Remote Sensing Analysis of Geologic Hazards
In recent decades, classical survey approaches have evolved and with the advent of new technologies and platforms, remote sensing systems have become popular and widely used in geosciences. Contactless devices are not invasive and allow for measuring without accessing the investigated area. This is...
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| Format: | Online |
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| Jezik: | angleščina |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online dostop: | ONIX_20221206_9783036556994_52 |
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| _version_ | 1869520766061510656 |
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| collection | Directory of Open Access Books |
| description | In recent decades, classical survey approaches have evolved and with the advent of new technologies and platforms, remote sensing systems have become popular and widely used in geosciences. Contactless devices are not invasive and allow for measuring without accessing the investigated area. This is an excellent advantage as earth surface processes often occur in remote areas and can be potentially dangerous or difficult to access. Satellite remote sensing offers the possibility of using multi-band high-resolution data over large areas. Therefore, it can be of great support for natural risk monitoring and analysis at a regional scale. On the other hand, terrestrial systems feature high spatial and temporal resolutions, which can assist in observing the evolution of fast and potentially dangerous phenomena. Therefore, proximal sensing systems are of great value for risk assessment and early warning procedures of natural hazards. This book focuses on recent and upcoming advances in the remote and proximal sensing monitoring of geologic hazards, warning procedures, and new data-processing techniques. |
| format | Online |
| id | doab-20.500.12854ir-94529 |
| 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-945292024-03-28T03:31:35Z Remote Sensing Analysis of Geologic Hazards Giordan, Daniele Luzi, Guido Monserrat, Oriol Dematteis, Niccolò multi-temporal interferometry mining salt dissolution MTInSAR sinkholes digital image correlation template matching natural hazards surface deformations optical remote sensing time-lapse camera 3D point cloud voxels supervoxels rock slope management classification knowledge extraction semantics object-oriented change detection Fengfeng mine mining deformation monitoring MSBAS multiplatform SAR data dense vegetation threshold landslide early warning system velocity water level GNSS lava volcanoes PlanetScope object-based image analysis SAR interferometry slope instability ground stability monitoring Sentinel-1 COSMO-SkyMed time series analysis rainfall-triggered landslides tropics statistical analysis CHIRPS multi-temporal image composite Jølster landslide database Sentinel-2 Google Earth Engine NDVI glacial landscape evolution characteristics state of activity earthquake rainfall the Bailong River basin n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography In recent decades, classical survey approaches have evolved and with the advent of new technologies and platforms, remote sensing systems have become popular and widely used in geosciences. Contactless devices are not invasive and allow for measuring without accessing the investigated area. This is an excellent advantage as earth surface processes often occur in remote areas and can be potentially dangerous or difficult to access. Satellite remote sensing offers the possibility of using multi-band high-resolution data over large areas. Therefore, it can be of great support for natural risk monitoring and analysis at a regional scale. On the other hand, terrestrial systems feature high spatial and temporal resolutions, which can assist in observing the evolution of fast and potentially dangerous phenomena. Therefore, proximal sensing systems are of great value for risk assessment and early warning procedures of natural hazards. This book focuses on recent and upcoming advances in the remote and proximal sensing monitoring of geologic hazards, warning procedures, and new data-processing techniques. 2022-12-06T16:10:10Z 2022-12-06T16:10:10Z 2022 book ONIX_20221206_9783036556994_52 9783036556994 9783036557007 https://directory.doabooks.org/handle/20.500.12854/94529 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6361 https://mdpi.com/books/pdfview/book/6361 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5700-7 10.3390/books978-3-0365-5700-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036556994 9783036557007 254 Basel open access |
| spellingShingle | multi-temporal interferometry mining salt dissolution MTInSAR sinkholes digital image correlation template matching natural hazards surface deformations optical remote sensing time-lapse camera 3D point cloud voxels supervoxels rock slope management classification knowledge extraction semantics object-oriented change detection Fengfeng mine mining deformation monitoring MSBAS multiplatform SAR data dense vegetation threshold landslide early warning system velocity water level GNSS lava volcanoes PlanetScope object-based image analysis SAR interferometry slope instability ground stability monitoring Sentinel-1 COSMO-SkyMed time series analysis rainfall-triggered landslides tropics statistical analysis CHIRPS multi-temporal image composite Jølster landslide database Sentinel-2 Google Earth Engine NDVI glacial landscape evolution characteristics state of activity earthquake rainfall the Bailong River basin n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Remote Sensing Analysis of Geologic Hazards |
| title | Remote Sensing Analysis of Geologic Hazards |
| title_full | Remote Sensing Analysis of Geologic Hazards |
| title_fullStr | Remote Sensing Analysis of Geologic Hazards |
| title_full_unstemmed | Remote Sensing Analysis of Geologic Hazards |
| title_short | Remote Sensing Analysis of Geologic Hazards |
| title_sort | remote sensing analysis of geologic hazards |
| topic | multi-temporal interferometry mining salt dissolution MTInSAR sinkholes digital image correlation template matching natural hazards surface deformations optical remote sensing time-lapse camera 3D point cloud voxels supervoxels rock slope management classification knowledge extraction semantics object-oriented change detection Fengfeng mine mining deformation monitoring MSBAS multiplatform SAR data dense vegetation threshold landslide early warning system velocity water level GNSS lava volcanoes PlanetScope object-based image analysis SAR interferometry slope instability ground stability monitoring Sentinel-1 COSMO-SkyMed time series analysis rainfall-triggered landslides tropics statistical analysis CHIRPS multi-temporal image composite Jølster landslide database Sentinel-2 Google Earth Engine NDVI glacial landscape evolution characteristics state of activity earthquake rainfall the Bailong River basin n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| topic_facet | multi-temporal interferometry mining salt dissolution MTInSAR sinkholes digital image correlation template matching natural hazards surface deformations optical remote sensing time-lapse camera 3D point cloud voxels supervoxels rock slope management classification knowledge extraction semantics object-oriented change detection Fengfeng mine mining deformation monitoring MSBAS multiplatform SAR data dense vegetation threshold landslide early warning system velocity water level GNSS lava volcanoes PlanetScope object-based image analysis SAR interferometry slope instability ground stability monitoring Sentinel-1 COSMO-SkyMed time series analysis rainfall-triggered landslides tropics statistical analysis CHIRPS multi-temporal image composite Jølster landslide database Sentinel-2 Google Earth Engine NDVI glacial landscape evolution characteristics state of activity earthquake rainfall the Bailong River basin n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| url | ONIX_20221206_9783036556994_52 |