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Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA / L. Shea Rose in Geocarto international, vol 28 n° 3-4 (June - July 2013)  

Public [article]  inGeocarto international > vol 28 n° 3-4 (June - July 2013) . - pp 210 - 226 Titre : Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA Type de document : Article/Communication Auteurs : L. Shea Rose, Auteur ; Jeong C. Seong, Auteur ; Jared Ogle, Auteur ; Ed Beute, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 210 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] Géorgie (Etats-Unis) [Termes IGN] marais salant [Termes IGN] modèle numérique de surface [Termes IGN] pente [Termes IGN] tourbe [Termes IGN] zone humide Résumé : (Auteur) Airborne LiDAR (Light Detection and Ranging) provides opportunities to generate high-quality digital elevation models (DEMs) even in wetland environments. Our project, performed over the Okefenokee Swamp in Georgia during the spring of 2010, shows that several, distinctive factors must be considered to ensure successful wetland LiDAR projects. Some of the challenges include selecting optimal flight times in accordance with weather variability and water levels, having effective and quality control protocols, applying and developing filtering and interpolation algorithms, breaklines in swamps and accounting for data striping and noise. While some of these issues are faced in any airborne LiDAR acquisition, many of these require special consideration in a low-slope wetland environment with water saturated soils, widespread shallow water, and sediments and extensive vegetation. An examination of these issues and how they were handled will help in ensuring the success of future LiDAR acquisitions and, in particular, will advance knowledge of producing quality DEMs in wetland environments. Numéro de notice : A2013-396 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.681707 Date de publication en ligne : 14/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.681707 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32534 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An object-based system for Lidar data fusion and feature extraction / Jarlath P. M. O'Neil-Dunne in Geocarto international, vol 28 n° 3-4 (June - July 2013)  

Public [article]  inGeocarto international > vol 28 n° 3-4 (June - July 2013) . - pp 227 - 242 Titre : An object-based system for Lidar data fusion and feature extraction Type de document : Article/Communication Auteurs : Jarlath P. M. O'Neil-Dunne, Auteur ; Sean W. Macfaden, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 227 - 242 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] carte d'occupation du sol [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] données vectorielles [Termes IGN] extraction de traits caractéristiques [Termes IGN] fusion de données [Termes IGN] image aérienne [Termes IGN] milieu urbain [Termes IGN] modèle orienté objet [Termes IGN] occupation du sol [Termes IGN] Philadelphie [Termes IGN] ville Résumé : (Auteur) In urbanized areas of the developed world, light detection and ranging (LiDAR) exists alongside a wealth of other geospatial information. Despite this bounty, high-resolution land cover is still lacking in many urban areas. This can be attributed to the complexity of many landscapes, the volume of available data and the challenges associated with combining data that were acquired over differing time periods using inconsistent standards. Object-based approaches are ideal for overcoming these limitations. We describe the design, development and deployment of an object-based system that incorporated LiDAR, imagery and vector data sets to develop a comprehensive, multibillion-pixel land-cover data set for the City of Philadelphia. A novel approach using parallel processing allowed us to distribute the feature extraction load to multiple cores, providing massive gains in efficiency and permitting continual modification of the expert system until the accuracy goals of the project were achieved. Numéro de notice : A2013-397 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.689015 Date de publication en ligne : 29/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.689015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32535 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible