Descripteur
Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > phytogéographie
phytogéographie
Commentaire :
écologie végétale. >> inventaire de la végétation, distribution géographique, acclimatation (botanique), phytogéographie, introduction (botanique), migration (botanique), plante endémique, réintroduction (botanique), plante allochtone. >>Terme(s) spécifique(s) : limite de la végétation. Equiv. LCSH : Phytogeography. Domaine(s) : 570; 580. |
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Mapping forest characteristics at fine resolution across large landscapes of the southeastern united states using NAIP imagery and FIA field plot data / John Hogland in ISPRS International journal of geo-information, vol 7 n° 4 (April 2018)
[article]
Titre : Mapping forest characteristics at fine resolution across large landscapes of the southeastern united states using NAIP imagery and FIA field plot data Type de document : Article/Communication Auteurs : John Hogland, Auteur ; Nathaniel Anderson, Auteur ; Joseph St. Peter, Auteur ; Jason Drake, Auteur ; Paul Medley, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] composition floristique
[Termes IGN] densité du bois
[Termes IGN] Etats-Unis
[Termes IGN] image aérienne
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Pinus (genre)
[Termes IGN] surface terrière
[Termes IGN] télédétection aérienne
[Vedettes matières IGN] Inventaire forestierRésumé : (Auteur) Accurate information is important for effective management of natural resources. In the field of forestry, field measurements of forest characteristics such as species composition, basal area, and stand density are used to inform and evaluate management activities. Quantifying these metrics accurately across large landscapes in a meaningful way is extremely important to facilitate informed decision-making. In this study, we present a remote sensing based methodology to estimate species composition, basal area and stand tree density for pine and hardwood tree species at the spatial resolution of a Forest Inventory Analysis (FIA) program plot (78 m by 70 m). Our methodology uses textural metrics derived at this spatial scale to relate plot summaries of forest characteristics to remotely sensed National Agricultural Imagery Program (NAIP) aerial imagery across broad extents. Our findings quantify strong relationships between NAIP imagery and FIA field data. On average, models of basal area and trees per acre accounted for 43% of the variation in the FIA data, while models identifying species composition had less than 15.2% error in predicted class probabilities. Moreover, these relationships can be used to spatially characterize the condition of forests at fine spatial resolutions across broad extents. Numéro de notice : A2018-109 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7040140 En ligne : https://doi.org/10.3390/ijgi7040140 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89538
in ISPRS International journal of geo-information > vol 7 n° 4 (April 2018)[article]Recent growth trends of black pine (Pinus nigra J.F. Arnold) in the eastern mediterranean / Ellen Janssen in Forest ecology and management, vol 412 (15 March 2018)
[article]
Titre : Recent growth trends of black pine (Pinus nigra J.F. Arnold) in the eastern mediterranean Type de document : Article/Communication Auteurs : Ellen Janssen, Auteur ; Vincent Kint, Auteur ; Jean-Daniel Bontemps , Auteur ; Kürşad Özkan, Auteur ; Ahmet Mert, Auteur ; Nesibe Köse, Auteur ; Bilgin Icel, Auteur ; Bart Muys, Auteur Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : pp 21 - 28 Note générale : bibliographie
This work was supported by the Belgian Programme on Interuniversity Poles of Attraction, the Research Fund of the University of Leuven and the Research Foundation Flanders (FWO).Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] bassin méditerranéen
[Termes IGN] changement climatique
[Termes IGN] croissance des arbres
[Termes IGN] dendrochronologie
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Pinus nigra
[Termes IGN] Turquie
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Past and present environmental changes cause significant changes in tree growth in many parts of the world, where both decreasing and increasing growth trends have been detected over the last decades. The Mediterranean basin is especially sensitive to climate change and subsequent tree growth declines. In this article, we present the first study on recent tree growth trends in Turkey. Pinus nigra is a drought-sensitive species and one of the most common and economically important native conifers to Turkey. Tree-ring cores were taken from 61 Pinus nigra plots spread over the entire Lakes District (Southwest Turkey), near the species’ southern range limit. The samples cover the 1839–2013 time period. We apply the Regional Curve Standardization technique and statistical modeling to the tree ring width data to investigate long-term growth trends. Both methods show remarkably similar results: a slowly increasing growth trend until the 1970s, followed by a decreasing trend. This recent negative trend is highly correlated with increased temperature and drought in summer, which suggests that it is likely caused by climate change. Numéro de notice : A2018-520 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.01.047 Date de publication en ligne : 06/02/2018 En ligne : https://doi.org/10.1016/j.foreco.2018.01.047 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91404
