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Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees / Ninni Saarinen in ISPRS Journal of photogrammetry and remote sensing, vol 123 (January 2017)
[article]
Titre : Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees Type de document : Article/Communication Auteurs : Ninni Saarinen, Auteur ; Ville Kankare, Auteur ; Mikko Vastaranta, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 140 - 158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] allométrie
[Termes IGN] biomasse forestière
[Termes IGN] forêt boréale
[Termes IGN] modélisation
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestre
[Termes IGN] tronc
[Termes IGN] volume en boisRésumé : (Auteur) Interest in measuring forest biomass and carbon stock has increased as a result of the United Nations Framework Convention on Climate Change, and sustainable planning of forest resources is therefore essential. Biomass and carbon stock estimates are based on the large area estimates of growing stock volume provided by national forest inventories (NFIs). The estimates for growing stock volume based on the NFIs depend on stem volume estimates of individual trees. Data collection for formulating stem volume and biomass models is challenging, because the amount of data required is considerable, and the fact that the detailed destructive measurements required to provide these data are laborious. Due to natural diversity, sample size for developing allometric models should be rather large. Terrestrial laser scanning (TLS) has proved to be an efficient tool for collecting information on tree stems. Therefore, we investigated how TLS data for deriving stem volume information from single trees should be collected. The broader context of the study was to determine the feasibility of replacing destructive and laborious field measurements, which have been needed for development of empirical stem volume models, with TLS. The aim of the study was to investigate the effect of the TLS data captured at various distance (i.e. corresponding 25%, 50%, 75% and 100% of tree height) on the accuracy of the stem volume derived. In addition, we examined how multiple TLS point cloud data acquired at various distances improved the results. Analysis was carried out with two ways when multiple point clouds were used: individual tree attributes were derived from separate point clouds and the volume was estimated based on these separate values (multiple-scan A), and point clouds were georeferenced as a combined point cloud from which the stem volume was estimated (multiple-scan B). This permitted us to deal with the practical aspects of TLS data collection and data processing for development of stem volume equations in boreal forests. The results indicated that a scanning distance of approximately 25% of tree height would be optimal for stem volume estimation with TLS if a single scan was utilized in boreal forest conditions studied here and scanning resolution employed. Larger distances increased the uncertainty, especially when the scanning distance was greater than approximately 50% of tree height, because the number of successfully measured diameters from the TLS point cloud was not sufficient for estimating the stem volume. When two TLS point clouds were utilized, the accuracy of stem volume estimates was improved: RMSE decreased from 12.4% to 6.8%. When two point clouds were processed separately (i.e. tree attributes were derived from separate point clouds and then combined) more accurate results were obtained; smaller RMSE and relative error were achieved compared to processing point clouds together (i.e. tree attributes were derived from a combined point cloud). TLS data collection and processing for the optimal setup in this study required only one sixth of time that was necessary to obtain the field reference. These results helped to further our knowledge on TLS in estimating stem volume in boreal forests studied here and brought us one step closer in providing best practices how a phase-shift TLS can be utilized in collecting data when developing stem volume models. Numéro de notice : A2017-011 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.11.012 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.11.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83912
in ISPRS Journal of photogrammetry and remote sensing > vol 123 (January 2017) . - pp 140 - 158[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017011 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017013 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017012 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Utilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National / Sophie Georges (2017)
Titre : Utilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National Type de document : Mémoire Auteurs : Sophie Georges, Auteur Editeur : Toulouse : Université de Toulouse 2 Jean Jaurès Année de publication : 2017 Autre Editeur : Toulouse : Institut National Polytechnique de Toulouse INPT Importance : 90 p. Format : 21 x 30 cm Note générale : bibliographie
