Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring
This Special Issue collates seven papers regarding the assessment or monitoring of hydrological disasters such as droughts and flood using remote sensing and geography information system (GIS) techniques.. The new published research focused on evaluations and models of various hydrological hazards s...
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| Format: | Online |
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| Sprache: | Englisch |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online-Zugang: | ONIX_20230511_9783036571461_99 |
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| collection | Directory of Open Access Books |
| description | This Special Issue collates seven papers regarding the assessment or monitoring of hydrological disasters such as droughts and flood using remote sensing and geography information system (GIS) techniques.. The new published research focused on evaluations and models of various hydrological hazards such as droughts and floods. Furthermore, we include two original scientific articles addressing the subject of water quality. This Special Issue received investigations based on different techniques such as remote sensing, GIS, machine learning and monitoring. All papers present findings characterized as unconventional, provocative, innovative and methodologically new. Scientific findings presented in this Special Issue highlight how a combination of various modern analysis techniques (e.g., remote sensing, GIS) can improve our understanding of complex hydrological hazards such as droughts and floods. We hope that the research contained within this Special Issue is useful to the scientific community, policymakers and stakeholders at large in the field of hydrological hazards. |
| format | Online |
| id | doab-20.500.12854ir-100082 |
| 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-1000822024-04-11T15:11:04Z Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring Huang, Yaohuan Liu, Yesen Shi, Runhe Ren, Hongyan GRACE drought mainland China extreme climate climatic conditions urban floods rainfall movement direction (RMD) rainfall intensity (RI) peak runoff Linear Directional Mean (LDM) Shenzhen flood forecasting error correction residual property ridge coefficient criterion rainstorm mode high dimension dimension reduction cluster surface water monitoring history change trends in surface water quality water quality protection “Thirteenth Five-Year Plan” period water environment quality Heilongjiang Province correlation analysis manifold learning machine learning spatial–temporal distribution of rainstorms feature extraction Beijing 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 This Special Issue collates seven papers regarding the assessment or monitoring of hydrological disasters such as droughts and flood using remote sensing and geography information system (GIS) techniques.. The new published research focused on evaluations and models of various hydrological hazards such as droughts and floods. Furthermore, we include two original scientific articles addressing the subject of water quality. This Special Issue received investigations based on different techniques such as remote sensing, GIS, machine learning and monitoring. All papers present findings characterized as unconventional, provocative, innovative and methodologically new. Scientific findings presented in this Special Issue highlight how a combination of various modern analysis techniques (e.g., remote sensing, GIS) can improve our understanding of complex hydrological hazards such as droughts and floods. We hope that the research contained within this Special Issue is useful to the scientific community, policymakers and stakeholders at large in the field of hydrological hazards. 2023-05-11T17:19:57Z 2023-05-11T17:19:57Z 2023 book ONIX_20230511_9783036571461_99 9783036571461 9783036571478 https://directory.doabooks.org/handle/20.500.12854/100082 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7175 https://mdpi.com/books/pdfview/book/7175 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7147-8 10.3390/books978-3-0365-7147-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036571461 9783036571478 128 Basel open access |
| spellingShingle | GRACE drought mainland China extreme climate climatic conditions urban floods rainfall movement direction (RMD) rainfall intensity (RI) peak runoff Linear Directional Mean (LDM) Shenzhen flood forecasting error correction residual property ridge coefficient criterion rainstorm mode high dimension dimension reduction cluster surface water monitoring history change trends in surface water quality water quality protection “Thirteenth Five-Year Plan” period water environment quality Heilongjiang Province correlation analysis manifold learning machine learning spatial–temporal distribution of rainstorms feature extraction Beijing 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 Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring |
| title | Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring |
| title_full | Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring |
| title_fullStr | Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring |
| title_full_unstemmed | Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring |
| title_short | Application of Remote Sensing and GIS in Droughts and Floods Assessment and Monitoring |
| title_sort | application of remote sensing and gis in droughts and floods assessment and monitoring |
| topic | GRACE drought mainland China extreme climate climatic conditions urban floods rainfall movement direction (RMD) rainfall intensity (RI) peak runoff Linear Directional Mean (LDM) Shenzhen flood forecasting error correction residual property ridge coefficient criterion rainstorm mode high dimension dimension reduction cluster surface water monitoring history change trends in surface water quality water quality protection “Thirteenth Five-Year Plan” period water environment quality Heilongjiang Province correlation analysis manifold learning machine learning spatial–temporal distribution of rainstorms feature extraction Beijing 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 | GRACE drought mainland China extreme climate climatic conditions urban floods rainfall movement direction (RMD) rainfall intensity (RI) peak runoff Linear Directional Mean (LDM) Shenzhen flood forecasting error correction residual property ridge coefficient criterion rainstorm mode high dimension dimension reduction cluster surface water monitoring history change trends in surface water quality water quality protection “Thirteenth Five-Year Plan” period water environment quality Heilongjiang Province correlation analysis manifold learning machine learning spatial–temporal distribution of rainstorms feature extraction Beijing 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_20230511_9783036571461_99 |