in Forest ecology and management > vol 412 (15 March 2018) . - pp 21 - 28[article]Harmonic regression of Landsat time series for modeling attributes from national forest inventory data / Barry T. Wilson in ISPRS Journal of photogrammetry and remote sensing, vol 137 (March 2018)
[article]
Titre : Harmonic regression of Landsat time series for modeling attributes from national forest inventory data Type de document : Article/Communication Auteurs : Barry T. Wilson, Auteur ; Joseph F. Knight, Auteur ; Ronald E. McRoberts, Auteur Année de publication : 2018 Article en page(s) : pp 29 - 46 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] attribut
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] image Landsat
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Minnesota (Etats-Unis)
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] régression harmonique
[Termes IGN] série temporelleRésumé : (Auteur) Imagery from the Landsat Program has been used frequently as a source of auxiliary data for modeling land cover, as well as a variety of attributes associated with tree cover. With ready access to all scenes in the archive since 2008 due to the USGS Landsat Data Policy, new approaches to deriving such auxiliary data from dense Landsat time series are required. Several methods have previously been developed for use with finer temporal resolution imagery (e.g. AVHRR and MODIS), including image compositing and harmonic regression using Fourier series. The manuscript presents a study, using Minnesota, USA during the years 2009–2013 as the study area and timeframe. The study examined the relative predictive power of land cover models, in particular those related to tree cover, using predictor variables based solely on composite imagery versus those using estimated harmonic regression coefficients. The study used two common non-parametric modeling approaches (i.e. k-nearest neighbors and random forests) for fitting classification and regression models of multiple attributes measured on USFS Forest Inventory and Analysis plots using all available Landsat imagery for the study area and timeframe. The estimated Fourier coefficients developed by harmonic regression of tasseled cap transformation time series data were shown to be correlated with land cover, including tree cover. Regression models using estimated Fourier coefficients as predictor variables showed a two- to threefold increase in explained variance for a small set of continuous response variables, relative to comparable models using monthly image composites. Similarly, the overall accuracies of classification models using the estimated Fourier coefficients were approximately 10–20 percentage points higher than the models using the image composites, with corresponding individual class accuracies between six and 45 percentage points higher. Numéro de notice : A2018-077 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.01.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89439
in ISPRS Journal of photogrammetry and remote sensing > vol 137 (March 2018) . - pp 29 - 46[article]Réservation
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[article]
Titre : How much does climate change threaten European forest tree species distributions? Type de document : Article/Communication Auteurs : Marcin K. Dyderski, Auteur ; Sonia Paz, Auteur ; Lee E. Frelich, Auteur ; Andrzej M. Jagodzinski, Auteur Année de publication : 2018 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies alba
[Termes IGN] Betula pendula
[Termes IGN] changement climatique
[Termes IGN] distribution spatiale
[Termes IGN] Fagus sylvatica
[Termes IGN] forêt tempérée
[Termes IGN] Fraxinus excelsior
[Termes IGN] gestion forestière
[Termes IGN] habitat (nature)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Larix decidua
[Termes IGN] modèle de simulation
[Termes IGN] Picea abies
[Termes IGN] Pinus sylvestris
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] Quercus pedunculata
[Termes IGN] Quercus rubra
[Termes IGN] Quercus sessiliflora
[Termes IGN] Robinia pseudoacacia
