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Integrating urban and national forest inventory data in support of rural–urban assessments / James A. Westfall in Forestry, an international journal of forest research, vol 91 n° 5 (December 2018)  

Public [article]  inForestry, an international journal of forest research > vol 91 n° 5 (December 2018) . - pp 641 - 649 Titre : Integrating urban and national forest inventory data in support of rural–urban assessments Type de document : Article/Communication Auteurs : James A. Westfall, Auteur ; Paul L. Patterson, Auteur ; Christopher B. Edgar, Auteur Année de publication : 2018 Article en page(s) : pp 641 - 649 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agrégation de données [Termes IGN] Austin (Texas) [Termes IGN] intégration de données [Termes IGN] inventaire forestier étranger (données) [Termes IGN] inventaire forestier local [Termes IGN] Texas (Etats-Unis) [Termes IGN] variance [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) Due to the interest in status and trends in forest resources, many countries conduct a national forest inventory (NFI). To better understand the characteristics of woody vegetation in areas that are typically not forested, there is an increasing emphasis on urban inventory efforts where all trees both within and outside forest areas are measured. Often, these two inventories are entirely independent endeavours from data collection through analytical reporting. To holistically explore landscape-scale phenomena across the rural–urban gradient, there is a need to combine information from both sources. In this paper, methods for combining these two data sources are examined using data from an urban inventory conducted in Austin, Texas, USA, and NFI data collected in the same and surrounding areas. Approaches to aggregating areas based on sampling intensity and plot design combinations are of considerable importance for the validity of the estimation. An additional complexity can also arise due to temporal discrepancies between the two data sources. Thus, it is imperative to accurately identify all the existing sampling intensity/plot design combinations within the population of interest. Once this difficulty is surmounted, there still exist aggregation methods that will produce erroneous results. Statistically valid variance estimation arises from maintaining independence of the two samples. This approach satisfies both the proportional allocation among strata requirement as well as the necessary partitioning of the two plot designs. Difficulty in interpretation of results can also be encountered due to differences in measurement protocols across aggregated areas. Thus, analysts should have an in-depth understanding of data sources and the differences between them to avoid unintended errors. The need for rural–urban assessments are expected to increase dramatically as urban areas expand and issues such as land conversion, wildland fire and invasive species spread become of further importance. Numéro de notice : A2018-638 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpy023 Date de publication en ligne : 20/07/2018 En ligne : https://doi.org/10.1093/forestry/cpy023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93247 [article]

Mobile lidar for urban streetscapes / R. Roy in GIM international, vol 26 n° 4 (April 2012)  

Public [article]  inGIM international > vol 26 n° 4 (April 2012) . - pp 24 - 29 Titre : Mobile lidar for urban streetscapes Type de document : Article/Communication Auteurs : R. Roy, Auteur Année de publication : 2012 Article en page(s) : pp 24 - 29 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] Austin (Texas) [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] lidar mobile [Termes IGN] photogrammétrie terrestre [Termes IGN] semis de points [Termes IGN] télémétrie laser [Termes IGN] urbanisme [Termes IGN] visualisation 3D Résumé : (Auteur) Surveying and mapping, Inc. (SAM, Inc.) performed a mobile Lidar survey of the historic Sixth Street district in Austin, Texas, USA, for an urban planning project being conducting by the municipality. Sixth Street is an acclaimed music and entertainement district in the heart of downtown Autin, and city planners intend to redevelop it, broadening the pedestrian streetscape and improving both vehiclular and pedestrian traffic control. Using mobile lidar technology to survey this busy street significantly shortened data acquisition time and provided survey-grade deliverables to the city. The detailed point cloud dataset was also made available to city planners for 3D planning and visualisation. Numéro de notice : A2012-153 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article DOI : sans En ligne : http://www.gim-international.com/content/article/mobile-lidar-for-urban-streetsc [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76814 [article]

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Morphology-based building detection from airborne Lidar data / X. Meng in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 4 (April 2009) . - pp 437 - 442 Titre : Morphology-based building detection from airborne Lidar data Type de document : Article/Communication Auteurs : X. Meng, Auteur ; L. Wang, Auteur ; N. Currit, Auteur Année de publication : 2009 Article en page(s) : pp 437 - 442 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] Austin (Texas) [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] filtrage optique [Termes IGN] image multibande [Termes IGN] indice de végétation [Termes IGN] reconstruction 3D du bâti Résumé : (Auteur) The advent of Light Detection and Ranging (lidar) technique provides a promising resource for three-dimensional building detection. Due to the difficulty of removing vegetation, most building detection methods fuse lidar data with multispectral images for vegetation indices and relatively few approaches use only lidar data. However, the fusing process may cause errors introduced by resolution and time difference, shadow and high-rise building displacement problems, and the geo-referencing process. This research presents a morphological building detecting method to identify buildings by gradually removing non-building pixels. First, a ground-filtering algorithm separates ground pixels with buildings, trees, and other objects. Then, an analytical approach removes the remaining non-building pixels using size, shape, height, building element structure, and the height difference between the first and last returns. The experimental results show that this method provides a comparative performance with an overall accuracy of 95.46 percent as in a study site in Austin urban area. Copyright ASPRS Numéro de notice : A2009-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.4.437 En ligne : https://doi.org/10.14358/PERS.75.4.437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29738 [article]