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Termes IGN > foresterie > inventaire forestier (techniques et méthodes)
inventaire forestier (techniques et méthodes)
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Forêts -- Inventaires, Levés forestiers. Inventaire des ressources naturelles, Topographie, Inventaire de la végétation, Sylviculture. >> >>Terme(s) spécifique(s) : Cartographie forestière. Equiv. LCSH : Forest surveys. |
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Moving toward consistent ALS monitoring of forest attributes across Canada: A consortium approach / Christopher Hopkinson in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
[article]
Titre : Moving toward consistent ALS monitoring of forest attributes across Canada: A consortium approach Type de document : Article/Communication Auteurs : Christopher Hopkinson, Auteur ; Laura Chasmer, Auteur ; D. Colville, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 159 - 173 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] balayage laser
[Termes IGN] Canada
[Termes IGN] cohérence des données
[Termes IGN] données lidar
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] qualité des données
[Termes IGN] surveillance forestière
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] traitement de données localiséesRésumé : (Auteur) As airborne laser scanning (ALS) gains wider adoption to support forest operations in Canada, the consistency and quality of derivative products that support long-term monitoring and planning are becoming a key issues for managers. The Canadian Consortium for Lidar Environmental Applications Research (C-CLEAR) has supported almost 200 projects across Canada since 2000, with forest-related studies being a dominant theme. In 2010 and 2011, field operations were mobilized to support 13 ALS projects spanning almost the full longitudinal gradient of Canada's forests. This paper presents case studies for seven plus an overview of some best practices and data processing workflow tools that have resulted from these consortium activities. Although the projects and research teams are spread across Canada, the coordination and decade of experience provided through C-CLEAR have brought common methodological elements to all. It is clear that operational, analytical and reporting guidelines that adhere to community accepted standards are required if the benefits promised by ALS forestry are to be realized. A national Lidar Institute that builds upon the C-CLEAR model and focuses on developing standards, guidelines, and certified training would address this need. Numéro de notice : A2013-077 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.2.159 En ligne : https://doi.org/10.14358/PERS.79.2.159 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32215
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 2 (February 2013) . - pp 159 - 173[article]Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey / L. Wang in Geoinformatica, vol 17 n° 1 (January 2013)
[article]
Titre : Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey Type de document : Article/Communication Auteurs : L. Wang, Auteur ; A. Birt, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 35 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle géométrique
[Termes IGN] Pinophyta
[Termes IGN] Pinus taeda
[Termes IGN] segmentationRésumé : (Auteur) Small Footprint LiDAR (Light Detection And Ranging) has been proposed as an effective tool for measuring detailed biophysical characteristics of forests over broad spatial scales. However, by itself LiDAR yields only a sample of the true 3D structure of a forest. In order to extract useful forestry relevant information, this data must be interpreted using mathematical models and computer algorithms that infer or estimate specific forest metrics. For these outputs to be useful, algorithms must be validated and/or calibrated using a sub-sample of ‘known’ metrics measured using more detailed, reliable methods such as field sampling. In this paper, we describe a novel method for delineating and deriving metrics of individual trees from LiDAR data based on watershed segmentation. Because of the costs involved with collecting both LiDAR data and field samples for validation, we use synthetic LiDAR data to validate and assess the accuracy of our algorithm. This synthetic LiDAR data is generated using a simple geometric model of Loblolly pine (Pinus taeda) trees and a simulation of LiDAR sampling. Our results suggest that point densities greater than 2 and preferably greater than 4 points per m2 are necessary to obtain accurate forest inventory data from Loblolly pine stands. However the results also demonstrate that the detection errors (i.e. the accuracy and biases of the algorithm) are intrinsically related to the structural characteristics of the forest being measured. We argue that experiments with synthetic data are directly useful to forest managers to guide the design of operational forest inventory studies. In addition, we argue that the development of LiDAR simulation models and experiments with the data they generate represents a fundamental and useful approach to designing, improving and exploring the accuracy and efficiency of LiDAR algorithms. Numéro de notice : A2013-046 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1007/s10707-011-0148-1 Date de publication en ligne : 29/11/2011 En ligne : https://doi.org/10.1007/s10707-011-0148-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32184
in Geoinformatica > vol 17 n° 1 (January 2013) . - pp 35 - 61[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2013011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Feasibility of terrestrial laser scanning for plotwise forest inventories Type de document : Thèse/HDR Auteurs : Xinlian Liang, Auteur ; Henrik Haggren, Directeur de thèse Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 2013 Collection : Publications of the Finnish Geodetic Institute, ISSN 0085-6932 num. 149 Importance : 150 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-711-299-4 Note générale : bibliographie, ISBN du pdf
Department of Real Estate, Planning and Geoinformatics, Aalto UniversityLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] semis de points
[Termes IGN] volume en boisRésumé : (auteur) Detailed, up-to-date forest information is increasingly important in quantitative forest inventories. The accuracy of the information retrieval is highly dependent on the quality and quantity of the reference data collected on field sample plots. In practice, the plotwise forest data are used as a reference for the calibration of large-area inventory data measured by aerial and space-borne remote sensing techniques. Field reference data are conventionally collected at the sample plot level by manual measurements. Because of the high costs and labor intensity of manual measurements, the number of tree attributes collected is limited. Some of the most important tree attributes are not even measured or sampled.
