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Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning / Jari Vauhkonen in Forestry, an international journal of forest research, vol 89 n° 4 (August 2016)
[article]
Titre : Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning Type de document : Article/Communication Auteurs : Jari Vauhkonen, Auteur ; Joni Imponen, Auteur Année de publication : 2016 Article en page(s) : pp 350 - 363 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Aves
[Termes IGN] biodiversité végétale
[Termes IGN] classification non dirigée
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] exploration de données géographiques
[Termes IGN] gestion de la vie sauvage
[Termes IGN] gestion forestière durable
[Termes IGN] habitat d'espèce
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier étranger (données)
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) To account for ecological objectives in forest management planning, potential habitats need to be mapped, characterized and evaluated for utility in alternative management practices. Airborne laser scanning (ALS) is increasingly used to derive predictive maps of habitat quality. Unlike ecologically driven approaches that require spatially and temporally co-located training data of the specific species, we tested whether indicative information on the habitat potential could be obtained by means of an unsupervised classification of ALS data. Based on a literature review, altogether five ALS features quantifying vegetation height, cover and diversity were expected to capture the essential variation in the habitat requirements of western capercaillie (Tetrao urogallus L.) and hazel grouse (Tetrastes bonasia L.), which are the most important game birds occurring in the studied area. The features were extracted from sparse density, leaf-off ALS data at a resolution of 256 m2 and partitioned using an unsupervised k-means algorithm. By analysing the persistence of the cluster ensemble formed by the partitioning, altogether 158 plots in 16 structural classes were assigned for field measurements to determine which real-world forest phenomena affected the clustering. The clustering was found to stratify the area mainly in terms of size-related attributes such as timber volume and basal area. The understorey, shrub and herb layers had less correspondence with the clustering, indicating that an unsupervised classification is not directly suitable for habitat mapping. The result was improved using empirical threshold values for the ALS features determined according to the plots labelled as the most potential habitats in the field measurements. This semi-supervised classification of the data indicated 4 per cent of the total forest area as suitable for the specific species, which appears a reasonable estimate of the core area of the habitats considered. Overall, the partitioning formed aggregated, stand-like spatial patterns, even though the neighbourhoods of the individual 256 m2 cells were not considered at all. The result could be further refined by spatial optimization to produce indicative maps for forest management planning with ALS as the sole data source. Numéro de notice : A2016--155 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1093/forestry/cpw011 En ligne : https://doi.org/10.1093/forestry/cpw011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85780
in Forestry, an international journal of forest research > vol 89 n° 4 (August 2016) . - pp 350 - 363[article]Enabling maps/location searches on mobile devices: constructing a POI database via focused crawling and information extraction / Hsiu-Min Chuang in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)
[article]
Titre : Enabling maps/location searches on mobile devices: constructing a POI database via focused crawling and information extraction Type de document : Article/Communication Auteurs : Hsiu-Min Chuang, Auteur ; Chia-Hui Chang, Auteur ; Ting-Yao Kao, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 1405 - 1425 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] exploration de données
[Termes IGN] extraction de données
[Termes IGN] point d'intérêt
[Termes IGN] positionnement automatique
[Termes IGN] recherche d'information
[Termes IGN] service fondé sur la position
[Termes IGN] téléphonie mobileRésumé : (Auteur) With the popularity of mobile devices and smartphones, we have witnessed rapid growth in mobile applications and services, especially in location-based services (LBS). According to a mobile marketing survey, maps/location searches are among the most utilized services on smartphones. Points of interest (POIs), such as stores, shops, gas stations, parking lots, and bus stops, are particularly important for maps/location searches. Existing map services such as Google Maps and Wikimapia are constructed manually either professionally or with crowd sourcing. However, manual annotation is costly and limited in current POI search services. With the abundance of information on the Web, many store POIs can be extracted from the Web. In this paper, we focus on automatically constructing a POI database to enable store POI map searches. We propose techniques that are required to construct a POI database, including focused crawling, information extraction, and information retrieval techniques. We first crawl Yellow Page web sites to obtain vocabularies of store names. These vocabularies are then investigated with search engines to obtain sentences containing these store names from search snippets in order to train a store name recognition model. To extract POIs scattered across the Web, we propose a query-based crawler to find address-bearing pages that might be used to extract addresses and store names. We crawled 1.25 million distinct POI pairs scattered across the Web and implemented a POI search service via Apache Lucent’s search platform, called Solr. The experimental results demonstrate that the proposed geographical information retrieval model outperforms Wikimapia and a commercial app called ‘What’s the Number?’ Numéro de notice : A2016-309 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1133820 En ligne : http://dx.doi.org/10.1080/13658816.2015.1133820 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80909
in International journal of geographical information science IJGIS > vol 30 n° 7- 8 (July - August 2016) . - pp 1405 - 1425[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2016042 RAB Revue Centre de documentation En réserve L003 Disponible 079-2016041 RAB Revue Centre de documentation En réserve L003 Disponible A hierarchical approach to three-dimensional segmentation of LiDAR data at single-tree level in a multilayered forest / Claudia Paris in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)
