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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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Tree species classification using structural features derived from terrestrial laser scanning / Louise Terryn in ISPRS Journal of photogrammetry and remote sensing, vol 168 (October 2020)
[article]
Titre : Tree species classification using structural features derived from terrestrial laser scanning Type de document : Article/Communication Auteurs : Louise Terryn, Auteur ; Kim Calders, Auteur ; Mathias I. Disney, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 170 - 181 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] arbre (flore)
[Termes IGN] classification barycentrique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] composition d'un peuplement forestier
[Termes IGN] couvert forestier
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] espèce végétale
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] ombre
[Termes IGN] régression logistique
[Termes IGN] semis de pointsRésumé : (auteur) Fast and automated collection of forest data, such as species composition information, is required to support climate mitigation actions. Recently, there have been significant advances in the use of terrestrial laser scanning (TLS) instruments, which facilitate the capture of detailed forest structure. However, for tree species recognition the structural information from TLS has mainly been used to complement spectral information. TLS-only classification studies have been limited in size and diversity of plot forest types. In this paper, we investigate the potential of TLS for tree species classification. We used quantitative structure models to determine 17 structural tree features. These features were computed for 758 trees of five tree species, including two understory species, of a 1.4 hectare mixed deciduous forest plot. Three classification methods were compared: k-nearest neighbours, multinomial logistic regression and support vector machine. We assessed the potential underlying causes for structural differences with principal component analysis. We obtained classification success rates of approximately 80%, however, with producer accuracies for three of the five species ranging from 0 to 60%. Low producer accuracies were the result of a high intra- and low inter-species variability. These effects were, respectively, caused by a high size-dependency of the structural features and a convergence of structural traits across species as a result of the individual tree position in the forest canopy and shade tolerance. Nevertheless, the producer accuracies could be improved through sensitivity vs. specificity trade-offs, with over 50% for all species being obtainable. The high intra -and low inter-species variability complicate the classification. Furthermore, the classification performance and best classification method greatly depend on its targeted application. In conclusion, this study proves the added value of TLS for tree species classification but also shows that TLS opens up potential for testing and further development of ecological theory. Numéro de notice : A2020-636 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.08.009 Date de publication en ligne : 21/08/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.08.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96059
in ISPRS Journal of photogrammetry and remote sensing > vol 168 (October 2020) . - pp 170 - 181[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2020101 RAB Revue Centre de documentation En réserve L003 Disponible 081-2020103 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2020102 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt Predicting biomass dynamics at the national extent from digital aerial photogrammetry / Bronwyn Price in International journal of applied Earth observation and geoinformation, vol 90 (August 2020)
[article]
Titre : Predicting biomass dynamics at the national extent from digital aerial photogrammetry Type de document : Article/Communication Auteurs : Bronwyn Price, Auteur ; Lars T. Waser, Auteur ; Zuyuan Wang, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : n° 102116 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse aérienne
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] hauteur de la végétation
[Termes IGN] image aérienne
[Termes IGN] indicateur de service écosystémique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] lasergrammétrie
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] photogrammétrie aérienne
[Termes IGN] puits de carbone
[Termes IGN] régression linéaire
[Termes IGN] série temporelle
[Termes IGN] Suisse
[Termes IGN] surveillance écologique
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The demand for precise mapping and monitoring of forest resources, such as above ground biomass (AGB), has increased rapidly. National accounting and monitoring of AGB requires regularly updated information based on consistent methods. While remote sensing technologies such as airborne laser scanning (ALS) and digital aerial photogrammetry (DAP) have been shown to deliver the necessary 3D spatial data for AGB mapping, the capacity of repeat acquisition, remotely sensed, vegetation structure data for AGB monitoring has received less attention. Here, we use vegetation height models (VHMs) derived from repeat acquisition DAP data (with ALS terrain correction) to map and monitor woody AGB dynamics across Switzerland over 35 years (1983-2017 inclusive), using a linear least-squares regression approach. We demonstrate a consistent relationship between canopy height derived from DAP and field-based NFI measures of woody AGB across four inventory periods. Over the environmentally heterogeneous area of Switzerland, our models have a comparable predictive performance (R2 = 0.54) to previous work predicting AGB based on ALS metrics. Pearson correlation coefficients between measured and predicted changes in woody AGB over time increased with shorter time gaps ( Numéro de notice : A2020-717 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jag.2020.102116 Date de publication en ligne : 15/04/2020 En ligne : https://doi.org/10.1016/j.jag.2020.102116 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96292
