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Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > phytogéographie > inventaire de la végétation > inventaire forestier étranger (données)
inventaire forestier étranger (données)
Commentaire :
- Résultats du dénombrement des arbres d'un peuplement forestier, d'une forêt ou de l'ensemble des forêts d'une zone donnée, par essences, classes de dimension et autres caractéristiques. Des mesures complémentaires peuvent être effectuées sur certains arbres pour en connaître les volumes, accroissements et autres caractéristiques. L'inventaire est complet (pied à pied) ou statistique (par échantillonnage) selon que sont dénombrés tous les arbres ou seulement ceux présents sur des placettes échantillons implantées dans les peuplements à inventorier. (Vocab. forestier / Bastien)
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Stem quality assessment in European National Forest Inventories: an opportunity for harmonised reporting? / Michal Bosela in Annals of Forest Science, vol 73 n° 3 (September 2016)
[article]
Titre : Stem quality assessment in European National Forest Inventories: an opportunity for harmonised reporting? Type de document : Article/Communication Auteurs : Michal Bosela, Auteur ; John Redmond, Auteur ; Miloš Kučera, Auteur Année de publication : 2016 Article en page(s) : pp 635 – 648 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Europe (géographie politique)
[Termes IGN] évaluation des données
[Termes IGN] harmonisation des données
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] qualité des données
[Termes IGN] tronc
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Key message : The potential of European National Forest Inventories to harmonise stem quality estimation in European forests was identified despite considerable differences in existing national approaches.
Context : Knowledge on stem quality and assortments structure in European forests is highly important for policy makers and the timber industry and also for carbon life cycle analysis due to the fact that different timber products have different end use and thus store carbon for different time periods.
Aims : The study aim was to evaluate the potential of European National Forest Inventories (NFI) to objectively report on the stem quality in European forests in a harmonised manner.
Methods : A comprehensive questionnaire was conducted as the first important step to evaluate the current status of stem quality assessment and assess the existing level of harmonisation.
Results : Direct stem quality assessment or classification is used in 19 out of 28 European NFIs. Only eight countries provide timber assortment estimates from their NFIs. In addition, different sampling strategies for stem quality assessment are used among NFIs. Tree parameters relevant for stem quality assessment on standing trees were identified for the purpose of harmonisation. Several methods towards harmonisation between European NFIs for the purpose of reporting on stem quality of European forests were suggested.
Conclusion : Current European NFIs are not capable of reporting the stem quality of European forests in a harmonised manner at this stage and considerable efforts will need to be taken before the harmonised stem quality estimation can be prepared. However, the inquiry also revealed that there is a potential to develop the harmonised estimations in future.Numéro de notice : A2016-712 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0503-8 Date de publication en ligne : 31/07/2015 En ligne : https://doi.org/10.1007/s13595-015-0503-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82090
in Annals of Forest Science > vol 73 n° 3 (September 2016) . - pp 635 – 648[article]Basal area and diameter distribution estimation using stereoscopic hemispherical images / Mariola Sánchez-González in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 8 (August 2016)
[article]
Titre : Basal area and diameter distribution estimation using stereoscopic hemispherical images Type de document : Article/Communication Auteurs : Mariola Sánchez-González, Auteur ; Miguel Cabrera, Auteur ; Pedro Javier Herrera, Auteur Année de publication : 2016 Article en page(s) : pp 605 - 616 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] appariement d'images
[Termes IGN] courbe de Pearson
[Termes IGN] diamètre des arbres
[Termes IGN] image hémisphérique
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] modèle stéréoscopique
[Termes IGN] placette d'échantillonnage
[Termes IGN] surface terrière
[Termes IGN] tronc
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) In recent years, proximal sensing data has increasingly been used to optimize forest inventories. In this paper, we present a forest inventory methodology based on stereoscopic hemispherical images. An automated pixel-based approach and a user-guided “region growing” approach have been developed for image matching. To estimate the basal area, number of trees and mean diameter, the sampling probability is determined for each tree. The accuracy and precision of the estimates derived from stereoscopic hemispherical images was analyzed for a set of National Forest Inventory plots. The results revealed that tree matching depends on the species, the distance to the target tree and the diameter. The Pearson correlation coefficient was 0.86 for the mean diameter and 0.89 for the basal area, whereas for the number of trees per hectare it was 0.59. The proposed methods may be used in large scale forest inventories as a cost-efficient way of obtaining data on diameter distribution and basal area from field surveys following a two-stage scheme combined with remote sensing techniques. Numéro de notice : A2016-607 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.82.8.605 En ligne : http://dx.doi.org/10.14358/PERS.82.8.605 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81805
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 8 (August 2016) . - pp 605 - 616[article]Silvicultural climatic turning point for European beech and sessile oak in Western Europe derived from national forest inventories / Klara Dolos in Forest ecology and management, vol 373 (1 August 2016)
[article]
Titre : Silvicultural climatic turning point for European beech and sessile oak in Western Europe derived from national forest inventories Type de document : Article/Communication Auteurs : Klara Dolos, Auteur ; Tobias Mette, Auteur ; Camilla Wellstein, Auteur Année de publication : 2016 Article en page(s) : pp 128 - 137 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Allemagne
[Termes IGN] analyse diachronique
[Termes IGN] changement climatique
[Termes IGN] Fagus sylvatica
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] modèle statistique
[Termes IGN] peuplement mélangé
[Termes IGN] Quercus sessiliflora
[Termes IGN] sol forestier
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Forests of temperate Europe are climate sensitive ecosystems, and the current balance between the tree species will shift as climate becomes warmer and potentially drier. Especially changes in the dominant species have a strong impact on forest ecosystems because they fundamentally change life conditions of plants and animals living in the forest. Mette et al. (2013) introduced the climatic turning point (CTP) as a concept that marks the climatic conditions where such a change in species dominance is expected to occur. While they modelled the CTP for European beech (Fagus sylvatica) and sessile oak (Quercus petraea) from environmentally sensitive forest growth models, this study determined the CTP between beech and oak from national forest inventories in Western Europe. We ask (1) under which climate conditions the inventory-based CTP occurs, (2) whether it is modified by soil type and (3) how it differs from other CTP references like the Ellenberg quotient (Ellenberg, 1963). The CTP from beech to oak occurred approximately at mean annual temperatures above 8–9 °C if annual precipitation was below 600 mm and rose to 11–12 °C for annual precipitation exceeding 900 mm. This relation was strongly modified by soil type. Compared to Ellenberg (1963) and Mette et al. (2013), oak replaced beech at far more moderate climatic conditions (EQ 20–30). This can be attributed to the silvicultural history of forest stands: the inventory-based CTP signal carries the century old anthropogenic preference for oak. We expand the CTP concept that was until now based on natural competition by a “silvicultural” CTP that is contained in large-scale inventory data. It thereby implicitly incorporates the question how silviculture and social-cultural values impact the balance between species. Climate change projections indeed suggested that large parts of Western Europe will cross the silvicultural CTP. Numéro de notice : A2016--203 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2016.04.018 Date de publication en ligne : 27/04/2016 En ligne : https://doi.org/10.1016/j.foreco.2016.04.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96040
in Forest ecology and management > vol 373 (1 August 2016) . - pp 128 - 137[article]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]Nationwide airborne laser scanning based models for volume, biomass and dominant height in Finland / Eetu Kotivuori in Silva fennica, vol 50 n° 4 (2016)
[article]