Master 2 Géomatique, ScIences Géomatiques en environneMent et Aménagement (SIGMA)Langues : Français (fre) Descripteur : [Termes IGN] Alsace (France administrative)
[Termes IGN] analyse comparative
[Termes IGN] analyse de données
[Termes IGN] analyse de variance
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] BD forêt
[Termes IGN] chaîne de traitement
[Termes IGN] dalle
[Termes IGN] diamètre des arbres
[Termes IGN] échantillonnage (statistique)
[Termes IGN] échantillonnage de données
[Termes IGN] essence d'arbre
[Termes IGN] estimation statistique
[Termes IGN] feuillu
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] Inventaire Forestier National (organisme France)
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] modèle numérique de sursol
[Termes IGN] modèle numérique de terrain
[Termes IGN] peuplement forestier
[Termes IGN] photo-interprétation
[Termes IGN] Pinophyta
[Termes IGN] post-stratification de données
[Termes IGN] R (langage)
[Termes IGN] stratification de données
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) L’Inventaire Forestier National fournit des données de références concernant la forêt française depuis 1960. La méthode actuellement utilisée repose sur des points d’échantillonnage tirés au sort sur tout le territoire et photo-interprétés, puis pour certains visités, et sur un traitement des données par post-stratification. Celle-ci a jusqu’à présent toujours utilisé les mêmes informations, mais pourrait exploiter d’autres données disponibles, en particulier des modèles de hauteur. À partir de modèles numériques de terrain et d’élévation disponibles pour la région Alsace, un modèle numérique de « hauteur dominante » en huit classes de hauteur a été élaboré pour les forêts alsaciennes. La méthode mise en place vise à une automatisation maximale de ce travail grâce au logiciel R. Ce modèle, ainsi qu’une cartographie simplifiée des essences, ont servi de base à la mise en place de nouvelles stratifications des données sur la période 2010-2014. Celles-ci ont été comparées à la stratification de référence de l’inventaire sans ventilation des données ; puis les stratifications les plus intéressantes, qui se sont avérées être les plus simples, ont été comparées en ventilant les données par différents critères. La stratification par essences regroupées a amélioré les estimations pour les classes de peuplement, l’opposition feuillus / conifères et des essences fréquentes. La stratification par classes de hauteur est plus intéressante pour les classes de diamètre des arbres et la difficulté d’exploitation. Elles n’améliorent par contre pas les résultats par type de propriété forestière ou pour d’autres essences. Note de contenu : 1- L'inventaire des ressources forestières en France
2- La méthode d'inventaire de l'IFN depuis 2004
3- Utilisation de modèles de hauteur en stratification : données et méthodes
4- Résultats : comparaison entre les stratifications créées et la référence
5- Discussion
6- Conclusion généraleNuméro de notice : 24598 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Mémoire masters divers Organisme de stage : SIFE (IGN) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92171 Documents numériques
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Utilisation d’un modèle numérique... - pdf auteurAdobe Acrobat PDF Self-thinning in four pine species : an evaluation of potential climate impacts / Pau Brunet-Navarro in Annals of Forest Science, vol 73 n° 4 (December 2016)
[article]
Titre : Self-thinning in four pine species : an evaluation of potential climate impacts Type de document : Article/Communication Auteurs : Pau Brunet-Navarro, Auteur ; Frank J. Sterck, Auteur ; Jordi Vayreda, Auteur ; Jordi Martinez-Vilalta, Auteur ; Godefridus M.J. Mohren, Auteur Année de publication : 2016 Article en page(s) : pp 1025 - 1034 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] auto-éclaircie
[Termes IGN] Catalogne (Espagne)
[Termes IGN] changement climatique
[Termes IGN] diamètre des arbres
[Termes IGN] Pinus halepensis
[Termes IGN] Pinus mugo subsp. uncinata
[Termes IGN] Pinus nigra
[Termes IGN] Pinus sylvestris
[Termes IGN] variabilité
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (Auteur) Self-thinning lines are species- and climate-specific, and they should be used when assessing the capacity of different forest stands to increase biomass/carbon storage.
Context : The capacity of forests to store carbon can help to mitigate the effects of atmospheric CO2 rise and climate change. The self-thinning relationship (average size measure ∼ stand density) has been used to identify the potential capacity of biomass storage at a given density and to evaluate the effect of stand management on stored carbon. Here, a study that shows how the self-thinning line varies with species and climate is presented.