in International journal of applied Earth observation and geoinformation > vol 90 (August 2020) . - n° 102116[article]Large-scale two-phase estimation of wood production by poplar plantations exploiting Sentinel-2 data as auxiliary information / Agnese Marcelli in Silva fennica, vol 54 n° 2 (March 2020)
[article]
Titre : Large-scale two-phase estimation of wood production by poplar plantations exploiting Sentinel-2 data as auxiliary information Type de document : Article/Communication Auteurs : Agnese Marcelli, Auteur ; Walter Mattioli, Auteur ; Nicola Puletti, Auteur ; et al., Auteur Année de publication : 2020 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] acteurs de la filière bois-forêt
[Termes IGN] bois sur pied
[Termes IGN] échantillonnage
[Termes IGN] image à haute résolution
[Termes IGN] image Sentinel-MSI
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Italie
[Termes IGN] Populus (genre)
[Termes IGN] récolte de bois
[Termes IGN] régression linéaire
[Termes IGN] tessellation
[Termes IGN] volume en boisRésumé : (auteur) Growing demand for wood products, combined with efforts to conserve natural forests, have supported a steady increase in the global extent of planted forests. Here, a two-phase sampling strategy for large-scale assessment of the total area and the total wood volume of fast-growing forest tree crops within agricultural land is presented. The first phase is performed using tessellation stratified sampling on high-resolution remotely sensed imagery and is sufficient for estimating the total area of plantations by means of a Monte Carlo integration estimator. The second phase is performed using stratified sampling of the plantations selected in the first phase and is aimed at estimating total wood volume by means of an approximation of the first-phase Horvitz-Thompson estimator. Vegetation indices from Sentinel-2 are exploited as freely available auxiliary information in a linear regression estimator to improve the design-based precision of the estimator based on the sole sample data. Estimators of the totals and of the design-based variances of total estimators are presented. A simulation study is developed in order to check the design-based performance of the two alternative estimators under several artificial distributions supposed for poplar plantations (random, clustered, spatially trended). An application in Northern Italy is also reported. The regression estimator turns out to be invariably better than that based on the sole sample information. Possible integrations of the proposed sampling scheme with conventional national forest inventories adopting tessellation stratified sampling in the first phase are discussed. Numéro de notice : A2020-323 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14214/sf.10247 Date de publication en ligne : 20/03/2020 En ligne : https://doi.org/10.14214/sf.10247 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95197
in Silva fennica > vol 54 n° 2 (March 2020)[article]
Titre : Échantillonnage et estimation dans l'Inventaire Forestier National : Essai de reconstruction et formalisation Type de document : Rapport Auteurs : Olivier Bouriaud , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2020 Projets : 1-Pas de projet / Langues : Français (fre) Descripteur : [Termes IGN] analyse de variance
[Termes IGN] échantillonnage de données
[Termes IGN] estimateur
[Termes IGN] estimation statistique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] sondage statistique
[Termes IGN] stratification de données
[Termes IGN] variance
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Ce document présente les éléments principaux de l’échantillonnage et les méthodes d’estimation mises en œuvre dans l’Inventaire Forestier National (IFN) depuis sa réforme en 2004, à l’origine de la « nouvelle méthode d’inventaire ». Il reconstitue le raisonnement logique permettant d’aboutir aux estimateurs statistiques implémentés depuis 2005 et représente ainsi un effort de formalisation conforme à la théorie des sondages. L'enquête IFN est très complexe car à la fois spatiale, temporelle, portant sur une population dynamique et ayant de très nombreux attributs à évaluer simultanément. Elle a donc déployé des méthodes d'échantillonnage et d'estimation spécifiques et originales, essentiellement basées sur un échantillonnage en deux phases et l'emploi poussé de la post-stratification. Numéro de notice : 14254 Affiliation des auteurs : LIF (2020- ) Thématique : FORET/MATHEMATIQUE Nature : Rapport d'étude technique nature-HAL : RappRech DOI : sans En ligne : https://hal.science/hal-03039886 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96848 Estimation methods in the Romanian national forest inventory / Olivier Bouriaud (2020)
Titre : Estimation methods in the Romanian national forest inventory Type de document : Monographie Auteurs : Olivier Bouriaud , Auteur ; Gheorghe Marin, Auteur ; Jean-Christophe Hervé (1961-2017) , Auteur ; Thomas Riedel, Auteur ; Adrian Lanz, Auteur Editeur : Nova science publishers Année de publication : 2020 ISBN/ISSN/EAN : 978-1-5361-8261-3 Note générale : bibliographie
PAS DE DOCUMENT AU CDOSLangues : Anglais (eng) Descripteur : [Termes IGN] analyse de sensibilité
[Termes IGN] estimation statistique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Roumanie
[Termes IGN] volume en bois
[Vedettes matières IGN] Inventaire forestierRésumé : (éditeur) This book aims at presenting the estimation methods used in the first cycle of the National Forest Inventory in Romania. Romania is the twelfth largest country in Europe, and its forest vegetation area is larger than that of Austria and Switzerland together. Yet the last forest inventory in Romania was made in 1984 and based on forest management plans, not on specific sampling and measurements.
