Landslides in Forests around the World
This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identificat...
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Aiheet: | |
| Linkit: | ONIX_20230623_9783036575070_20 |
| Tagit: |
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| _version_ | 1869518538084974592 |
|---|---|
| collection | Directory of Open Access Books |
| description | This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identification of regional landslides, susceptibility and hazard assessment, and a rainfall-induced mass landslide warning. |
| format | Online |
| id | doab-20.500.12854ir-100788 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1007882024-03-28T03:30:38Z Landslides in Forests around the World Wen, Haijia Li, Weile Xu, Chong Daimaru, Hiromu shallow landslide probability of occurrence typhoon data-driven model Ningguo City landslide susceptibility antecedent effective precipitation daily precipitation hybrid landslide warning model multibaseline InSAR techniques Guang’an Village Landslide InSAR time-series analysis post-event deformation mapping root-soil composite root reinforcement coefficient shear strength parameters root distribution angle root diameter landslide susceptibility mapping random forest model qualitative analysis quantitative evaluation Yunyang County granular flow ring-shear test fluctuation characteristics landslide susceptibility tree species age group woodland type forest origin YOLOv3 deep learning automatic landslide identification remote sensing image flexible rockfall barrier energy capacity landslide debris field investigation coupled numerical simulation land-use suitability Hechuan District landslide susceptibility assessment machine learning Three Gorges Reservoir area early-warning model Random Forest model study nucleation process waveform similarity repeating earthquakes neighboring earthquakes reinforcement of roots slope stability growth and decay Japanese cedar trees shallow landslides n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identification of regional landslides, susceptibility and hazard assessment, and a rainfall-induced mass landslide warning. 2023-06-23T09:41:44Z 2023-06-23T09:41:44Z 2023 book ONIX_20230623_9783036575070_20 9783036575070 9783036575063 https://directory.doabooks.org/handle/20.500.12854/100788 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7250 https://mdpi.com/books/pdfview/book/7250 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7506-3 10.3390/books978-3-0365-7506-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036575070 9783036575063 276 Basel open access |
| spellingShingle | shallow landslide probability of occurrence typhoon data-driven model Ningguo City landslide susceptibility antecedent effective precipitation daily precipitation hybrid landslide warning model multibaseline InSAR techniques Guang’an Village Landslide InSAR time-series analysis post-event deformation mapping root-soil composite root reinforcement coefficient shear strength parameters root distribution angle root diameter landslide susceptibility mapping random forest model qualitative analysis quantitative evaluation Yunyang County granular flow ring-shear test fluctuation characteristics landslide susceptibility tree species age group woodland type forest origin YOLOv3 deep learning automatic landslide identification remote sensing image flexible rockfall barrier energy capacity landslide debris field investigation coupled numerical simulation land-use suitability Hechuan District landslide susceptibility assessment machine learning Three Gorges Reservoir area early-warning model Random Forest model study nucleation process waveform similarity repeating earthquakes neighboring earthquakes reinforcement of roots slope stability growth and decay Japanese cedar trees shallow landslides n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics Landslides in Forests around the World |
| title | Landslides in Forests around the World |
| title_full | Landslides in Forests around the World |
| title_fullStr | Landslides in Forests around the World |
| title_full_unstemmed | Landslides in Forests around the World |
| title_short | Landslides in Forests around the World |
| title_sort | landslides in forests around the world |
| topic | shallow landslide probability of occurrence typhoon data-driven model Ningguo City landslide susceptibility antecedent effective precipitation daily precipitation hybrid landslide warning model multibaseline InSAR techniques Guang’an Village Landslide InSAR time-series analysis post-event deformation mapping root-soil composite root reinforcement coefficient shear strength parameters root distribution angle root diameter landslide susceptibility mapping random forest model qualitative analysis quantitative evaluation Yunyang County granular flow ring-shear test fluctuation characteristics landslide susceptibility tree species age group woodland type forest origin YOLOv3 deep learning automatic landslide identification remote sensing image flexible rockfall barrier energy capacity landslide debris field investigation coupled numerical simulation land-use suitability Hechuan District landslide susceptibility assessment machine learning Three Gorges Reservoir area early-warning model Random Forest model study nucleation process waveform similarity repeating earthquakes neighboring earthquakes reinforcement of roots slope stability growth and decay Japanese cedar trees shallow landslides n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| topic_facet | shallow landslide probability of occurrence typhoon data-driven model Ningguo City landslide susceptibility antecedent effective precipitation daily precipitation hybrid landslide warning model multibaseline InSAR techniques Guang’an Village Landslide InSAR time-series analysis post-event deformation mapping root-soil composite root reinforcement coefficient shear strength parameters root distribution angle root diameter landslide susceptibility mapping random forest model qualitative analysis quantitative evaluation Yunyang County granular flow ring-shear test fluctuation characteristics landslide susceptibility tree species age group woodland type forest origin YOLOv3 deep learning automatic landslide identification remote sensing image flexible rockfall barrier energy capacity landslide debris field investigation coupled numerical simulation land-use suitability Hechuan District landslide susceptibility assessment machine learning Three Gorges Reservoir area early-warning model Random Forest model study nucleation process waveform similarity repeating earthquakes neighboring earthquakes reinforcement of roots slope stability growth and decay Japanese cedar trees shallow landslides n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| url | ONIX_20230623_9783036575070_20 |