Terrestrial laser scanning (TLS) has been recently shown to be a promising technique for forest-related studies. Many tree attributes have been correlated with measurements from TLS data. Numerous TLS methods have been proposed. 6However, the feasibility of applying TLS in plotwise forest inventories is still unclear. The major missing factor is automation of data processing. Other factors hampering the acceptance of the technology include the relatively high cost of the TLS instrument, the low measurement accuracy achieved using the automated data processing currently available, and the shortage of experimental results related to the retrieval of advanced stem attributes (e.g., stem curve) and to different forest conditions.
In this study, a series of methods to map sample plots were developed, and their applicability in plotwise forest inventories was analyzed. The accuracy of stem mapping, the efficiency of data collection, and the limitations of the techniques were discussed. The results indicate that TLS is capable of documenting a forest sample plot in detail and that automated mapping methods yield accurate measurements of the most important tree attributes, such as diameter at breast height and stem curve. The fully-automated TLS data processing that was developed in this study resulted in measurement accuracy similar to that of manual measurements using conventional tools or models and of manual measurements from point cloud data. The results of this study support the feasibility of TLS for practical forest field inventories.
Further research is needed to explore new protocols for the application of TLS in field inventories. Three possible new directions are the integration of detailed tree attributes (e.g., stem curve, volume, and biomass) in large-area inventories, the utilization of TLS field plots in national forest inventories, and the mapping of large sample plots, e.g., in operational harvest planning. More studies need to be performed on sample plots under different forest conditions (development class, tree species, and amount of ground vegetation).Numéro de notice : 26025 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse étrangère En ligne : https://aaltodoc.aalto.fi/bitstream/handle/123456789/11355/isbn9789517112994.pdf [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93651 Individual tree biomass estimation using terrestrial laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)
[article]
Titre : Individual tree biomass estimation using terrestrial laser scanning Type de document : Article/Communication Auteurs : Ville Kankare, Auteur ; Markus Holopainen, Auteur ; Eetu Puttonen, Auteur ; Matti Vaaja, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 64 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] biomasse
[Termes IGN] croissance des arbres
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] précision des mesures
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Determination of stem and crown biomass requires accurate measurements of individual tree stem, bark, branch and needles. These measurements are time-consuming especially for mature trees. Accurate field measurements can be done only in a destructive manner. Terrestrial laser scanning (TLS) measurements are a viable option for measuring the reference information needed. TLS measurements provide dense point clouds in which features describing biomass can be extracted for stem form and canopy dimensions. Existing biomass models do not utilise canopy size information and therefore TLS-based estimation methods should improve the accuracy of biomass estimation. The main objective of this study was to estimate single-tree-level aboveground biomass (AGB), based on models developed using TLS data. The modelling dataset included 64 laboratory-measured trees. Models were developed for total AGB, tree stem-, living branch- and dead branch biomass. Modelling results were also compared with existing individual tree-level biomass models and showed that AGB estimation accuracies were improved, compared with those of existing models. However, current biomass models based on diameter-at-breast height (DBH), tree height and species worked rather well for stem- and total biomass. TLS-based models improved estimation accuracies, especially estimation of branch biomass. We suggest the use of stem curve and crown size geometric measurements from TLS data as a basis for allometric biomass models rather than statistical three-dimensional point metrics, since TLS statistical metrics are dependent on various scanning parameters and tree neighbourhood characteristics. Numéro de notice : A2013-033 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32171
in ISPRS Journal of photogrammetry and remote sensing > vol 75 (January 2013) . - pp 64 - 75[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013011 RAB Revue Centre de documentation En réserve L003 Disponible Estimating forest attribute parameters for small areas using nearest neighbors techniques / Ronald E. McRoberts in Forest ecology and management, vol 272 (mai 2012)
