Technical note: Mapping surface-saturation dynamics with thermal infrared imagery
<p>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) ima...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-11-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://www.hydrol-earth-syst-sci.net/22/5987/2018/hess-22-5987-2018.pdf |
| _version_ | 1818081380221845504 |
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| author | B. Glaser B. Glaser M. Antonelli M. Antonelli M. Chini L. Pfister L. Pfister J. Klaus |
| author_facet | B. Glaser B. Glaser M. Antonelli M. Antonelli M. Chini L. Pfister L. Pfister J. Klaus |
| author_sort | B. Glaser |
| collection | DOAJ |
| description | <p>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.</p> |
| first_indexed | 2024-12-10T19:05:17Z |
| format | Article |
| id | doaj.art-4689f9e5ef9e45af81a4be81cd3de4ce |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-10T19:05:17Z |
| publishDate | 2018-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-4689f9e5ef9e45af81a4be81cd3de4ce2022-12-22T01:36:55ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382018-11-01225987600310.5194/hess-22-5987-2018Technical note: Mapping surface-saturation dynamics with thermal infrared imageryB. Glaser0B. Glaser1M. Antonelli2M. Antonelli3M. Chini4L. Pfister5L. Pfister6J. Klaus7Catchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, LuxembourgDepartment of Hydrology, University of Bayreuth, Universitätsstr. 30, Bayreuth, 95447, GermanyCatchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, LuxembourgHydrology and Quantitative Water Management Group, Wageningen University & Research, Droevendaalsesteeg 3a, Building 100, 6708 PB, Wageningen, 6700, the NetherlandsRemote Sensing and Ecohydrological Modelling Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, LuxembourgCatchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, LuxembourgFaculty of Science, Communication and Technology, University of Luxembourg, Maison du Savoir, 2 Avenue de l'Université, 4365 Esch-sur-Alzette, LuxembourgCatchment and Eco-Hydrology Research Group, Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, Esch-sur-Alzette, 4362, Luxembourg<p>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.</p>https://www.hydrol-earth-syst-sci.net/22/5987/2018/hess-22-5987-2018.pdf |
| spellingShingle | B. Glaser B. Glaser M. Antonelli M. Antonelli M. Chini L. Pfister L. Pfister J. Klaus Technical note: Mapping surface-saturation dynamics with thermal infrared imagery Hydrology and Earth System Sciences |
| title | Technical note: Mapping surface-saturation dynamics with thermal infrared imagery |
| title_full | Technical note: Mapping surface-saturation dynamics with thermal infrared imagery |
| title_fullStr | Technical note: Mapping surface-saturation dynamics with thermal infrared imagery |
| title_full_unstemmed | Technical note: Mapping surface-saturation dynamics with thermal infrared imagery |
| title_short | Technical note: Mapping surface-saturation dynamics with thermal infrared imagery |
| title_sort | technical note mapping surface saturation dynamics with thermal infrared imagery |
| url | https://www.hydrol-earth-syst-sci.net/22/5987/2018/hess-22-5987-2018.pdf |
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