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Titre : Metsähovi ITRF co-location site survey, version 1 Type de document : Rapport Auteurs : Thomas Donal, Auteur Mention d'édition : Version 1 Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2015 Collection : Publications techniques en géodésie Sous-collection : Rapports techniques num. 28536 Importance : 70 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] co-positionnement
[Termes IGN] géodésie spatiale
[Termes IGN] International Terrestrial Reference Frame
[Termes IGN] Metsähovi
[Termes IGN] Regina
[Termes IGN] station DORIS
[Termes IGN] station GNSS
[Termes IGN] station VLBIRésumé : (auteur) La réalisation ITRF2008 (dernière en date) de l’International Terrestrial Reference System calculée par le Laboratoire de Recherche en Géodésie (LAREG) de l’IGN est le résultat de la combinaison des référentiels terrestres issus des quatre techniques de géodésie spatiale (c’est à dire DORIS, GNSS, SLR et VLBI). Pour réaliser un repère unique, un moyen consiste à ajouter dans la combinaison les résultats de rattachements sur des sites co-localisés. L'observatoire géodésique de Metsähovi (Finlande) dispose d'une station DORIS, d'une station VLBI et d'une station GNSS permanente, intégrée dans le réseau de l’IGS. Le présent rapport décrit le rattachement de précision réalisé sur ce site en juillet 2012 suite à l'installation d'une station GNSS REGINA et de la rénovation de la station DORIS . Note de contenu : 1. Introduction
2. Co-located site description
3. Site survey description
4. Computation
5. Results
6. AppendixesNuméro de notice : 19735 Affiliation des auteurs : IGN (2012-2019) Thématique : POSITIONNEMENT Nature : Rapport de mission DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84075 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 19735-01 7D Livre SGM K001 Exclu du prêt Documents numériques
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Metsähovi ITRF co-location site surveyAdobe Acrobat PDF Use of remotely sensed auxiliary data for improving sample-based forest inventories / Svetlana Saarela (2015)
Titre : Use of remotely sensed auxiliary data for improving sample-based forest inventories Type de document : Thèse/HDR Auteurs : Svetlana Saarela, Auteur Editeur : Vantaa [Finlande] : Finnish Society of Forest Science Année de publication : 2015 Collection : Dissertationes forestales, ISSN 1795-7389 num. 201 Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-6514911-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse multivariée
[Termes IGN] données auxiliaires
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] échantillonnage de données
[Termes IGN] Finlande
[Termes IGN] forêt boréale
[Termes IGN] image Landsat
[Termes IGN] inférence statistique
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] placette d'échantillonnage
[Termes IGN] tronc
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Over the past decades it has been shown that remotely sensed auxiliary data have a potential to increase the precision of key estimators in sample-based forest surveys. This thesis was motivated by the increasing availability of remotely sensed data, and the objectives were to investigate how this type of auxiliary data can be used for improving both the design and the estimators in sample-based surveys. Two different modes of inference were studied: model-based inference and design-based inference. Empirical data for the studies were acquired from a boreal forest area in the Kuortane region of western Finland. The data comprised a combination of auxiliary information derived from airborne LiDAR and Landsat data, and field sample plot data collected using a modification of the 10th Finnish National Forest Inventory. The studied forest attribute was growing stock volume.
The results of this thesis are important for the development of forest inventories to meet the requirements which stem from an increasing number of international commitments and agreements related to forests.Numéro de notice : 14978 Affiliation des auteurs : non IGN Thématique : FORET Nature : Thèse étrangère Note de thèse : PhD : Forest sciences : University of Helsinki : 2015 En ligne : Over the past decades it has been shown that remotely sensed auxiliary data have [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78366 Accuracy in estimation of timber assortments and stem distribution: A comparison of airborne and terrestrial laser scanning techniques / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)
[article]
Titre : Accuracy in estimation of timber assortments and stem distribution: A comparison of airborne and terrestrial laser scanning techniques Type de document : Article/Communication Auteurs : Ville Kankare, Auteur ; Jari Vauhkonen, Auteur ; Topi Tanhuanpää, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 89 – 97 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] bois sur pied
[Termes IGN] exploitation agricole
[Termes IGN] exploitation industrielle
[Termes IGN] Finlande
[Termes IGN] sylviculture
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Detailed information about timber assortments and diameter distributions is required in forest management. Forest owners can make better decisions concerning the timing of timber sales and forest companies can utilize more detailed information to optimize their wood supply chain from forest to factory. The objective here was to compare the accuracies of high-density laser scanning techniques for the estimation of tree-level diameter distribution and timber assortments. We also introduce a method that utilizes a combination of airborne and terrestrial laser scanning in timber assortment estimation. The study was conducted in Evo, Finland. Harvester measurements were used as a reference for 144 trees within a single clear-cut stand. The results showed that accurate tree-level timber assortments and diameter distributions can be obtained, using terrestrial laser scanning (TLS) or a combination of TLS and airborne laser scanning (ALS). Saw log volumes were estimated with higher accuracy than pulpwood volumes. The saw log volumes were estimated with relative root-mean-squared errors of 17.5% and 16.8% with TLS and a combination of TLS and ALS, respectively. The respective accuracies for pulpwood were 60.1% and 59.3%. The differences in the bucking method used also caused some large errors. In addition, tree quality factors highly affected the bucking accuracy, especially with pulpwood volume. Numéro de notice : A2014-525 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.08.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.08.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74137