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Although numerous species distribution models have been developed, most were based on insufficient distribution data or used older climate change scenarios. We aimed to quantify changes in projected ranges and threat level by the years 2061-2080, for 12 European forest tree species under three climate change scenarios. We combined tree distribution data from the Global Biodiversity Information Facility, EUFORGEN and forest inventories, and we developed species distribution models using MaxEnt and 19 bioclimatic variables. Models were developed for three climate change scenarios – optimistic (RCP2.6), moderate (RCP4.5) and pessimistic (RPC8.5) – using three General Circulation Models, for the period 2061-2080. Our study revealed different responses of tree species to projected climate change. The species may be divided into three groups: “winners” – mostly late-successional species: Abies alba, Fagus sylvatica, Fraxinus excelsior, Quercus robur and Q. petraea; “losers” – mostly pioneer species: Betula pendula, Larix decidua, Picea abies and Pinus sylvestris and alien species – Pseudotsuga menziesii, Q. rubra and Robinia pseudoacacia, which may be also considered as “winners”. Assuming limited migration, most of the species studied would face significant decrease of suitable habitat area. The threat level was highest for species that currently have the northernmost distribution centers. Ecological consequences of the projected range contractions would be serious for both forest management and nature conservation. Numéro de notice : A2018-379 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1111/gcb.13925 En ligne : http://doi.org/10.1111/gcb.13925 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87220
in Global change biology > vol 24 n° 3 (March 2018)[article]Value of airborne laser scanning and digital aerial photogrammetry data in forest decision making / Annika S. Kangas in Silva fennica, vol 52 n° 1 ([01/02/2018])
[article]
Titre : Value of airborne laser scanning and digital aerial photogrammetry data in forest decision making Type de document : Article/Communication Auteurs : Annika S. Kangas, Auteur ; Terje Gobakken, Auteur ; Stefano Puliti, Auteur ; Marius Hauglin, Auteur ; Erik Naesset, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] aide à la décision
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] image aérienne
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Norvège
[Termes IGN] qualité des données
[Termes IGN] volume en bois
[Vedettes matières IGN] Inventaire forestierRésumé : (Auteur) Airborne laser scanning (ALS) has been the main method for acquiring data for forest management planning in Finland and Norway in the last decade. Recently, digital aerial photogrammetry (DAP) has provided an interesting alternative, as the accuracy of stand-based estimates has been quite close to that of ALS while the costs are markedly smaller. Thus, it is important to know if the better accuracy of ALS is worth the higher costs for forest owners. In many recent studies, the value of forest inventory information in the harvest scheduling has been examined, for instance through cost-plus-loss analysis. Cost-plus-loss means that the quality of the data is accounted for in monetary terms through calculating the losses due to errors in the data in the forest management planning context. These costs are added to the inventory costs. In the current study, we compared the losses of ALS and DAP at plot level. According to the results, the data produced using DAP are as good as data produced using ALS from a decision making point of view, even though ALS is slightly more accurate. ALS is better than DAP only if the data will be used for more than 15 years before acquiring new data, and even then the difference is quite small. Thus, the increased errors in DAP do not significantly affect the results from a decision making point of view, and ALS and DAP data can be equally well recommended to the forest owners for management planning. The decision of which data to acquire, can thus be made based on the availability of the data on first hand and the costs of acquiring it on the second hand. Numéro de notice : A2018-498 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14214/sf.9923 Date de publication en ligne : 24/01/2018 En ligne : https://doi.org/10.14214/sf.9923 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91187
in Silva fennica > vol 52 n° 1 [01/02/2018][article]PermalinkPermalinkEvaluer les ressources forestières pour éclairer la prise de décision [diaporama] / Antoine Colin (2018)PermalinkFlore d'Auvergne et Limousin : clé d'identification de la flore auvergnate et limousine / Pascal Duboc (2018)PermalinkPermalinkPermalinkPermalinkFrom Google Maps to a fine-grained catalog of street trees / Steve Branson in ISPRS Journal of photogrammetry and remote sensing, vol 135 (January 2018)PermalinkPermalinkPermalinkOutil d'aide à la décision pour les territoires forestiers (exemple du Plan d’Approvisionnement Territorial du PNR des Boucles de la Seine Normande) [diaporama] / Silvère Gabet (2018)PermalinkProgresser dans la quantification de la biomasse forestière française (les premiers résultats du projet XyloDensMap, un projet INRA/IGN) [diaporama] / Jean-Michel Leban (2018)PermalinkQuelles recherches pour et avec l'Inventaire Forestier National ? [diaporama] / François Houllier (2018)PermalinkRapport d'activité 2017 de l'Institut National de l'Information Géographique et Forestière IGN / Institut national de l'information géographique et forestière (2012 -) (2018)PermalinkPermalinkPermalinkPermalinkTowards assessment of cork production through National Forest Inventories / Maria Pasalodos-Tato in Forestry, an