing is developed and investigated to identify land surface functioning as is represented in the temporal dynamics of land surface temperature (LST). For the mesoscale Attert catchment in midwestern Luxembourg, a time series of 28 TIR images from ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) was extracted and analyzed, applying a novel process chain. First, the application of mathematical-statistical pattern analysis techniques demonstrated a strong degree of pattern persistency in the data. Dominant LST patterns over a period of 12 years were then extracted by a principal component analysis. Component values of the two most dominant components could be related for each land surface pixel to land use data and geology, respectively. The application of a data condensation technique ("binary words") extracting distinct differences in the LST dynamics allowed the separation into landscape units that show similar behavior under radiation-driven conditions. It is further outlined that both information component values from principal component analysis (PCA), as well as the functional units from the binary words classification, will highly improve the conceptualization and parameterization of land surface models and the planning of observational networks within a catchment. © 2014 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78029
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作者单位: Institute of Water Management Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Austria; Department of Geography, Ludwig-Maximilians-Universität, Munich, Germany

Recommended Citation:
Müller B,, Bernhardt M,, Schulz K. Identification of catchment functional units by time series of thermal remote sensing images[J]. Hydrology and Earth System Sciences,2014-01-01,18(12)
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