Improving Flood Detection and Monitoring through Remote Sensing
As climate-change- and human-induced floods inflict increasing costs upon the planet, both in terms of lives and environmental damage, flood monitoring tools derived from remote sensing platforms have undergone improvements in their performance and capabilities in terms of spectral, spatial and temp...
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| Formaat: | Online |
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| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online toegang: | ONIX_20220812_9783036538754_114 |
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| _version_ | 1869521683137691648 |
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| collection | Directory of Open Access Books |
| description | As climate-change- and human-induced floods inflict increasing costs upon the planet, both in terms of lives and environmental damage, flood monitoring tools derived from remote sensing platforms have undergone improvements in their performance and capabilities in terms of spectral, spatial and temporal extents and resolutions. Such improvements raise new challenges connected to data analysis and interpretation, in terms of, e.g., effectively discerning the presence of floodwaters in different land-cover types and environmental conditions or refining the accuracy of detection algorithms. In this sense, high expectations are placed on new methods that integrate information obtained from multiple techniques, platforms, sensors, bands and acquisition times. Moreover, the assessment of such techniques strongly benefits from collaboration with hydrological and/or hydraulic modeling of the evolution of flood events. The aim of this Special Issue is to provide an overview of recent advancements in the state of the art of flood monitoring methods and techniques derived from remotely sensed data. |
| format | Online |
| id | doab-20.500.12854ir-91235 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-912352024-04-11T15:11:04Z Improving Flood Detection and Monitoring through Remote Sensing Refice, Alberto Capolongo, Domenico Chini, Marco D’Addabbo, Annarita mobile mapping system RRI model high-water marks inundation Northern Kyushu floods point clouds flood mapping temporary flooded vegetation (TFV) Sentinel-1 time series data Synthetic Aperture Radar (SAR) sentinel-1 SAR flood image classification clustering monsoon Philippines LiDAR geometric parameters levee stability overtopping Pearl River Delta CYGNSS flood detection Sistan and Baluchestan GNSS-R flood monitoring ALOS 2 multi-sensor integration multi-temporal inundation analysis Zambesi-Shire river basin image processing hydrology synthetic aperture radar n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology As climate-change- and human-induced floods inflict increasing costs upon the planet, both in terms of lives and environmental damage, flood monitoring tools derived from remote sensing platforms have undergone improvements in their performance and capabilities in terms of spectral, spatial and temporal extents and resolutions. Such improvements raise new challenges connected to data analysis and interpretation, in terms of, e.g., effectively discerning the presence of floodwaters in different land-cover types and environmental conditions or refining the accuracy of detection algorithms. In this sense, high expectations are placed on new methods that integrate information obtained from multiple techniques, platforms, sensors, bands and acquisition times. Moreover, the assessment of such techniques strongly benefits from collaboration with hydrological and/or hydraulic modeling of the evolution of flood events. The aim of this Special Issue is to provide an overview of recent advancements in the state of the art of flood monitoring methods and techniques derived from remotely sensed data. 2022-08-12T12:53:30Z 2022-08-12T12:53:30Z 2022 book ONIX_20220812_9783036538754_114 9783036538754 9783036538761 https://directory.doabooks.org/handle/20.500.12854/91235 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5881 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3876-1 10.3390/books978-3-0365-3876-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036538754 9783036538761 158 Basel open access |
| spellingShingle | mobile mapping system RRI model high-water marks inundation Northern Kyushu floods point clouds flood mapping temporary flooded vegetation (TFV) Sentinel-1 time series data Synthetic Aperture Radar (SAR) sentinel-1 SAR flood image classification clustering monsoon Philippines LiDAR geometric parameters levee stability overtopping Pearl River Delta CYGNSS flood detection Sistan and Baluchestan GNSS-R flood monitoring ALOS 2 multi-sensor integration multi-temporal inundation analysis Zambesi-Shire river basin image processing hydrology synthetic aperture radar n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology Improving Flood Detection and Monitoring through Remote Sensing |
| title | Improving Flood Detection and Monitoring through Remote Sensing |
| title_full | Improving Flood Detection and Monitoring through Remote Sensing |
| title_fullStr | Improving Flood Detection and Monitoring through Remote Sensing |
| title_full_unstemmed | Improving Flood Detection and Monitoring through Remote Sensing |
| title_short | Improving Flood Detection and Monitoring through Remote Sensing |
| title_sort | improving flood detection and monitoring through remote sensing |
| topic | mobile mapping system RRI model high-water marks inundation Northern Kyushu floods point clouds flood mapping temporary flooded vegetation (TFV) Sentinel-1 time series data Synthetic Aperture Radar (SAR) sentinel-1 SAR flood image classification clustering monsoon Philippines LiDAR geometric parameters levee stability overtopping Pearl River Delta CYGNSS flood detection Sistan and Baluchestan GNSS-R flood monitoring ALOS 2 multi-sensor integration multi-temporal inundation analysis Zambesi-Shire river basin image processing hydrology synthetic aperture radar n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| topic_facet | mobile mapping system RRI model high-water marks inundation Northern Kyushu floods point clouds flood mapping temporary flooded vegetation (TFV) Sentinel-1 time series data Synthetic Aperture Radar (SAR) sentinel-1 SAR flood image classification clustering monsoon Philippines LiDAR geometric parameters levee stability overtopping Pearl River Delta CYGNSS flood detection Sistan and Baluchestan GNSS-R flood monitoring ALOS 2 multi-sensor integration multi-temporal inundation analysis Zambesi-Shire river basin image processing hydrology synthetic aperture radar n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology |
| url | ONIX_20220812_9783036538754_114 |