Titre : Nationwide airborne laser scanning based models for volume, biomass and dominant height in Finland Type de document : Article/Communication Auteurs : Eetu Kotivuori, Auteur ; Lauri Korhonen, Auteur ; Petteri Packalen, Auteur Année de publication : 2016 Article en page(s) : 280 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse aérienne
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] modèle de simulation
[Termes IGN] régression
[Termes IGN] volume en bois
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The aim of this study was to examine how well stem volume, above-ground biomass and dominant height can be predicted using nationwide airborne laser scanning (ALS) based regression models. The study material consisted of nine practical ALS inventory projects taken from different parts of Finland. We used field sample plots and airborne laser scanning data to create nationwide and regional models for each response variable. The final models had one or two ALS predictors, which were chosen based on the root mean square error (RMSE), and cross-validated. Finally, we tested how much predictions would improve if the nationwide models were calibrated with a small number of regional sample plots. Although forest structures differ among different parts of Finland, the nationwide volume and biomass models performed quite well (leave-inventory-area-out RMSE 22.3% to 33.8%, mean difference [MD] –13.8% to 18.7%) compared with regional models (leave-plot-out RMSE 20.2% to 26.8%). However, the nationwide dominant height model (RMSE 5.4% to 7.7%, MD –2.0% to 2.8%, with the exception of the Tornio region – RMSE 11.4%, MD –9.1%) performed nearly as well as the regional models (RMSE 5.2% to 6.7%). The results show that the nationwide volume and biomass models provided different means than real means at regional level, because forest structure and ALS device have a considerable effect on the predictions. Large MDs appeared especially in northern Finland. Local calibration decreased the MD and RMSE of volume and biomass models. However, the nationwide dominant height model did not benefit much from calibration. Numéro de notice : A2016--113 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.14214/sf.1567 En ligne : https://doi.org/10.14214/sf.1567 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84766
in Silva fennica > vol 50 n° 4 (2016) . - 280 p.[article]Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods / X. Tang in Annals of forest research, vol 59 n° 2 (July - December 2016)PermalinkValidation of medium-scale historical maps of southern Latvia for evaluation of impact of continuous forest cover on the present-day mean stand area and tree species richness / Anda Fescenko in Baltic forestry, vol 22 n° 1 ([01/02/2016])PermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkDistribution patterns of forest species along an Atlantic-Mediterranean environmental gradient: an approach from forest inventory data / A. Olthoff in Forestry, an international journal of forest research, vol 89 n° 1 (January 2016)PermalinkForest inventory, assessment, and monitoring, and long-term forest observational studies, with special reference to India / V.P. Tewari in Forest science and technology, vol 12 n° 1 ([01/01/2016])PermalinkEvaluating the impact of leaf-on and leaf-off airborne laser scanning data on the estimation of forest inventory attributes with the area-based approach / Joanne C. White in Canadian Journal of Forest Research, vol 45 n° 11 (November 2015)PermalinkForest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI / Yuanwei Qin in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkLinear models for airborne-laser-scanning-based operational forest inventory with small field sample size and highly correlated LiDAR data / Virpi Junttila in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)PermalinkTropical forest canopy cover estimation using satellite imagery and airborne lidar reference data / Lauri Korhonen in Silva fennica, vol 49 n° 5 ([01/10/2015])PermalinkHow much do we know about the endangered Atlantic Forest? Reviewing nearly 70 years of information on tree community surveys / Renato A.F. de Lima in Biodiversity & Conservation, vol 24 n° 9 (September 2015)PermalinkSite suitability for tree species: Is there a positive relation between a tree species’ occurrence and its growth? / Klara Dolos in European Journal of Forest Research, vol 134 n° 4 (July 2015)PermalinkComparing individual-tree approaches for predicting height growth of underplanted seedlings / John M. Lhotka in Annals of Forest Science, vol 72 n° 4 (June 2015)PermalinkAn improved species distribution model for Scots pine and downy oak under future climate change in the NW Italian Alps / Giorgio Vacchiano in Annals of Forest Science, vol 72 n° 3 (May 2015)PermalinkDo competition-density rule and self-thinning rule agree? / Sonja