气候变化领域集成服务门户(CCPortal): Technical note: Mapping surface-saturation dynamics with thermal infrared imagery

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DOI	10.5194/hess-22-5987-2018
	Technical note: Mapping surface-saturation dynamics with thermal infrared imagery
	Glaser B.; Antonelli M.; Chini M.; Pfister L.; Klaus J.
发表日期	2018
ISSN	1027-5606
起始页码	5987
结束页码	6003
卷号	22 期号:11
英文摘要	Surface saturation can have a critical impact on runoff generation and water quality. Saturation patterns are dynamic, thus their potential control on discharge and water quality is also variable in time. In this study, we assess the practicability of applying thermal infrared (TIR) imagery for mapping surface-saturation dynamics. The advantages of TIR imagery compared to other surface-saturation mapping methods are its large spatial and temporal flexibility, its non-invasive character, and the fact that it allows for a rapid and intuitive visualization of surface-saturated areas. Based on an 18-month field campaign, we review and discuss the methodological principles, the conditions in which the method works best, and the problems that may occur. These considerations enable potential users to plan efficient TIR imagery-mapping campaigns and benefit from the full potential offered by TIR imagery, which we demonstrate with several application examples. In addition, we elaborate on image post-processing and test different methods for the generation of binary saturation maps from the TIR images. We test the methods on various images with different image characteristics. Results show that the best method, in addition to a manual image classification, is a statistical approach that combines the fitting of two pixel class distributions, adaptive thresholding, and region growing. © Author(s) 2018.
语种	英语
scopus关键词	Infrared radiation; Water quality; Adaptive thresholding; Application examples; Class distributions; Image characteristics; Runoff generation; Statistical approach; Surface saturation; Thermal infrared imagery; Mapping; imaging method; infrared imagery; mapping method; pixel; runoff; saturation; visualization; water quality
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159850
作者单位	Glaser, B., Catchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, Luxembourg, Department of Hydrology, University of Bayreuth, Universitätsstr. 30, Bayreuth, 95447, Germany; Antonelli, M., Catchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, Luxembourg, Hydrology and Quantitative Water Management Group, Wageningen University and Research, Droevendaalsesteeg 3a, Building 100, 6708 PB, Wageningen, 6700, Netherlands; Chini, M., Remote Sensing and Ecohydrological Modelling Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, Luxembourg; Pfister, L., Catchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, Luxembourg, Faculty of Science, Communication and Technology, Univer...
推荐引用方式 GB/T 7714	Glaser B.,Antonelli M.,Chini M.,et al. Technical note: Mapping surface-saturation dynamics with thermal infrared imagery[J],2018,22(11).
APA	Glaser B.,Antonelli M.,Chini M.,Pfister L.,&Klaus J..(2018).Technical note: Mapping surface-saturation dynamics with thermal infrared imagery.Hydrology and Earth System Sciences,22(11).
MLA	Glaser B.,et al."Technical note: Mapping surface-saturation dynamics with thermal infrared imagery".Hydrology and Earth System Sciences 22.11(2018).