Determining Shoreline Response to Meteo-oceanographic Events Using Remote Sensing and Unmanned Aerial Vehicle (UAV): Case Study in Southern Brazil
Albuquerque, M.; Alves, D.C.L.; Espinoza, J.M.A.; Oliveira U. R., and Simões R. S., 2018. Determaning shoreline response to meteo-oceanographic events using remote sensing and unmanned aerial vehicle (UAV): case study in southern Brazil. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings f...
Gespeichert in:
Veröffentlicht in: | Journal of coastal research 2018-05, Vol.85 (sp1), p.766-770 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 770 |
---|---|
container_issue | sp1 |
container_start_page | 766 |
container_title | Journal of coastal research |
container_volume | 85 |
creator | Albuquerque, Miguel da G Leal Alves, Deivid C Espinoza, Jean M. de A Oliveira, Ulisses R Simões, Rodrigo S |
description | Albuquerque, M.; Alves, D.C.L.; Espinoza, J.M.A.; Oliveira U. R., and Simões R. S., 2018. Determaning shoreline response to meteo-oceanographic events using remote sensing and unmanned aerial vehicle (UAV): case study in southern Brazil. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 766–770. Coconut Creek (Florida), ISSN 0749-0208. Meteo-oceanographic events are characterized by low pressure centers and intense winds. These systems are responsible for transferring a huge amount of energy from the atmosphere to the ocean that could cause serious socioeconomics damages to the coastal zones. Some of the consequences of these events propagation are an occurrence of large amplitude waves and an increase in the coastal water level. This study aims to characterize the effects of the extratropical cyclone in the southern Brazil occurred in October 2016, seeking a relationship between this event and the recent erosive episodes. Using satellite images and data obtained by unmanned aerial vehicle (UAV), it was possible to trace the shoreline behavior at time intervals, where occurred actions of extratropical cyclones during the year of 2016. The comparison of the shoreline position data, obtained by the image of July 2016, and the UAV (obtained in September and November 2016) presented an approximated shoreline retraction balance of 5.91 m associated for the cyclone that occurred between October 26th and 27th, 2016. This event was associated with synoptic pattern, which have feature cyclogenesis in the Southern Uruguayan coast with a displacement to the east and trajectory between 28° and 43°S, with winds of 17.9 m s−1 and SW direction. Associated with the meteorological aspects, erosive process is frequently accelerated or augmented by anthropogenic action, which is mainly related to building constructions activities and sometimes contributes to the destruction of dunes. After the passage of cyclone there was a partial or total destruction of 40% of beachfront houses and 65% of coastal protection structures. Therefore, this type of study constitutes a basic tool of general interest in the coastal management, contributing to understanding of the impacts and risks associated with the coastal dynamics and effects of the meteo-oceanographic events, along the Soutrhern Brazil. |
doi_str_mv | 10.2112/SI85-154.1 |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_2092495521</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26488321</jstor_id><sourcerecordid>26488321</sourcerecordid><originalsourceid>FETCH-LOGICAL-b350t-3efc3ebd78b0e5f5423958b2fa56b1097321cb200736d90be11b5afe78fd02083</originalsourceid><addsrcrecordid>eNp9kMtKAzEUhoMoWKsb90LAjQqjuUzm4q7WK1QEx7odkpkzNmWa1CQV9DF8YmdacenqcDjf_x_4EDqk5JxRyi6Kh0xEVMTndAsNqBA0EoQn22hA0jiPCCPZLtrzfk4ITbI4HaDvawjgFtpo84aLmXXQagP4GfzSGg84WPzYETayFUhj35xcznSFbz7ABI-nvo89w8IGwAWY9SpNjadmIY2BGo_AadniV-hSLeCT6ej19BKPZVddhFX9ibXBhV2FGTiDr5z80u0-2mlk6-Hgdw7R9PbmZXwfTZ7uHsajSaS4ICHi0FQcVJ1mioBoRMx4LjLFGikSRUmeckYrxQhJeVLnRAGlSsgG0qypexF8iI43vUtn31fgQzm3K2e6lyUjOYtzIRjtqLMNVTnrvYOmXDq9kO6zpKTsnZe987JzXvbw0Qae-2DdH8mSOMv4uuxkc1faWgP_Vf0AsjyK2Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2092495521</pqid></control><display><type>article</type><title>Determining