Aims : Our main objective is thus testing whether species identity and climate affect the self-thinning line and therefore the potential amount of carbon stored in living biomass.
Methods : The Ecological and Forest Inventory of Catalonia was used to calculate the self-thinning lines of four common coniferous species in Catalonia, NE Iberian Peninsula (Pinus halepensis, Pinus nigra, Pinus sylvestris and Pinus uncinata). Quadratic mean diameter at breast height was chosen as the average size measure. The self-thinning lines were used to predict the potential diameter at a given density and study the effect of environmental variability.
Results : Species-specific self-thinning lines were obtained. The self-thinning exponent was consistent with the predicted values of −3/2 and −4/3 for mass-based scaling for all species except P. sylvestris. Species identity and climatic variability within species affected self-thinning line parameters.
Conclusion : Self-thinning lines are species-specific and are affected by climatic conditions. These relationships can be used to refine predictions of the capacity of different forest stands to increase biomass/carbon storage.Numéro de notice : A2016--013 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1007/s13595-016-0585-y En ligne : http://dx.doi.org/10.1007/s13595-016-0585-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83859
in Annals of Forest Science > vol 73 n° 4 (December 2016) . - pp 1025 - 1034[article]Lidar detection of individual tree size in tropical forests / António Ferraz in Remote sensing of environment, vol 183 (15 September 2016)
[article]
Titre : Lidar detection of individual tree size in tropical forests Type de document : Article/Communication Auteurs : António Ferraz , Auteur ; Sassan Saatchi, Auteur ; Clément Mallet , Auteur ; Victoria Meyer, Auteur Année de publication : 2016 Projets : 1-Pas de projet / Article en page(s) : pp 318 - 333 Note générale : Bibliographie
António Ferraz's research was supported by an appointment to the NASA Postdoctoral Program at the Jet Propulsion Laboratory, administrated by Oak Ridge Associated Universities under contract with NASA(grant number NNH15CO48B).Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] allométrie
[Termes IGN] arbre (flore)
[Termes IGN] biomasse aérienne
[Termes IGN] biomasse forestière
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] Panama
[Termes IGN] semis de points
[Termes IGN] télédétection aérienneRésumé : (Auteur) Characterization of tropical forest trees has been limited to field-based techniques focused on measurement of diameter of the cylindrical part of the bole, with large uncertainty in measuring large trees with irregular shapes, and other size attributes such as total tree height and the crown size. Here, we introduce a methodology to decompose lidar point cloud data into 3D clusters corresponding to individual tree crowns (ITC) that enables the estimation of many biophysical variables of tropical forests such as tree height, crown area, crown volume, and tree number density. The ITC-based approach was tested using airborne high-resolution lidar data collected over the 50-ha Center for Tropical Forest Science (CTFS) plot in the Barro Colorado Island, Panama. The lack of tree height and crown size measurements in the field prohibits the direct validation of the ITC metrics. We assess the reliability of our method by comparing the aboveground biomass (AGB) estimated using ground and lidar individual tree measurements at multiple spatial scales, namely 1ha, 2.25 ha, 4ha, and 6.25 ha. We examined four different lidar-derived AGB models, with three based on individual tree height, crown volume, and crown area, and one with mean top canopy height (TCH) calculated at the plot level using the lidar canopy height model. Results show that the predictive power of all models based on ITC size and TCH increases with decreasing spatial resolution from16.9% at 1ha for the worst model to 5.0% at 6.25ha for the best model. The TCH-based model performed slightly better than ITC-based models except at higher spatial scales (~4 ha) and when errors due to edge effects associated with tree crowns were reduced. Unlike the TCH models that change regionally depending on forest type and structure allometry, the ITC-based models are derived as a function of individual tree allometry and can be extended globally to all tropical forests. The method for lidar detection of individual crown size overcome some limitations of ground-based inventories such as 1) it is able to access crowns of large trees and 2) it enables the assessment of directional changes in tree density, canopy architecture and forest dynamics over large and inaccessible areas to support robust tropical ecological studies. Numéro de notice : A2016--103 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2016.05.028 Date de publication en ligne : 21/06/2016 En ligne : http://doi.org/10.1016/j.rse.2016.05.028 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84669
in Remote sensing of environment > vol 183 (15 September 2016) . - pp 318 - 333[article]Propagating uncertainty through individual tree volume model predictions to large-area volume estimates / Ronald E. McRoberts in Annals of Forest Science, vol 73 n° 3 (September 2016)
[article]
Titre : Propagating uncertainty through individual tree volume model predictions to large-area volume estimates Type de document : Article/Communication Auteurs : Ronald E. McRoberts, Auteur ; James A. Westfall, Auteur Année de publication : 2016 Article en page(s) : pp 625 – 633 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] diamètre des arbres
[Termes IGN] hauteur des arbres
[Termes IGN] incertitude des données
[Termes IGN] modèle de simulation
[Termes IGN] prédiction
[Termes IGN] propagation d'erreur
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Key message : The effects on large-area volume estimates of uncertainty in individual tree volume model predictions were negligible when using simple random sampling estimators for large-area estimation, but non-negligible when using stratified estimators which reduced the effects of sampling variability.