Vospernik in Annals of Forest Science, vol 72 n° 3 (May 2015)PermalinkResponse of Swiss forests to management and climate change in the last 60 years / Meinrad Küchler in Annals of Forest Science, vol 72 n° 3 (May 2015)PermalinkForest inventory attribute estimation using airborne laser scanning, aerial stereo imagery, radargrammetry and interferometry–Finnish experiences of the 3D techniques / Markus Holopainen in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W4 (March 2015)PermalinkBiomass estimation with high resolution satellite images: A case study of Quercus rotundifolia / Adelia M.O. Sousa in ISPRS Journal of photogrammetry and remote sensing, vol 101 (March 2015)PermalinkAssessing forest inventory information obtained from different inventory approaches and remote sensing data sources / Even Bergseng in Annals of Forest Science, vol 72 n° 1 (January 2015)PermalinkPermalinkComparison of methods toward multi-scale forest carbon mapping and spatial uncertainty analysis: combining national forest inventory plot data and landsat TM images / Andrew L. Fleming in European Journal of Forest Research, vol 134 n° 1 (January 2015)PermalinkPermalinkUse of remotely sensed auxiliary data for improving sample-based forest inventories / Svetlana Saarela (2015)PermalinkAssessing changes in species distribution from sequential large-scale forest inventories / Laura Hernandez in Annals of Forest Science, vol 71 n° 2 (March 2014)PermalinkLa forêt luxembourgeoise en chiffres : Résultats de l'Inventaire Forestier National au Grand-Duché de Luxembourg 2009 - 2011 / Jacques Rondeux (2014)PermalinkAssessing the effect of snow/water obstructions on the measurement of tree seedlings in a large-scale temperate forest inventory / C. W. Woodall in Forestry, an international journal of forest research, vol 86 n° 4 (October 2013)PermalinkEffects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm / Jaehoon Jung in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkSeeing the wood for the trees: Opentreemap is helping individuals, organisations and governments to collaborate in mapping, tending and preserving 'urban forest' / Deborah Boyer in GEO: Geoconnexion international, vol 12 n° 4 (april 2013)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)PermalinkAnomalous diameter distribution shifts estimated from FIA inventories through time / Francis A. Roesch in Forestry, an international journal of forest research, vol 83 n° 3 (July 2010)PermalinkLes inventaires forestiers nationaux, observatoires et tableaux de bord permanent des espaces boisés, journée d'étude, 12 mai 2010, Gembloux, Belgique / Jacques Rondeux (2010)PermalinkTree mortality in a mixed deciduous forest in Northwestern Russia over 22 years / Igor Drobyshev in Annals of Forest Science, Vol 66 n° 4 (June 2009)PermalinkPortrait de l'évolution de la forêt publique sous aménagement du Québec méridional des années 1970 aux années 2000 / Ministère des ressources naturelles et de la faune (Canada) (2009)PermalinkPermalinkOrganic carbon stocks and stock changes of forest biomass in Belgium derived from forest inventory data in a spatially explicit approach / Suzanna Lettens in Annals of Forest Science, Vol 65 n° 6 (September 2008)PermalinkEstablishing forest inventory reference definitions for forest and growing stock: a study towards common reporting / Claude Vidal in Silva fennica, vol 42 n° 2 (2008)PermalinkCanada-wide maps of dominant tree species from remotely sensed and ground data / G. Pavlic in Geocarto international, vol 22 n° 3 (September - November 2007)PermalinkMERIS-FR potential for land use-land cover mapping / S. Garcia-Gigorro in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)PermalinkLe premier inventaire forestier systématique de la Slovaquie / François Bergeot in Revue forestière française, vol 59 n° 2 (mars - avril 2007)PermalinkEstimation of local forest attributes, utilizing two-phase sampling and auxiliary data / Sakari Tuominen (2007)PermalinkPermalinkModel-based prediction error uncertainty estimation for K-NN method / H.J. Kim in Remote sensing of environment, vol 104 n° 3 (15/10/2006)PermalinkComparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps / Lars T. Waser in International journal of applied Earth observation and geoinformation, vol 8 n° 3 (September 2006)PermalinkProceedings of the 8th Annual Forest Inventory and Analysis Symposium, 2006, October 16-19, Monterey, CA / Ronald E. McRoberts (2006)PermalinkAssesment of manual and automated methods for updating stand-level forest inventories based on aerial photography / Perttu Antilla (2005)PermalinkProceedings of the sixth Annual Forest Inventory and Analysis Symposium, 2004 September 21-24, Denver, Colorado / Ronald E. McRoberts (2004)Permalink