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Adequacy of pseudo-direct georeferencing of terrestrial laser scanning data for coastal landscape surveying against indirect georeferencing ArchiMer
Jaud, Marion; Letortu, Pauline; Augereau, Emmanuel; Le Dantec, Nicolas; Beauverger, Mickael; Cuq, Veronique; Prunier, Christophe; Le Bivic, Rejanne; Delacourt, Christophe.
The georeferencing process is crucial to the accuracy of terrestrial laser scanner (TLS) data, in particular in the context of diachronic studies relying on multi-temporal surveys. The use of Ground Control Points in the georeferencing process can however be complex when confronted with the practical constraints of coastal surveying. A simple and quick alternative method called "pseudo-direct georeferencing" is proposed in the present paper. This method involves internal inclinometers to measure roll and pitch angles and a centimetric GPS to measure the position of the TLS center and the position of one backsight target. When assessing the transformational uncertainty by using a set of independent ground validation points for both classical indirect and...
Tipo: Text Palavras-chave: Terrestrial laser scanning; Coastal monitoring; Direct georeferencing; Indirect georeferencing; Multi-temporal surveys; Geomorphological evolution.
Ano: 2017 URL: https://archimer.ifremer.fr/doc/00638/75050/75683.pdf
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Collaborative Science to Enhance Coastal Resilience and Adaptation ArchiMer
Nichols, C. Reid; Wright, Lynn D.; Bainbridge, Scott J.; Cosby, Arthur; Henaff, Alain; Loftis, Jon D.; Cocquempot, Lucie; Katragadda, Sridhar; Mendez, Gina R.; Letortu, Pauline; Le Dantec, Nicolas; Resio, Donald; Zarillo, Gary.
Impacts from natural and anthropogenic coastal hazards are substantial and increasing significantly with climate change. Coasts and coastal communities are increasingly at risk. In addition to short-term events, long-term changes, including rising sea levels, increasing storm intensity, and consequent severe compound flooding events are degrading coastal ecosystems and threatening coastal dwellers. Consequently, people living near the coast require environmental intelligence in the form of reliable short-term and long-term predictions in order to anticipate, prepare for, adapt to, resist, and recover from hazards. Risk-informed decision making is crucial, but for the resulting information to be actionable, it must be effectively and promptly communicated...
Tipo: Text Palavras-chave: Coastal observations; Numerical models; Coastal flooding; Big data; Collaboration; Community vulnerability; Climate change; Urban coasts.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00637/74921/75770.pdf
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On the Determination of Triggering Factors of Coastal Chalk Cliff Collapses in Upper Normandy ArchiMer
Letortu, Pauline; Cador, Jean-michel; Le Gendre, Romain; Quenol, Hervé; Costa, Stéphane.
Objectives : The primary aim of this study is to determine the triggering factors of coastal cliff retreat. (...)
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Ano: 2011 URL: http://archimer.ifremer.fr/doc/00088/19946/17612.pdf
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Une méthode de suivi de la vulnérabilité systémique à l’érosion et la submersion marines ArchiMer
Meur-ferec, Catherine; Le Berre, Iwan; Cocquempot, Lucie; Guillou, Elisabeth; Henaff, Alain; Lami, Thibaut; Le Dantec, Nicolas; Letortu, Pauline; Philippe, Manuelle; Nous, Camille.
Coastal development, combined with the intrinsic mobility of coasts and the context of climate change, tends to increase the vulnerability of coastal territories. This article proposes, on one hand, a renewed interdisciplinary approach to the concept of vulnerability allowing to overcome the nature/society dichotomy. On the other hand, the paper presents an inter-sectoral researchers-managers approach to build a series of indicators to monitor the four components of systemic vulnerability (hazards, stakes, management and representations). These indicators lay the ground for an integrated observatory, source of data for research as well as to inform decisions regarding the adaptation of coastal territories.
Tipo: Text Palavras-chave: Coastal risks; Erosion; Sea-flooding; Vulnerability; Interdisciplinary; Intersectorality; Indicators; Adaptation; Observatory.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00629/74122/73559.pdf
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