[article]
Titre : A hierarchical approach to three-dimensional segmentation of LiDAR data at single-tree level in a multilayered forest Type de document : Article/Communication Auteurs : Claudia Paris, Auteur ; Davide Valduga, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2016 Article en page(s) : pp 4190 - 4203 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] arbre remarquable
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] exploration de données
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] regroupement de données
[Termes IGN] semis de pointsRésumé : (Auteur) Small-footprint high-density LiDAR data provide information on both the dominant and the subdominant layers of the forest. However, tree detection is usually carried out in the Canopy Height Model (CHM) image domain, where not all the dominant trees are distinguishable and the understory vegetation is not visible. To address these issues, we propose a novel method that integrates the analysis of the CHM with that of the point cloud space (PCS) to 1) improve the accuracy in the detection and delineation of the dominant trees and 2) identify and delineate the subdominant trees. By means of a derivative analysis of the horizontal profile of the forest, the method detects the missed crowns and delineates the crown boundaries directly in the PCS. Then, for each segmented crown, the vertical profile is analyzed to identify the presence of subcanopies and extract them. The proposed method does not require any prior knowledge on the stand properties (e.g., crown size and forest density). Experimental results obtained on two LiDAR data sets characterized by different laser point density show that the proposed method always improved the detection rate compared to other state-of-the-art techniques. It correctly detected 97% and 92% of the dominant trees measured in situ in high- and low-density LiDAR data, respectively. Moreover, it automatically identified 77% of the subdominant trees manually extracted by an expert operator in the high-density LiDAR data. Numéro de notice : A2016-881 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2538203 En ligne : https://doi.org/10.1109/TGRS.2016.2538203 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83044
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 7 (July 2016) . - pp 4190 - 4203[article]The story of DB4GeO – A service-based geo-database architecture to support multi-dimensional data analysis and visualization / Martin Breunig in ISPRS Journal of photogrammetry and remote sensing, vol 117 (July 2016)
[article]
Titre : The story of DB4GeO – A service-based geo-database architecture to support multi-dimensional data analysis and visualization Type de document : Article/Communication Auteurs : Martin Breunig, Auteur ; Paul Vincent Kuper, Auteur ; Edgar Butwilowski, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 187 – 205 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] architecture orientée services
[Termes IGN] données 4D
[Termes IGN] données localisées 3D
[Termes IGN] données multidimensionnelles
[Termes IGN] données spatiotemporelles
[Termes IGN] exploration de données
[Termes IGN] géodatabase
[Termes IGN] géovisualisation
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] service web géographiqueRésumé : (auteur) Multi-dimensional data analysis and visualization need efficient data handling to archive original data, to reproduce results on large data sets, and to retrieve space and time partitions just in time. This article tells the story of more than twenty years research resulting in the development of DB4GeO, a web service-based geo-database architecture for geo-objects to support the data handling of 3D/4D geo-applications. Starting from the roots and lessons learned, the concepts and implementation of DB4GeO are described in detail. Furthermore, experiences and extensions to DB4GeO are presented. Finally, conclusions and an outlook on further research also considering 3D/4D geo-applications for DB4GeO in the context of Dubai 2020 are given. Numéro de notice : A2016-585 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.12.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.12.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81726
in ISPRS Journal of photogrammetry and remote sensing > vol 117 (July 2016) . - pp 187 – 205[article]Using seal trajectories in biological early warning system for real-time zone tracking / Rouaa Wannous in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 4 (juillet - août 2016)
[article]
Titre : Using seal trajectories in biological early warning system for real-time zone tracking Titre original : Utilisation des trajectoires de phoques dans un système d'alertes biologique pour le suivi de zone en temps réel Type de document : Article/Communication Auteurs : Rouaa Wannous, Auteur ; Jamal Malki, Auteur ; Alain Bouju, Auteur ; Cécile Vincent, Auteur Année de publication : 2016 Article en page(s) : pp 83 - 104 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] algorithme de filtrage
[Termes IGN] données massives
[Termes IGN] exploration de données
[Termes IGN] filtrage d'information
[Termes IGN] message d'alerte
[Termes IGN] objet mobile
[Termes IGN] ontologie
[Termes IGN] population animaleRésumé : (Auteur) Les systèmes d’alertes rapides se sont intéressés aux données capturées en particulier celles des objets mobiles. Depuis le début des années 2000, de nouveaux dispositifs de capture sont conçus qui sont capables de restituer de grands volumes de données, appelés trajectoires. Comment les systèmes d’alertes rapides peuvent-ils intégrer ces masses de données ? Comment répondre en temps réel aux requêtes des utilisateurs ? Dans ce travail, nous présentons une approche ontologique pour modéliser la trajectoire. Les connaissances du domaine de la trajectoire sont exprimées sous forme de règles qui alimentent le mécanisme d’inférence ontologique. Nous montrons l’importante complexité de l’inférence et nous proposons des optimisations. Nous évaluons les contributions sur des données réelles. Numéro de notice : A2016-943 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Article DOI : 10.3166/isi.21.4.83-104 En ligne : https://doi.org/10.3166/isi.21.4.83-104 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83428
in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI > vol 21 n° 4 (juillet - août 2016) . - pp 83 - 104[article]Réservation
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