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Integrating Bayesian networks to forecast sea-level rise impacts on barrier island characteristics and habitat availability / Benjamin T. Gutierrez in Earth and space science, vol 9 n° 11 (November 2022)
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Titre : Integrating Bayesian networks to forecast sea-level rise impacts on barrier island characteristics and habitat availability Type de document : Article/Communication Auteurs : Benjamin T. Gutierrez, Auteur ; Sarah Zeigler, Auteur ; Erika Lentz, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : 24 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de sensibilité
[Termes IGN] changement climatique
[Termes IGN] géomorphologie
[Termes IGN] habitat animal
[Termes IGN] île
[Termes IGN] modèle de simulation
[Termes IGN] montée du niveau de la mer
[Termes IGN] New York (Etats-Unis ; ville)
[Termes IGN] planification côtière
[Termes IGN] réseau bayesien
[Termes IGN] submersion marine
[Termes IGN] surveillance du littoral
[Termes IGN] trait de côteRésumé : (auteur) Evaluation of sea-level rise (SLR) impacts on coastal landforms and habitats is a persistent need for informing coastal planning and management, including policy decisions, particularly those that balance human interests and habitat protection throughout the coastal zone. Bayesian networks (BNs) are used to model barrier island change under different SLR scenarios that are relevant to management and policy decisions. BNs utilized here include a shoreline change model and two models of barrier island biogeomorphological evolution at different scales (50 and 5 m). These BNs were then linked to another BN to predict habitat availability for piping plovers (Charadrius melodus), a threatened shorebird reliant on beach habitats. We evaluated the performance of the two linked geomorphology BNs and further examined error rates by generating hindcasts of barrier island geomorphology and habitat availability for 2014 conditions. Geomorphology hindcasts revealed that model error declined with a greater number of known inputs, with error rates reaching 55% when multiple outputs were hindcast simultaneously. We also found that, although error in predictions of piping plover nest presence/absence increased when outputs from the geomorphology BNs were used as inputs in the piping plover habitat BN, the maximum error rate for piping plover habitat suitability in the fully-linked BNs was only 30%. Our findings suggest this approach may be useful for guiding scenario-based evaluations where known inputs can be used to constrain variables that produce higher uncertainty for morphological predictions. Overall, the approach demonstrates a way to assimilate data and model structures with uncertainty to produce forecasts to inform coastal planning and management. Numéro de notice : A2022-883 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1029/2022EA002286 Date de publication en ligne : 14/10/2022 En ligne : https://doi.org/10.1029/2022EA002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102024
in Earth and space science > vol 9 n° 11 (November 2022) . - 24 p.[article]Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand / Kiatkulchai Jitt-Aer in Natural Hazards, vol 113 n° 1 (August 2022)
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Titre : Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand Type de document : Article/Communication Auteurs : Kiatkulchai Jitt-Aer, Auteur ; Graham Wall, Auteur ; Dylan Jones, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 185 - 211 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse spatiale
[Termes IGN] ArcGIS
[Termes IGN] figuration de la densité
[Termes IGN] gestion de crise
[Termes IGN] interpolation spatiale
[Termes IGN] planification côtière
[Termes IGN] population
[Termes IGN] prévention des risques
[Termes IGN] Thaïlande
[Termes IGN] tsunamiRésumé : (auteur) The 2004 Indian Ocean tsunami led to improvements in Thailand’s early warning systems and evacuation procedures. However, there was no consideration of better aid delivery, which critically depends on estimates of the affected population. With the widespread use of geographical information systems (GIS), there has been renewed interest in spatial population estimation. This study has developed an application to determine the number of disaster-impacted people in a given district, by integrating GIS and population estimation algorithms, to facilitate humanitarian relief logistics. A multi-stage spatial interpolation is used for estimating the affected populations using ArcGIS software. We present a dasymetric mapping approach using a population-weighted technique coupled with remote sensing data. The results in each target area show the coordinates of each shelter location for evacuees, with the minimum and maximum numbers of people affected by the tsunami inundation. This innovative tool produces not only numerical solutions for decision makers, but also a variety of maps that improve visualisation of disaster severity across neighbourhoods. A case study in Patong, a town of Phuket, illustrates the application of this GIS-based approach. The outcomes can be used as key decision-making factors in planning and managing humanitarian relief logistics in the preparedness and response phases to improve performance with future tsunami occurrences, or with other types of flood disaster. Numéro de notice : A2022-703 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s11069-022-05295-x Date de publication en ligne : 09/03/2022 En ligne : https://doi.org/10.1007/s11069-022-05295-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101566