Shoreline Response to Meteo-oceanographic Events Using Remote Sensing and Unmanned Aerial Vehicle (UAV): Case Study in Southern Brazil</title><source>Jstor Complete Legacy</source><creator>Albuquerque, Miguel da G ; Leal Alves, Deivid C ; Espinoza, Jean M. de A ; Oliveira, Ulisses R ; Simões, Rodrigo S</creator><creatorcontrib>Albuquerque, Miguel da G ; Leal Alves, Deivid C ; Espinoza, Jean M. de A ; Oliveira, Ulisses R ; Simões, Rodrigo S</creatorcontrib><description>Albuquerque, M.; Alves, D.C.L.; Espinoza, J.M.A.; Oliveira U. R., and Simões R. S., 2018. Determaning shoreline response to meteo-oceanographic events using remote sensing and unmanned aerial vehicle (UAV): case study in southern Brazil. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 766–770. Coconut Creek (Florida), ISSN 0749-0208. Meteo-oceanographic events are characterized by low pressure centers and intense winds. These systems are responsible for transferring a huge amount of energy from the atmosphere to the ocean that could cause serious socioeconomics damages to the coastal zones. Some of the consequences of these events propagation are an occurrence of large amplitude waves and an increase in the coastal water level. This study aims to characterize the effects of the extratropical cyclone in the southern Brazil occurred in October 2016, seeking a relationship between this event and the recent erosive episodes. Using satellite images and data obtained by unmanned aerial vehicle (UAV), it was possible to trace the shoreline behavior at time intervals, where occurred actions of extratropical cyclones during the year of 2016. The comparison of the shoreline position data, obtained by the image of July 2016, and the UAV (obtained in September and November 2016) presented an approximated shoreline retraction balance of 5.91 m associated for the cyclone that occurred between October 26th and 27th, 2016. This event was associated with synoptic pattern, which have feature cyclogenesis in the Southern Uruguayan coast with a displacement to the east and trajectory between 28° and 43°S, with winds of 17.9 m s−1 and SW direction. Associated with the meteorological aspects, erosive process is frequently accelerated or augmented by anthropogenic action, which is mainly related to building constructions activities and sometimes contributes to the destruction of dunes. After the passage of cyclone there was a partial or total destruction of 40% of beachfront houses and 65% of coastal protection structures. Therefore, this type of study constitutes a basic tool of general interest in the coastal management, contributing to understanding of the impacts and risks associated with the coastal dynamics and effects of the meteo-oceanographic events, along the Soutrhern Brazil.</description><identifier>ISSN: 0749-0208</identifier><identifier>EISSN: 1551-5036</identifier><identifier>DOI: 10.2112/SI85-154.1</identifier><language>eng</language><publisher>Fort Lauderdale: Coastal Education and Research Foundation</publisher><subject>Anthropogenic factors ; Autonomous underwater vehicles ; Beaches ; Case studies ; Coastal engineering ; coastal erosion ; COASTAL HAZARDS ; Coastal management ; Coastal structures ; Coastal waters ; Coastal zone ; Coastal zone management ; Coasts ; Cyclogenesis ; Cyclones ; Destruction ; Dynamics ; Economic factors ; Environmental protection ; Extreme events ; geotechnologies ; Houses ; Human influences ; Low pressure ; Marine geology ; Remote sensing ; Satellite imagery ; Satellites ; Shoreline protection ; Shorelines ; Social factors ; Storms ; Tidal waves ; Unmanned aerial vehicles ; Water levels ; Wave propagation ; Weather ; Wind ; Winds</subject><ispartof>Journal of coastal research, 2018-05, Vol.85 (sp1), p.766-770</ispartof><rights>Coastal Education and Research Foundation, Inc. 2018</rights><rights>Copyright Allen Press Publishing Services 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b350t-3efc3ebd78b0e5f5423958b2fa56b1097321cb200736d90be11b5afe78fd02083</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26488321$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26488321$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Albuquerque, Miguel da G</creatorcontrib><creatorcontrib>Leal Alves, Deivid C</creatorcontrib><creatorcontrib>Espinoza, Jean M. de A</creatorcontrib><creatorcontrib>Oliveira, Ulisses R</creatorcontrib><creatorcontrib>Simões, Rodrigo S</creatorcontrib><title>Determining Shoreline Response to Meteo-oceanographic Events Using Remote Sensing and Unmanned Aerial Vehicle (UAV): Case Study in Southern Brazil</title><title>Journal of coastal research</title><description>Albuquerque, M.; Alves, D.C.L.; Espinoza, J.M.A.; Oliveira U. R., and Simões R. S., 2018. Determaning shoreline response to meteo-oceanographic events using remote sensing and unmanned aerial vehicle (UAV): case study in southern Brazil. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 766–770. Coconut Creek (Florida), ISSN 0749-0208. Meteo-oceanographic events are characterized by low pressure centers and intense winds. These systems are responsible for transferring a huge amount of energy from the atmosphere to the ocean that could cause serious socioeconomics damages to the coastal zones. Some of the consequences of these events propagation are an occurrence of large amplitude waves and an increase in the coastal water level. This study aims to characterize the effects of the extratropical cyclone in the southern Brazil occurred in October 2016, seeking a relationship between this event and the recent erosive episodes. Using satellite images and data obtained by unmanned aerial vehicle (UAV), it was possible to trace the shoreline behavior at time intervals, where occurred actions of extratropical cyclones during the year of 2016. The comparison of the shoreline position data, obtained by the image of July 2016, and the UAV (obtained in September and November 2016) presented an approximated shoreline retraction balance of 5.91 m associated for the cyclone that occurred between October 26th and 27th, 2016. This event was associated with synoptic pattern, which have feature cyclogenesis in the Southern Uruguayan coast with a displacement to the east and trajectory between 28° and 43°S, with winds of 17.9 m s−1 and SW direction. Associated with the meteorological aspects, erosive process is frequently accelerated or augmented by anthropogenic action, which is mainly related to building constructions activities and sometimes contributes to the destruction of dunes. After the passage of cyclone there was a partial or total destruction of 40% of beachfront houses and 65% of coastal protection structures. Therefore, this type of study constitutes a basic tool of general interest in the coastal management, contributing to understanding of the impacts and risks associated with the coastal dynamics and effects of the meteo-oceanographic events, along the Soutrhern Brazil.</description><subject>Anthropogenic factors</subject><subject>Autonomous underwater vehicles</subject><subject>Beaches</subject><subject>Case studies</subject><subject>Coastal engineering</subject><subject>coastal erosion</subject><subject>COASTAL HAZARDS</subject><subject>Coastal management</subject><subject>Coastal structures</subject><subject>Coastal waters</subject><subject>Coastal zone</subject><subject>Coastal zone management</subject><subject>Coasts</subject><subject>Cyclogenesis</subject><subject>Cyclones</subject><subject>Destruction</subject><subject>Dynamics</subject><subject>Economic factors</subject><subject>Environmental protection</subject><subject>Extreme events</subject><subject>geotechnologies</subject><subject>Houses</subject><subject>Human influences</subject><subject>Low pressure</subject><subject>Marine geology</subject><subject>Remote sensing</subject><subject>Satellite imagery</subject><subject>Satellites</subject><subject>Shoreline protection</subject><subject>Shorelines</subject><subject>Social factors</subject><subject>Storms</subject><subject>Tidal