The expectations from the inventory were therefore very high and diverse. Like any other modern inventory, RO-NFI was designed to be a multi-purpose inventory which would deliver quantitative data to the ministry and forest administrations, but also to provide the data required for the periodical reporting such as the greenhouse gas reporting. While it started from scratch, the National Forest Inventory has integrated the most recent sampling methods used in countries with similar forest conditions, such as Germany, Austria and Switzerland. The book presents the sampling methods and conclude on the effects of the estimation method on the national-level growing stock, which brings relevant information for professionals from the field, but also for policy-desion makers interested in the use of national forest inventories for reporting on forest carbon emissions and storage.Note de contenu : Preface
1. The Sampling Procedure
2. Data Preprocessing
3. Estimation Methods and Procedures
4. Numerical Examples
5. Sensitivity of Wood Volume to the Estimation MethodNuméro de notice : 17697 Affiliation des auteurs : LIF+Ext (2020- ) Thématique : FORET Nature : Monographie nature-HAL : OuvrScient DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99485 Fusion of 3D point clouds and hyperspectral data for the extraction of geometric and radiometric features of trees / Eduardo Alejandro Tusa Jumbo (2020)PermalinkPermalinkRéponses de la productivité des forêts aux fluctuations météorologiques : biais et surestimations des estimations de terrain / Olivier Bouriaud (2020)PermalinkMulti-sensor prediction of Eucalyptus stand volume: A support vector approach / Guilherme Silverio Aquino de Souza in ISPRS Journal of photogrammetry and remote sensing, vol 156 (October 2019)PermalinkTransferability and calibration of airborne laser scanning based mixed-effects models to estimate the attributes of sawlog-sized Scots pines / Lauri Korhonen in Silva fennica, vol 53 n° 3 (2019)PermalinkLe point de vue de l'inventaire forestier national français (IFN) [sic] / François Morneau in Rendez-vous techniques, n° 58-59-60 ([01/09/2019])PermalinkThe utility of terrestrial photogrammetry for assessment of tree volume and taper in boreal mixedwood forests / Christopher Mulverhill in Annals of Forest Science, Vol 76 n° 3 (September 2019)PermalinkIncreasing precision for French forest inventory estimates using the k-NN technique with optical and photogrammetric data and model-assisted estimators / Dinesh Babu Irulappa-Pillai-Vijayakumar in Remote sensing, vol 11 n° 8 (August 2019)PermalinkComparison of three algorithms to estimate tree stem diameter from terrestrial laser scanner data / Joris Ravaglia in Forests, vol 10 n° 7 (July 2019)PermalinkOcclusion probability in operational forest inventory field sampling with ForeStereo / Fernando Montes in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 7 (July 2019)PermalinkTwo contemporary and efficient two-stage sampling methods for estimating the volume of forest stands: a brief overview and unified mathematical description / Aristeidis Georgakis in Open journal of forestry, vol 9 n° 3 (July 2019)PermalinkDemonstrating the transferability of forest inventory attribute models derived using airborne laser scanning data / Piotr Tompalski in Remote sensing of environment, vol 227 (15 June 2019)PermalinkEstimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching / Kasper Kansanen in ISPRS Journal of photogrammetry and remote sensing, vol 152 (June 2019)PermalinkA general method for the classification of forest stands using species composition and vertical and horizontal structure / Miquel De Cáceres in Annals of Forest Science, vol 76 n° 2 (June 2019)PermalinkTree and stand level estimations of Abies alba Mill. aboveground biomass / Andrzej M. Jagodzinski in Annals of Forest Science, vol 76 n° 2 (June 2019)PermalinkDetecting and characterizing downed dead wood using terrestrial laser scanning / Tuomas Yrttimaa in ISPRS Journal of photogrammetry and remote sensing, vol 151 (May 2019)PermalinkEfficiency of post-stratification for a large-scale forest inventory : case Finnish NFI / Helena Haakana in Annals of Forest Science, vol 76 n° 1 (March 2019)PermalinkEstimation of aboveground biomass and carbon in a tropical rain forest in Gabon using remote sensing and GPS data / Kalifa Goïta in Geocarto international, vol 34 n° 3 ([01/03/2019])PermalinkThinking outside the square: Evidence that plot shape and layout in forest inventories can bias estimates of stand metrics / Thomas S. H. Paul in Methods in ecology and evolution, vol 10 n° 3 (March 2019)PermalinkTree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis / Matheus Pinheiro Ferreira in ISPRS Journal of photogrammetry and remote sensing, vol 149 (March 2019)Permalink