in ISPRS Journal of photogrammetry and remote sensing > vol 97 (November 2014) . - pp 89 – 97[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014111 RAB Revue Centre de documentation En réserve L003 Disponible Estimation of the timber quality of scots pine with terrestrial laser scanning / Ville Kankare in Forests, vol 5 n° 8 (August 2014)
[article]
Titre : Estimation of the timber quality of scots pine with terrestrial laser scanning Type de document : Article/Communication Auteurs : Ville Kankare, Auteur ; Marianna Joensuu, Auteur ; Jari Vauhkonen, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 1879 - 1895 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] effet d'ombre
[Termes IGN] Finlande
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Pinus sylvestris
[Termes IGN] semis de pointsRésumé : (auteur) Preharvest information on the quality of Scots pine (Pinus sylvestris) timber is required by the forest industry in Nordic countries, due to the strong association between the technical quality and product recovery of this species in particular. The objective of this study was to assess the accuracy of estimating external quality attributes and classifying the quality of mature Scots pine trees by terrestrial laser scanning (TLS). The tree quality was estimated using a random forest approach, based on both field and TLS measurements of stem diameters, tree height and branch heights. The relative root mean squared errors of the TLS measurements for tree height, diameter, diameter at 6 m and the lowest living and dead branch height were 7.1%, 5.9%, 8.9%, 9.6% and 42.9%, respectively. The highest errors of the branch heights were caused by the shadowing effect in the point cloud data. The quality classes were estimated accurately, based on both (field and TLS measured) tree attributes. Trees were classified with 95.0% and 83.6% accuracy into three operationally-important quality classes and with 87.1% and 76.4% accuracy into five classes using, field or TLS measurements, respectively. The obtained quality classification results were promising. The enhanced tree quality information could have a significant effect on planning forest management procedures, wood supply chains and optimizing the flow of raw materials. To fully integrate tree quality measurements in operational forestry, the methods used should be fully automated. Numéro de notice : A2014-760 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f5081879 En ligne : https://doi.org/10.3390/f5081879 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76416
in Forests > vol 5 n° 8 (August 2014) . - pp 1879 - 1895[article]Urban-Tree-Attribute update using multisource single-tree inventory / Ninni Saarinen in Forests, vol 5 n° 5 (May 2014)
[article]
Titre : Urban-Tree-Attribute update using multisource single-tree inventory Type de document : Article/Communication Auteurs : Ninni Saarinen, Auteur ; Mikko Vastaranta, Auteur ; Ville Kankare, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 1032 - 1052 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] arbre urbain
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] hauteur des arbres
[Termes IGN] Helsinki
[Termes IGN] houppier
[Termes IGN] milieu urbainRésumé : (auteur) The requirements for up-to-date tree data in city parks and forests are increasing, and an important question is how to keep the digital databases current for various applications. Traditional map-updating procedures, such as visual interpretation of digital aerial images or field measurements using tachymeters, are either inaccurate or expensive. Recently, the development of laser-scanning technology has opened new opportunities for tree mapping and attributes updating. For a detailed measurement and attributes update of urban trees, we tested the use of a multisource single-tree inventory (MS-STI) for heterogeneous urban forest conditions. MS-STI requires an existing tree map as input information in addition to airborne laser-scanning (ALS) data. In our study, the tested input tree map was produced by terrestrial laser scanning (TLS) and by using a Global Navigation Satellite System (GNSS). Tree attributes were either measured from ALS or predicted by using metrics extracted from ALS data. Stem diameter-at-breast height (DBH) was predicted and compared to the field measures, and tree height and crown area were directly measured from ALS data at the two different urban-forest areas. The results indicate that MS-STI can be used for updating urban-forest attributes. The accuracies of DBH estimations were improved compared to the existing attribute information in the city of Helsinki’s urban-tree register. In addition, important attributes, such as tree height and crown dimensions, were extracted from ALS and added as attributes to the urban-tree register. Numéro de notice : A2014-761 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/f5051032 En ligne : https://doi.org/10.3390/f5051032 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76419
in Forests > vol 5 n° 5 (May 2014) . - pp 1032 - 1052[article]Automated stem curve measurement using terrestrial laser scanning / Xinlian Liang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)PermalinkCarbon stock changes of forest land in Finland under different levels of wood use and climate change / Risto Sievänen in Annals of Forest Science, vol 71 n° 2 (March 2014)PermalinkPermalinkSnowSAR: Battling climate change for ESA / A. Meta in GEO: Geoconnexion international, vol 11 n° 8 (september 2012)PermalinkAutomatic stem mapping using single-scan terrestrial laser scanning / X. Liang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)PermalinkParametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data / Ronald E. McRoberts in Remote sensing of environment, vol 115 n° 12 (december 2011)PermalinkCalibrating and validating multispectral 3D imaging systems at a permanent test site: case study with an Intergraph DMC / Eija Honkavaara in Photogrammetric record, vol 26 n° 134 (June - August 2011)PermalinkImproving accessibility information in pedestrian maps and databases / M. Laasko in Cartographica, vol 46 n° 2 (June 2011)PermalinkFocus : Évaluation et modélisation de la qualité des habitats forestiers, cas de la Finlande / Sandra Luque in Sciences, eaux & territoires, n° 3 ([22/10/2010])PermalinkSpace-time density of trajectories : exploring spatio-temporal patterns in movement data / Urška Demšar in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)Permalink