waves</subject><subject>Unmanned aerial vehicles</subject><subject>Water levels</subject><subject>Wave propagation</subject><subject>Weather</subject><subject>Wind</subject><subject>Winds</subject><issn>0749-0208</issn><issn>1551-5036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kMtKAzEUhoMoWKsb90LAjQqjuUzm4q7WK1QEx7odkpkzNmWa1CQV9DF8YmdacenqcDjf_x_4EDqk5JxRyi6Kh0xEVMTndAsNqBA0EoQn22hA0jiPCCPZLtrzfk4ITbI4HaDvawjgFtpo84aLmXXQagP4GfzSGg84WPzYETayFUhj35xcznSFbz7ABI-nvo89w8IGwAWY9SpNjadmIY2BGo_AadniV-hSLeCT6ej19BKPZVddhFX9ibXBhV2FGTiDr5z80u0-2mlk6-Hgdw7R9PbmZXwfTZ7uHsajSaS4ICHi0FQcVJ1mioBoRMx4LjLFGikSRUmeckYrxQhJeVLnRAGlSsgG0qypexF8iI43vUtn31fgQzm3K2e6lyUjOYtzIRjtqLMNVTnrvYOmXDq9kO6zpKTsnZe987JzXvbw0Qae-2DdH8mSOMv4uuxkc1faWgP_Vf0AsjyK2Q</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Albuquerque, Miguel da G</creator><creator>Leal Alves, Deivid C</creator><creator>Espinoza, Jean M. de A</creator><creator>Oliveira, Ulisses R</creator><creator>Simões, Rodrigo S</creator><general>Coastal Education and Research Foundation</general><general>COASTAL EDUCATION & RESEARCH FOUNDATION, INC. [CERF]</general><general>Allen Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TN</scope><scope>7U5</scope><scope>7U9</scope><scope>7XB</scope><scope>88I</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M2P</scope><scope>M7N</scope><scope>M7S</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20180501</creationdate><title>Determining Shoreline Response to Meteo-oceanographic Events Using Remote Sensing and Unmanned Aerial Vehicle (UAV): Case Study in Southern Brazil</title><author>Albuquerque, Miguel da G ; Leal Alves, Deivid C ; Espinoza, Jean M. de A ; Oliveira, Ulisses R ; Simões, Rodrigo S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b350t-3efc3ebd78b0e5f5423958b2fa56b1097321cb200736d90be11b5afe78fd02083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Anthropogenic factors</topic><topic>Autonomous underwater vehicles</topic><topic>Beaches</topic><topic>Case studies</topic><topic>Coastal engineering</topic><topic>coastal erosion</topic><topic>COASTAL HAZARDS</topic><topic>Coastal management</topic><topic>Coastal structures</topic><topic>Coastal waters</topic><topic>Coastal zone</topic><topic>Coastal zone management</topic><topic>Coasts</topic><topic>Cyclogenesis</topic><topic>Cyclones</topic><topic>Destruction</topic><topic>Dynamics</topic><topic>Economic factors</topic><topic>Environmental protection</topic><topic>Extreme events</topic><topic>geotechnologies</topic><topic>Houses</topic><topic>Human influences</topic><topic>Low pressure</topic><topic>Marine geology</topic><topic>Remote sensing</topic><topic>Satellite imagery</topic><topic>Satellites</topic><topic>Shoreline protection</topic><topic>Shorelines</topic><topic>Social factors</topic><topic>Storms</topic><topic>Tidal waves</topic><topic>Unmanned aerial vehicles</topic><topic>Water levels</topic><topic>Wave propagation</topic><topic>Weather</topic><topic>Wind</topic><topic>Winds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Albuquerque, Miguel da G</creatorcontrib><creatorcontrib>Leal Alves, Deivid C</creatorcontrib><creatorcontrib>Espinoza, Jean M. de A</creatorcontrib><creatorcontrib>Oliveira, Ulisses R</creatorcontrib><creatorcontrib>Simões, Rodrigo S</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of coastal research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Albuquerque, Miguel da G</au><au>Leal Alves, Deivid C</au><au>Espinoza, Jean M. de A</au><au>Oliveira, Ulisses R</au><au>Simões, Rodrigo S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining Shoreline Response to Meteo-oceanographic Events Using Remote Sensing and Unmanned Aerial Vehicle (UAV): Case Study in Southern Brazil</atitle><jtitle>Journal of coastal research</jtitle><date>2018-05-01</date><risdate>2018</risdate><volume>85</volume><issue>sp1</issue><spage>766</spage><epage>770</epage><pages>766-770</pages><issn>0749-0208</issn><eissn>1551-5036</eissn><abstract>Albuquerque, M.; Alves, D.C.L.; Espinoza, J.M.A.; Oliveira U. R., and Simões R. S., 2018. Determaning shoreline response to meteo-oceanographic events using remote sensing and unmanned aerial vehicle (UAV): case study in southern Brazil. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 766–770. Coconut Creek (Florida), ISSN 0749-0208. Meteo-oceanographic events are characterized by low pressure centers and intense winds. These systems are responsible for transferring a huge amount of energy from the atmosphere to the ocean that could cause serious socioeconomics damages to the coastal zones. Some of the consequences of these events propagation are an occurrence of large amplitude waves and an increase in the coastal water level. This study aims to characterize the effects of the extratropical cyclone in the southern Brazil occurred in October 2016, seeking a relationship between this event and the recent erosive episodes. Using satellite images and data obtained by unmanned aerial vehicle (UAV), it was possible to trace the shoreline behavior at time intervals, where occurred actions of extratropical cyclones during the year of 2016. The comparison of the shoreline position data, obtained by the image of July 2016, and the UAV (obtained in September and November 2016) presented an approximated shoreline retraction balance of 5.91 m associated for the cyclone that occurred between October 26th and 27th, 2016. This event was associated with synoptic pattern, which have feature cyclogenesis in the Southern Uruguayan coast with a displacement to the east and trajectory between 28° and 43°S, with winds of 17.9 m s−1 and SW direction. Associated with the meteorological aspects, erosive process is frequently accelerated or augmented by anthropogenic action, which is mainly related to building constructions activities and sometimes contributes to the destruction of dunes. After the passage of cyclone there was a partial or total destruction of 40% of beachfront houses and 65% of coastal protection structures. Therefore, this type of study constitutes a basic tool of general interest in the coastal management, contributing to understanding of the impacts and risks associated with the coastal dynamics and effects of the meteo-oceanographic events, along the Soutrhern Brazil.</abstract><cop>Fort Lauderdale</cop><pub>Coastal Education and Research Foundation</pub><doi>10.2112/SI85-154.1</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0749-0208 |
ispartof | Journal of coastal research, 2018-05, Vol.85 (sp1), p.766-770 |
issn | 0749-0208 1551-5036 |
language | eng |
recordid | cdi_proquest_journals_2092495521 |
source | Jstor Complete Legacy |
subjects | Anthropogenic factors Autonomous underwater vehicles Beaches Case studies Coastal engineering coastal erosion COASTAL HAZARDS Coastal management Coastal structures Coastal waters Coastal zone Coastal zone management Coasts Cyclogenesis Cyclones Destruction Dynamics Economic factors Environmental protection Extreme events geotechnologies Houses Human influences Low pressure Marine geology Remote sensing Satellite imagery Satellites Shoreline protection Shorelines Social factors Storms Tidal waves Unmanned aerial vehicles Water levels Wave propagation Weather Wind Winds |
title | Determining Shoreline Response to Meteo-oceanographic Events Using Remote Sensing and Unmanned Aerial Vehicle (UAV): Case Study in Southern Brazil |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T08%3A30%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determining%20Shoreline%20Response%20to%20Meteo-oceanographic%20Events%20Using%20Remote%20Sensing%20and%20Unmanned%20Aerial%20Vehicle%20(UAV):%20Case%20Study%20in%20Southern%20Brazil&rft.jtitle=Journal%20of%20coastal%20research&rft.au=Albuquerque,%20Miguel%20da%20G&rft.date=2018-05-01&rft.volume=85&rft.issue=sp1&rft.spage=766&rft.epage=770&rft.pages=766-770&rft.issn=0749-0208&rft.eissn=1551-5036&rft_id=info:doi/10.2112/SI85-154.1&rft_dat=%3Cjstor_proqu%3E26488321%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2092495521&rft_id=info:pmid/&rft_jstor_id=26488321&rfr_iscdi=true |