Remote Sensing in Coastline Detection
Coastal environments are dynamic ecosystems, where erosion is influenced by meteorological/climatic, geological, biological, and anthropic factors. Erosion has worrying effects on the environment, infrastructure, lifelines, and buildings. Furthermore, climate change is exacerbating an already fragil...
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| Format: | Book Chapter |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 03767naaaa2200829uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_69146 | ||
| 005 | 20210501 | ||
| 020 | |a books978-3-03936-837-2 | ||
| 020 | |a 9783039368365 | ||
| 020 | |a 9783039368372 | ||
| 024 | 7 | |a 10.3390/books978-3-03936-837-2 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a TBX |2 bicssc | |
| 100 | 1 | |a Dominici, Donatella |4 edt | |
| 700 | 1 | |a Dominici, Donatella |4 oth | |
| 245 | 1 | 0 | |a Remote Sensing in Coastline Detection |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 electronic resource (138 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Coastal environments are dynamic ecosystems, where erosion is influenced by meteorological/climatic, geological, biological, and anthropic factors. Erosion has worrying effects on the environment, infrastructure, lifelines, and buildings. Furthermore, climate change is exacerbating an already fragile situation. We are witnessing a high-risk situation and are convinced that this is the most appropriate time to focus on state-of-the-art remote sensing techniques for shoreline monitoring. The improvements in the spatial and spectral resolution of current and next generation satellite-based sensors and the significant progress in the spatial data processing identify remote sensing techniques that increase our knowledge of territory and coastline. This Special Issue aims to highlight an overview of all multiscale remote sensing techniques (e.g., high resolution images, photogrammetry, SAR, etc.) and a whole array of methods and techniques that process, analyse, and discuss multitemporal remotely sensed data. Thank you to all of our contributors and authors for their interesting and illuminating studies. Since this topic is complex and dynamic, we hope to develop this research with future works to form more cutting-edge studies. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a History of engineering & technology |2 bicssc | |
| 653 | |a DGPS measurements | ||
| 653 | |a video camera observation | ||
| 653 | |a shoreline position | ||
| 653 | |a beach survey | ||
| 653 | |a Sentinel-2 | ||
| 653 | |a Remote Sensing | ||
| 653 | |a habitat mapping | ||
| 653 | |a mangroves | ||
| 653 | |a coral reefs | ||
| 653 | |a climate change | ||
| 653 | |a vulnerable habitats | ||
| 653 | |a side-scan sonar | ||
| 653 | |a swath bathymetry | ||
| 653 | |a habitat monitoring | ||
| 653 | |a hurricane Sandy | ||
| 653 | |a hurricane Joaquin | ||
| 653 | |a shoreline detection | ||
| 653 | |a remote sensing | ||
| 653 | |a WorldView-2 | ||
| 653 | |a Abruzzo | ||
| 653 | |a multispectral classification | ||
| 653 | |a shoreline | ||
| 653 | |a coastline | ||
| 653 | |a satellite images | ||
| 653 | |a synthetic aperture radar (SAR) | ||
| 653 | |a Sentinel-1 | ||
| 653 | |a shoreline extraction | ||
| 653 | |a coastline extraction | ||
| 653 | |a active connection matrix (ACM) | ||
| 653 | |a J-Net Dynamic | ||
| 653 | |a edge detection | ||
| 653 | |a canny edge detector | ||
| 653 | |a coastline mapping | ||
| 653 | |a geomatics | ||
| 653 | |a SfM photogrammetry | ||
| 653 | |a network RTK | ||
| 653 | |a sea level rise | ||
| 653 | |a coastlines | ||
| 653 | |a 2100 | ||
| 653 | |a storm surges | ||
| 653 | |a heritage sites | ||
| 653 | |a Pyrgi | ||
| 653 | |a Mediterranean | ||
| 653 | |a UAV | ||
| 653 | |a DSM | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2918 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69146 |7 0 |z DOAB: description of the publication |