in Natural Hazards > vol 113 n° 1 (August 2022) . - pp 185 - 211[article]
Titre : Climate change adaptation in coastal cities Type de document : Monographie Auteurs : David Major, Auteur ; Sirkku Juhola, Auteur Editeur : Helsinki University Press Année de publication : 2021 Importance : 202 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-952-369-025-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Atmosphère
[Termes IGN] changement climatique
[Termes IGN] développement durable
[Termes IGN] modèle météorologique
[Termes IGN] planification côtière
[Termes IGN] prospectiveRésumé : (éditeur) This guidebook presents a framework for climate adaptation planning for coastal cities, large and small, focused on the central roles of citizens, public officials, and planners. The book is designed to help all stakeholders in coastal cities understand and develop effective adaptation measures in a sustainable way. Within a framework of eight key planning steps, guidance is provided for stakeholders in the adaptation process from initial assessments of climate impacts to final planning. The work sets out general principles and methods of adaptation to climate change for many types of coastal communities. Adaptation is seen throughout the work as a process that should take into account all coastal assets, including economic, environmental, social, cultural and historical assets, with due attention to disadvantaged communities. Among the adaptation elements covered in the book are: a review of the current climate situation; climate impacts and vulnerabilities; climate models and future scenarios; physical, economic, social and other characteristics of coastal cities and towns; the range of available adaptations, including management, infrastructure, and policy adaptations; evaluation of projects and programs; and working together to develop and finance adaptations. Numerous tables are presented to help organize information and guide planning, and examples of adaptation challenges and opportunities are provided from both developed and developing coastal cities and towns. The volume is copiously illustrated, with extensive up-to-date references to provide the reader with additional sources of information. Note de contenu : 1- Introduction and overview
2- Adaptation assessment steps and the roles of citizens, public officials, and planners
3- Impacts and vulnerabilities of climate change on coastal cities
4- Using climate information global climate models and climate scenarios
5- Coastal cities and towns characteristics and challenges
6- The range of adaptations to climate change
7- Evaluation of projects and programs
8- Getting it done working together to develop and finance adaptations
9- Future prospectsNuméro de notice : 28493 Affiliation des auteurs : non IGN Nature : Monographie DOI : 10.33134/HUP-6 En ligne : https://doi.org/10.33134/HUP-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99221
Titre : Remote sensing applications in coastal environment Type de document : Monographie Auteurs : Pawel Terefenko, Éditeur scientifique ; Jacek Lubczonek, Éditeur scientifique ; Dominik Paprotny, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 282 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-0365-2612-6 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] Baltique, mer
[Termes IGN] carte thématique
[Termes IGN] données bathymétriques
[Termes IGN] données lidar
[Termes IGN] érosion côtière
[Termes IGN] falaise
[Termes IGN] image satellite
[Termes IGN] littoral
[Termes IGN] Miami
[Termes IGN] montée du niveau de la mer
[Termes IGN] photographie aérienne
[Termes IGN] planification côtière
[Termes IGN] surveillance du littoral
[Termes IGN] trait de côteRésumé : (éditeur) Coastal regions are susceptible to rapid changes, as they constitute the boundary between the land and the sea. The resilience of a particular segment of coast depends on many factors, including climate change, sea-level changes, natural and technological hazards, extraction of natural resources, population growth, and tourism. Recent research highlights the strong capabilities for remote sensing applications to monitor, inventory, and analyze the coastal environment. This book contains 12 high-quality and innovative scientific papers that explore, evaluate, and implement the use of remote sensing sensors within both natural and built coastal environments. Note de contenu : 1- Monitoring the coastal changes of the Po River Delta (Northern Italy) since 1911 using archival cartography, multi-temporal aerial photogrammetry and LiDAR data: Implications for coastline changes in 2100 A.D.