international journal of forest research, vol 91 n° 1 (January 2018)PermalinkL’utilisation des données écologiques de l’inventaire pour mieux appréhender les conditions locales de milieu (atelier de travail) [diaporama] / Philippe Dreyfus (2018)PermalinkL’utilisation des données écologiques de l’inventaire pour mieux appréhender les conditions locales de milieu [diaporama] / Thomas Brusten (2018)PermalinkDigital aerial photogrammetry can efficiently support large-area forest inventories in Norway / Lars Johannes in Forestry, an international journal of forest research, vol 90 n° 5 (December 2017)PermalinkEffect of occupation time on the horizontal accuracy of a mapping-grade GNSS receiver under dense forest canopy / Robert J. McGaughey in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 12 (December 2017)PermalinkMicrotopography and ecology of pit-mound structures in second-growth versus old-growth forests / Audrey Barker Plotkin in Forest ecology and management, vol 404 (15 November 2017)PermalinkTree size thresholds produce biased estimates of forest biomass dynamics / Eric B. Searle in Forest ecology and management, vol 400 (15 September 2017)PermalinkBiodiversity effects on ecosystem functioning in a 15-year grassland experiment: patterns, mechanisms, and open questions / Wolfgang W. Weisser in Basic and Applied Ecology, vol 23 (September 2017)PermalinkInventaire faune, flore et habitats sur la zone humide de Petelin (Corbelin et Veyrins-Thuellin, Nord-Isère) / Alexandre Gauthier in Lo Parvi, n° 25 (2017)PermalinkA Markov chain model for simulating wood supply from any-aged forest management based on national forest inventory (NFI) data / Jari Vauhkonen in Forests, vol 8 n° 9 (September 2017)PermalinkA spatial dataset of forest mensuration collected in black pine plantations in central Italy / Paolo Cantiani in Annals of Forest Science, vol 74 n° 3 (September 2017)PermalinkHybrid three-phase estimators for large-area forest inventory using ground plots, airborne lidar, and space lidar / Sören Holm in Remote sensing of environment, vol 197 (August 2017)PermalinkImage matching as a data source for forest inventory – Comparison of semi-global matching and next-generation automatic terrain extraction algorithms in a typical managed boreal forest environment / Mari Kukkonen in International journal of applied Earth observation and geoinformation, vol 60 (August 2017)PermalinkImproving Finnish multi-source national forest inventory by 3D aerial imaging / Sakari Tuominen in Silva fennica, vol 51 n° 4 (2017)PermalinkFusing tree‐ring and forest inventory data to infer influences on tree growth / Margaret E.K. Evans in Ecosphere, vol 8 n° 7 (July 2017)PermalinkEstimating the spatial distribution, extent and potential lignocellulosic biomass supply of Trees Outside Forests in Baden-Wuerttemberg using airborne LiDAR and OpenStreetMap data / Joachim Maack in International journal of applied Earth observation and geoinformation, vol 58 (June 2017)PermalinkRecent growth changes in Western European forests are driven by climate warming and structured across tree species climatic habitats / Marie Charru in Annals of Forest Science, vol 74 n° 2 (June 2017)PermalinkTerrestrial Laser Scanning for forest inventories : Tree diameter distribution and scanner location impact on occlusion / Meinrad Abegg in Forests, vol 8 n° 6 (June 2017)PermalinkApproche d’estimation du volume-tige de peuplements forestiers par combinaison de données Landsat et données terrain : Application à la pineraie de Tlemcen-Algérie / Kada Bencherif in Revue Française de Photogrammétrie et de Télédétection, n° 215 (mai - août 2017)PermalinkA cyber-enabled spatial decision support system to inventory mangroves in Mozambique: coupling scientific workflows and cloud computing / Wenwu Tang in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)PermalinkDeveloping an integrated cloud-based spatial-temporal system for monitoring phenology / M. Cope in Ecological Informatics, vol 39 (May 2017)PermalinkIndividual tree basal area increment models for broadleaved forests in Bhutan / Jigme Tenzin in Forestry, an international journal of forest research, vol 90 n° 3 (May 2017)PermalinkSuivis nationaux de biodiversité en forêt en France : une lecture au travers des variables essentielles de biodiversité / Yoan Paillet in Naturae, n° 6 ([19/04/2017])PermalinkEvaluation des ressources forestières pour la bioéconomie : quels nouveaux besoins et comment y répondre ? / Jean-Christophe Hervé in Innovations Agronomiques, vol 56 (Mars 2017)PermalinkL’expansion séculaire des forêts françaises est dominée par l’accroissement du stock sur pied et ne sature pas dans le temps / Anaïs Denardou-Tisserand in Revue forestière française, vol 69 n° 4-5 (2017)PermalinkMapping forest attributes using data from stereophotogrammetry of aerial images and field data from the national forest inventory / Jonas Bohlin in Silva fennica, vol 51 n° 2 (2017)PermalinkMapping spatial distribution of forest age in China / Yuan Zhang in Earth and space science, vol 4 n° 3 (March 2017)PermalinkInconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions / Yan Li in Scientific reports, vol 7 (2017)PermalinkForest inventory-based projection systems for wood and biomass availability, ch. France [National woody biomass projection systems based on forest inventory - Projecting wood resources and potential wood supply of French forests: an approach to cope with forest system diversity] / Antoine Colin (2017)PermalinkHow does spatial scale affect species richness modelling? A test using remote sensing data and geostatistics / M. Marcantonio in Annali di Botanica, vol 7 (2017)PermalinkLe mémento inventaire forestier, édition 2017 / Institut national de l'information géographique et forestière (2012 -) (2017)PermalinkNew improvements in the French national forest inventory : towards the integration of forest resources assessment and ecosystem monitoring / François Morneau (2017)PermalinkUtilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National / Sophie Georges (2017)PermalinkDynamics of fungal community composition, decomposition and resulting deadwood properties in logs of Fagus sylvatica, Picea abies and Pinus sylvestris / Tobias Arnstadt in Forest ecology and management, vol 382 (15 December 2016)PermalinkA little disturbance goes a long way: 33-year understory successional responses to a thin tephra deposit / Dylan G. Fischer in Forest ecology and management, vol 382 (15 December 2016)PermalinkThe protective effect of forests against rockfalls across the French Alps: Influence of forest diversity / S. Dupire in Forest ecology and management, vol 382 (15 December 2016)PermalinkComparison of methods used in European National Forest Inventories for the estimation of volume increment: towards harmonisation / Thomas Gschwantner in Annals of Forest Science, vol 73 n° 4 (December 2016)PermalinkEstimates of stem wood increments in forest resources: comparison of different approaches in forest inventory: consequences for international reporting: case study of European forests / Andrius Kuliesis in Annals of Forest Science, vol 73 n° 4 (December 2016)Permalinkvol 73 n° 4 - December 2016 - Forest Inventories at the European level (Bulletin de Annals of Forest Science) / Jean-Michel LebanPermalinkFrom inventory to consumer biomass availability - the ITOC model / Udo Mantau in Annals of Forest Science, vol 73 n° 4 (December 2016)PermalinkOptimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species / Paulina E. Pinto in Ecological indicators, vol 71 (December 2016)PermalinkOverview of methods and tools for evaluating future woody biomass availability in European countries / Susana Barreiro in Annals of Forest Science, vol 73 n° 4 (December 2016)PermalinkPlot location errors of National Forest Inventory: related factors and adverse effects on continuity of plot data / Haruki Nakajima in Journal of Forest Research, vol 21 n° 6 (December 2016)PermalinkStatistical inference for forest structural diversity indices using airborne laser scanning data and the k-Nearest Neighbors technique / Matteo Mura in Remote sensing of environment, vol 186 (1 December 2016)PermalinkThe effects of temporal differences between map and ground data on map-assisted estimates of forest area and biomass / Ronald E. McRoberts in Annals of Forest Science, vol 73 n° 4 (December 2016)PermalinkThe role of European National Forest Inventories for international forestry reporting / Claude Vidal in Annals of Forest Science, vol 73 n° 4 (December 2016)PermalinkTree diversity effect on dominant height in temperate forest / Patrick Vallet in Forest ecology and management, vol 381 (1 December 2016)PermalinkL'inventaire forestier à façon : une réponse à des besoins locaux de connaissance de la ressource / Fabienne Benest in Forêt entreprise, n° 231 (novembre décembre 2016)PermalinkAboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data / Ibrahim Fayad in International journal of applied Earth observation and geoinformation, vol 52 (October 2016)PermalinkAutomatic segment-level tree species recognition using high resolution aerial winter imagery / Anton Kuzmin in European journal of remote sensing, vol 49 n° 1 (2016)PermalinkL’écocomplexe de Païolive en Ardèche méridionale (France) : un pic de biodiversité du hotspot méditerranéen / Patrick Blandin in Ecologia mediterranea, vol 42 n° 2 (2016)PermalinkEffect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory / Juha Keränen in International journal of applied Earth observation and geoinformation, vol 52 (October 2016)PermalinkA functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds / Magnussen, Steen in Remote sensing of environment, vol 184 (October 2016)PermalinkA robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data / Hamid Hamraz in International journal of applied Earth observation and geoinformation, vol 52 (October 2016)PermalinkDead wood availability in managed Swedish forests – Policy outcomes and implications for biodiversity / Bengt Gunnar Jonsson in Forest ecology and management, vol 376 (15 September 2016)PermalinkOptimal resolution for linking remotely sensed and forest inventory data in Europe / Adam Moreno in Remote