Context : Forest inventory estimates of tree volume for large areas are typically calculated by adding model predictions of volumes for individual trees at the plot level and calculating the per unit area mean over plots. The uncertainty in the model predictions is generally ignored with the result that the precision of the large-area volume estimate is optimistic.
Aims : The primary objective was to estimate the effects on large-area volume estimates of volume model prediction uncertainty due to diameter and height measurement error, parameter uncertainty, and model residual variance.
Methods : Monte Carlo simulation approaches were used because of the complexities associated with multiple sources of uncertainty, the non-linear nature of the models, and heteroskedasticity.
Results : The effects of model prediction uncertainty on large-area volume estimates of growing stock volume were negligible when using simple random sampling estimators. However, with stratified estimators that reduce the effects of sampling variability, the effects of model prediction uncertainty were not necessarily negligible. The adverse effects of parameter uncertainty and residual variance were greater than the effects of diameter and height measurement errors.
Conclusion : The uncertainty of large-area volume estimates that do not account for model prediction uncertainty should be regarded with caution.Numéro de notice : A2016-711 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0473-x Date de publication en ligne : 22/04/2015 En ligne : https://doi.org/10.1007/s13595-015-0473-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82089
in Annals of Forest Science > vol 73 n° 3 (September 2016) . - pp 625 – 633[article]Airborne lidar estimation of aboveground forest biomass in the absence of field inventory / António Ferraz in Remote sensing, vol 8 n° 8 (August 2016)PermalinkAllometric models for estimating tree volume and aboveground biomass in lowland forests of Tanzania / Wilson Ancelm Mugasha in International journal of forestry research, vol 2016 ([01/08/2016])PermalinkBasal area and diameter distribution estimation using stereoscopic hemispherical images / Mariola Sánchez-González in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)PermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkModélisation de la structure en diamètre des reboisements et des peuplements naturels de Cèdre de l’Atlas (Cedrus atlantica Manetti) du Djurdjura (Algérie) / Khellaf Rabhi in Revue forestière française, vol 68 n° 1 (janvier 2016)PermalinkA review of forest and tree plantation biomass equations in Indonesia / Kamalakumari Anitha in Annals of Forest Science, vol 72 n° 8 (December 2015)PermalinkModeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain / Daniel J. Vega-Nieva in Annals of Forest Science, vol 72 n° 7 (October 2015)PermalinkStand density, tree social status and water stress influence allocation in height and diameter growth of Quercus petraea (Liebl.) / Raphaël Trouvé in Tree Physiology, vol 35 n° 10 (October 2015)PermalinkModeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar / Qi Chen in ISPRS Journal of photogrammetry and remote sensing, vol 106 (August 2015)PermalinkComparaison de méthodes de spatialisation pour l'agrégation par parcelle des estimations de paramètres forestiers par lidar aéroporté / Jean-Matthieu Monnet in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)Permalink