2- Autonomous Lidar-based monitoring of coastal lagoon entrances
3- Land cover changes and flows in the Polish Baltic coastal zone: A qualitative and quantitative approach
4- Determining long-term land cover dynamics in the South Baltic coastal zone from historical aerial photographs
5- Mapping coastal dune landscape through spectral Rao’s Q temporal diversity
6- Measuring surface moisture on a sandy beach based on corrected intensity data of a mobile terrestrial LiDAR
7- Multi-temporal cliff erosion analysis using Airborne Laser Scanning surveys
8- Application of multiple geomatic techniques for coastline retreat analysis: The case of Gerra beach (Cantabrian coast, Spain)
9- The reduction method of bathymetric datasets that preserves true geodata
10- Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment
11- Combining satellite imagery and numerical modelling to study the occurrence of warm upwellings in the Southern Baltic Sea in winter
12- Quantifying spatiotemporal patterns and major explanatory factors of urban expansion in Miami Metropolitan Area during 1992–2016Numéro de notice : 28641 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2612-6 En ligne : https://doi.org/10.3390/books978-3-0365-2612-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99725 On the use of Sentinel-2 for coastal habitat mapping and satellite-derived bathymetry estimation using downscaled coastal aerosol band / Dimitris Poursanidis in International journal of applied Earth observation and geoinformation, vol 80 (August 2019)
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Titre : On the use of Sentinel-2 for coastal habitat mapping and satellite-derived bathymetry estimation using downscaled coastal aerosol band Type de document : Article/Communication Auteurs : Dimitris Poursanidis, Auteur ; Dimosthenis Traganos, Auteur ; Peter Reinartz, Auteur ; Nektarios Chrysoulakis, Auteur Année de publication : 2019 Article en page(s) : pp 58-70 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] algue
[Termes IGN] aménagement du littoral
[Termes IGN] bande spectrale
[Termes IGN] changement climatique
[Termes IGN] Copernicus (programme européen)
[Termes IGN] distribution spatiale
[Termes IGN] données bathymétriques
[Termes IGN] habitat (nature)
[Termes IGN] herbier marin
[Termes IGN] image Sentinel-MSI
[Termes IGN] littoral méditerranéen
[Termes IGN] planification côtièreRésumé : (auteur) Coastal habitats provide a plethora of ecosystem services, yet they undergo continuous pressure and degradation due to the human-induced climate change. Conservation and management imply continuous monitoring and mapping of their spatial distribution at first. The present study explores the capabilities of the Copernicus Sentinel-2 mission and the contribution of its coastal aerosol band 1 (443 nm) for the mapping of the dominant Mediterranean coastal marine habitats and the bathymetry in three survey sites in the East Mediterranean. The selected sites have shallow to deep habitats and a high variability of oceanographic and seabed morphological conditions. The major findings of our study demonstrate the advantages of the downscaled Sentinel-2 coastal aerosol band 1 for both optically shallow habitat and satellite-derived bathymetry mapping due to its great water penetration. The use of Sentinel-2 band 1 allows detection of Posidonia oceanica seagrass beds down to 32.2 m of depth. Sentinel-2 constellation with its 10-m spatial resolution at most of the spectral bands, 5-day revisit frequency and open data policy can be an important tool to provide crucial missing information on the spatial distribution of coastal habitats and on their bathymetry distribution, especially in data-poor and/or remote areas with large gaps in a retrospective, rapid and non-intrusive manner. As such, it becomes a crucial ally for the conservation and management of coastal habitats globally. Numéro de notice : A2019-469 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2019.03.012 Date de publication en ligne : 15/04/2019 En ligne : https://doi.org/10.1016/j.jag.2019.03.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93608
in International journal of applied Earth observation and geoinformation > vol 80 (August 2019) . - pp 58-70[article]GIS-based modeling of sea level rise effect on coastal property management policies / C. A. Nettleman in SaLIS Surveying and land information science, vol 72 n° 4 (December 2012)
PermalinkUse of geo-spatial information and technologies for analyzing morphological changes in the Greater Visakhapatnal coastal region east coast of India / P. Latha in Geocarto international, vol 26 n° 5 (August 2011)
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