sensing of environment, vol 183 (15 September 2016)PermalinkEstimating forest species abundance through linear unmixing of CHRIS/PROBA imagery / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)PermalinkFloristic composition and across-track reflectance gradient in Landsat images over Amazonian forests / Javier Muro in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)PermalinkInventaires : les bryophytes de la Réserve naturelle régionale des étangs de Mépieu / Frédéric Gourges in Lo Parvi, n° 24 (2016)PermalinkStem 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)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)PermalinkSilvicultural 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)PermalinkUnsupervised 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)PermalinkNationwide airborne laser scanning based models for volume, biomass and dominant height in Finland / Eetu Kotivuori in Silva fennica, vol 50 n° 4 (2016)PermalinkForest vegetation in western Romania in relation to climate variables: Does community composition reflect modelled tree species distribution? / S. Heinrichs in Annals of forest research, vol 59 n° 2 (July - December 2016)PermalinkInventory-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)PermalinkGéo-poppy, un serveur web SIG portable pour le recueil de données terrain / Julien Ancelin in Géomatique expert, n° 109 (mars - avril 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])PermalinkAbove-ground and below-ground competition between the willow Salix caprea and its understorey / Ondřej Mudrák in Journal of vegetation science, vol 27 n° 1 (January 2016)PermalinkAn interactive system for intrinsic validation of citizen science data for species distribution mapping and modelling applications / Hossein Vahidi (2016)PermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkCompléments d’inventaires floristiques des îles et îlots satellites du Parc national de Port-Cros (Porquerolles, Port-Cros et Giens, commune d’Hyères) et de l’île du Grand Rouveau (commune de Six-Fours) (Var, France) / Annie Aboucaya in Travaux scientifiques du parc national de Port-Cros, n° 30 (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])PermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2016)PermalinkMeasurement of the annual biomass increment of the French forests, XYLODENSMAP project [diaporama] / Jean-Michel Leban (2016)PermalinkRésultats d'inventaire forestier : méthodologie pour bien comprendre les résultats publiés 2011- 2015 / Institut national de l'information géographique et forestière (2012 -) (2016)PermalinkLa valorisation des données écologiques de l’inventaire forestier de l’IGN / Marie-Françoise Slak (2016)PermalinkSemi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)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])PermalinkEffet de l’exposition sur la richesse et la composition floristique des lisières forestières dans le Gâtinais oriental (Loiret) / Richard Chevalier in Revue forestière française, vol 67 n° 5 (septembre 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)PermalinkRecommendations for the use of tree models to estimate national forest biomass and assess their uncertainty / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)PermalinkDetection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation / Przemyslaw Polewski in ISPRS Journal of photogrammetry and remote sensing, vol 105 (July 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)PermalinkDetermination of the spatial structure of vegetation on the repository of the mine “Fryderyk” in Tarnowskie Góry, based on airborne laser scanning from the ISOK project and digital orthophotomaps / Marta Szostak in Geodesy and cartography, vol 64 n° 1 (June 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)PermalinkLes données de l'inventaire forestier : état des lieux et évolution / Anonyme in Forêt entreprise, n° 222 (mai-juin 2015)PermalinkLa forêt en chiffres et en cartes / Anonyme in Forêt entreprise, n° 222 (mai-juin 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)PermalinkComparison of tree microhabitat abundance and diversity in the edges and interior of small temperate woodlands / Annie Ouin in Forest ecology and management, vol 340 (March 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)PermalinkHabitat directive forest type western taiga (*9010) in Estonia : the first description of stand structure according to mapping and monitoring data / Anneli Palo in Baltic forestry, vol 21 n° 1 ([01/02/2015])PermalinkActes des secondes rencontres végétales du massif central : flore, végétation et habitats du massif central / Conservatoire botanique national du Massif central (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)PermalinkEnvironmental, spatial and temporal drivers of plant community composition in British forest habitat / Adam Robert Kimberley (2015)PermalinkUne gestion mieux adaptée sur la piste d’un inventaire forestier multi-sources / Jean-Marc Frémont in Forêts de France, n° 580 (janvier/février 2015)PermalinkModalités de représentation en 3D de données issues du SIG2D, pour