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Titre : Estimating forest attribute parameters for small areas using nearest neighbors techniques Type de document : Article/Communication Auteurs : Ronald E. McRoberts, Auteur Année de publication : 2012 Article en page(s) : pp 3 - 12 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification barycentrique
[Termes IGN] image Landsat-TM
[Termes IGN] inférence statistique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] méthode statistique
[Termes IGN] métrique
[Termes IGN] optimisation (mathématiques)Résumé : (auteur) Nearest neighbors techniques have become extremely popular, particularly for use with forest inventory data. With these techniques, a population unit prediction is calculated as a linear combination of observations for a selected number of population units in a sample that are most similar, or nearest, in a space of ancillary variables to the population unit requiring the prediction. Nearest neighbors techniques are appealing for multiple reasons: they can be used with categorical response variables for which the objective is classification and with continuous response variables for which the objective is prediction; they can be used for both univariate and multivariate prediction; they are non-parametric in the sense that no assumptions regarding the distributions of response or predictor variables are necessary; they are synthetic in the sense that they can readily use information external to the geographic area for which an estimate is sought; they are useful for map construction, small area estimation, and inference; and they can be used with a wide variety of data sets. Recent advances and emerging issues in nearest neighbors techniques are reviewed for four topic areas: (1) distance metrics, (2) optimization, (3) diagnostic tools, and (4) inference. The focus of the study is estimation of mean forest stem volume per unit area for small areas using a combination of forest inventory observations and Landsat Thematic Mapper (TM) imagery. However, the concepts and techniques are generally applicable for all nearest neighbors problems. Numéro de notice : IFN_6634 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2011.06.039 Date de publication en ligne : 03/09/2011 En ligne : https://doi.org/10.1016/j.foreco.2011.06.039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75564
in Forest ecology and management > vol 272 (mai 2012) . - pp 3 - 12[article]La 3ème journée de l'imagerie géospatiale / Anonyme in Géomatique expert, n° 79 (01/03/2011)PermalinkAn application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data / W. Dorigo in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)Permalinkvol 31 n° 5 - March 2010 - Special issue: SilviLaser 2008: Papers based on presentations made at the 8th international conference on Lidar applications in forest assessment and inventory, Edinburgh, 17-19 September 2008 (Bulletin de International Journal of Remote Sensing IJRS) / R. HillPermalinkPermalinkLes inventaires forestiers nationaux, observatoires et tableaux de bord permanent des espaces boisés, journée d'étude, 12 mai 2010, Gembloux, Belgique / Jacques Rondeux (2010)Permalinkvol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 (Bulletin de International Journal of Remote Sensing IJRS) / Ronald E. McRobertsPermalinkLand use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana / Nicolas Stach in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)PermalinkSylvie : l'outil de diagnostic des peuplements de l'ONF / Thibaud Lombart in Forêt entreprise, n° 186 (2009/3)PermalinkAutomatic forest inventory parameter determination from terrestrial laser scanner data / Hans-Gerd Maas in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)PermalinkSpecies identification of individual trees by combining high resolution LiDAR data with multi-spectral images / Johan Holmgren in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)PermalinkObserver et décrire la forêt / Inventaire forestier national (1958 - 2011) (2008)PermalinkAccuracy of forest mapping based on Landsat TM data and a kNN-based method / K. Gjertsen in Remote sensing of environment, vol 110 n° 4 (30/10/2007)Permalinkvol 110 n° 4 - 30/10/2007 - Forestsat 2007 (Bulletin de Remote sensing of environment) / Ronald E. McRobertsPermalinkEstimation of local forest attributes, utilizing two-phase sampling and auxiliary data / Sakari Tuominen (2007)PermalinkPermalinkAssessment of forest structure with airborne LiDAR and the effects of platform altitude / N.R. Goodwin in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkPractical photogrammetric procedures for large-scale forest inventories / Paul-André Gagnon (29/03/2006)PermalinkCorrections for cluster-plot slop / Harry T. Valentine in Forest science, vol 52 n° 1 (February 2006)PermalinkTypologie des paysages forestiers du sud du massif de Fontainebleau après la tempête de décembre 1999 / V. Godard in Revue internationale de géomatique, vol 15 n° 3 (septembre – novembre 2005)PermalinkPerformance of different spectral and textural photograph features in multi-source forest inventory / Sakari Tuominen in Remote sensing of environment, vol 94 n° 2 (30/01/2005)Permalink