la conception et la simulation / Olivier Jest (2015)PermalinkPast, present, and future of forest accounting: an overview of the French experience / Alexandra Niedzwiedz in Annals of Forest Science, vol 72 n° 1 (January 2015)PermalinkPermalinkUse of remotely sensed auxiliary data for improving sample-based forest inventories / Svetlana Saarela (2015)PermalinkPTrees: A point-based approach to forest tree extraction from lidar data / Cédric Vega in International journal of applied Earth observation and geoinformation, vol 33 (December 2014)PermalinkTracking seasonal changes of leaf and canopy light use efficiency in a Phlomis fruticosa Mediterranean ecosystem using field measurements and multi-angular satellite hyperspectral imagery / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkDistribution, données floristiques et architecture des boisements du delta du Rhône (sud-est de la France) / Annik Schnitzler in Ecologia mediterranea, vol 40 n° 2 (2014)PermalinkAn improved dark object method to retrieve 500 m-resolution AOT (Aerosol Optical Thickness) image from MODIS data: A case study in the Pearl River Delta area, China / Lili Li in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)PermalinkAssessing changes in species distribution from sequential large-scale forest inventories / Laura Hernandez in Annals of Forest Science, vol 71 n° 2 (March 2014)PermalinkSpatial patterns of historical growth changes in Norway spruce across western European mountains and the key effect of climate warming / Marie Charru in Trees, vol 28 n° 1 (February 2014)PermalinkEtude des habitats naturels du Parc National du Mercantour (Alpes-Maritimes et Alpes de Haute-Provence), Partie 1. Rapport technique / Jérémie Van Es (2014)PermalinkEtude des habitats naturels du Parc National du Mercantour (Alpes-Maritimes et Alpes de Haute-Provence), Partie 2. Clé de détermination des habitats / Jérémie Van Es (2014)PermalinkEtude des habitats naturels du Parc National du Mercantour (Alpes-Maritimes et Alpes de Haute-Provence), Partie 3. Fiches «habitat» / Jérémie Van Es (2014)PermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2014)PermalinkLa forêt luxembourgeoise en chiffres : Résultats de l'Inventaire Forestier National au Grand-Duché de Luxembourg 2009 - 2011 / Jacques Rondeux (2014)PermalinkMarkov land cover change modeling using pairs of time-series satellite images / Priyakant Sinha in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 11 (November 2013)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)PermalinkGround-based array for tomographic imaging of the tropical forest in P-band / Ho Tong Minh Dinh in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 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)PermalinkLe projet EMERGE pour des tarifs cohérents de volumes et biomasses des essences forestières françaises métropolitaines / Christine Deleuze in Rendez-vous techniques, n° 39-40 (Hiver-printemps 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)PermalinkSoil water balance performs better than climatic water variables in tree species distribution modelling / Christian Piedallu in Global ecology and biogeography, vol 22 n° 4 (April 2013)PermalinkAnalysis of desertification in the Upper East Region (UER) of Ghana using remote sensing, field study, and local knowledge / Alex B. Owusu in Cartographica, vol 48 n° 1 (March 2013)PermalinkAxe A - Connaissance de la flore et des végétations. Bilan d'exécution 2012. Arrêté Région 12 006968 01-CBN001 du 21 mai 2012 / Alexis Mikolajczak (2013)PermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2013)PermalinkUnderstorey plant species show long‐range spatial patterns in forest patches according to distance‐to‐edge / Vincent Pellissier in Journal of vegetation science, vol 24 n° 1 (January 2013)PermalinkVegetation ecology / Eddy Van Der Maarel (2013)PermalinkLarge-scale dynamics of a heterogeneous forest resource are driven jointly by geographically varying growth conditions, tree species composition and stand structure / Holger Wernsdörfer in Annals of Forest Science, Vol 69 n° 7 (October 2012)PermalinkAnalyse diachronique de la dynamique spatiale de la végétation de l'estuaire de la Loire / J. Sawtschuk in Photo interprétation, European journal of applied remote sensing, vol 48 n° 3 (septembre 2012)PermalinkNomenclature du nouveau produit BD forêt. La base de données nationale de la forêt française. Une nomenclature nationale pour répondre à de multiples contraintes / Thierry Touzet in XYZ, n° 131 (juin - août 2012)PermalinkIndividual tree biomass equations or biomass expansion factors for assessment of carbon stock changes in living biomass: A comparative study / Hans Petersson in Forest ecology and management, vol 270 (April 2012)PermalinkTracking human impact on current tree species distribution using plant communities / Daniel E. Silva in Journal of vegetation science, vol 23 n° 2 (April 2012)PermalinkSignificant differences and curvilinearity in the self-thinning relationships of 11 temperate tree species assessed from forest inventory data / Marie Charru in Annals of Forest Science, Vol 69 n° 2 (March 2012)PermalinkDoes natural regeneration determine the limit of European beech distribution under climatic stress? / Daniel E. Silva in Forest ecology and management, vol 266 (15 February 2012)PermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2012)PermalinkForêts et territoires : La forêt dans les Parcs naturels régionaux (PNR) / Institut national de l'information géographique et forestière (2012 -) (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)PermalinkAbundance response of western European forest species along canopy openness and soil pH gradients / Rosalinde van Couwenberghe in Forest ecology and management, vol 262 n° 8 ([15/10/2011])PermalinkTerrestrial laser scan error in the presence of dense ground vegetation / S. Coveney in Photogrammetric record, vol 26 n° 135 (September - November 2011)PermalinkUne base de données unique en France de cubages d’arbres individuels (volumes, biomasses) au service d’une modélisation générique de la ressource en bois énergie / Michaël Rivoire in Revue forestière française, vol 63 n° 2 (2011)PermalinkApproches par télédétection et cartographie des espaces sahéliens mauritaniens / A. Cotonnec in Le monde des cartes, n° 207 (mars 2011)PermalinkDéveloppement d'une interface-homme-machine (IHM) à partir de la connexion de la base de données Plantadiv au SIG et perspective de création d'un outil cartographique interactif par webmapping / C. Aubrun (2011)PermalinkL'environnement / Jacques Vernier (2011)PermalinkLa forêt française : les résultats issus des campagnes d'inventaire 2006 - 2010 : pour bien comprendre les résultats publiés / Inventaire forestier national (1958 - 2011) (2011)PermalinkIndicateurs de gestion durable des forêts françaises métropolitaines, édition 2010 / Inventaire forestier national (1958 - 2011) (2011)PermalinkPetit dictionnaire d'un forestier / Hervé Dubois (2011)PermalinkSystème d'information géographique appliqué à la végétation / B. Chouc (2011)PermalinkDe l'herbier à la carte : Représentation cartographique des collections et des données botaniques / J.L. Guillaumet in Le monde des cartes, n° 206 (décembre 2010)PermalinkDu simple relevé de végétation à la gestion des données sur la biodiversité : problèmes liées à la construction d’une base de données sur la flore alpine / Thomas Spiegelberger in Sciences, eaux & territoires, n° 3 ([22/10/2010])PermalinkEstimation du potentiel des données lidar multiécho pour l'étude de la végétation des marais salés : Etude du biais des données lidar acquises au-dessus de la baie du Mont-Saint-Michel et recherche d'une méthode de correction / Clélia Bilodeau in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkRecent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France / Marie Charru in Forest ecology and management, vol 260 n° 5 (30 July 2010)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)PermalinkApport de la télédétection Lidar aéroporté haute définition pour la caractérisation de la végétation des digues / Michel Vennetier in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)PermalinkLa canopée forestière vue par un Lidar ultra-violet aéroporté de nouvelle génération / J. Cuesta in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)PermalinkInventorying management status and plant species richness in seminatural grasslands using high spatial resolution imagery / K. Hall in Applied Vegetation Science, vol 13 n° 2 (April 2010)PermalinkRelevés floristiques pour le suivi de la biodiversité végétale des écosystèmes forestiers : éléments de réflexion pour faire les bons choix / Richard Chevalier in Revue forestière française, vol 62 n° 2 (mars - avril 2010)Permalinkvol 46 n° 1 - mars 2010 - Aerial and spatial archeology: From the historical photographs to lidar (part 2) (Bulletin de Photo interprétation, European journal of applied remote sensing) / Rosa LasaponaraPermalinkMonitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery / Hugh Eva in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)PermalinkCorylus : influence de la composition et de la structure des masses forestières sur la biodiversité / Jean-Luc Dupouey (2010)PermalinkEcologie du hêtre (Fagus sylvatica L) en marge sud-ouest de son aire de distribution / Daniel E. Silva (2010)PermalinkÉtude rétrospective et mise à jour de la ressource en pin maritime du massif des Landes de Gascogne après la tempête Klaus du 24 janvier 2009 / Antoine Colin (2010)PermalinkPermalinkImportance de la nomenclature des inventaires au sol à des fins de télédétection / Quentin Lelièvre (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)PermalinkCartographie du potentiel de production de truffes en milieu naturel : mise au point d'une méthode adaptée à la forêt privée du mont Ventoux / Pierre-Jean Moundy ; Sébastien Diette in Revue forestière française, vol 61 n° 6 (novembre - décembre 2009)PermalinkLes gros bois ont de l'avenir : exemples du chêne et du douglas en Bourgogne / Bruno Vanstaevel in Forêt entreprise, n° 189 (2009/6)PermalinkImpact potentiel du changement climatique sur la distribution de l’Épicéa, du Sapin, du Hêtre et du Chêne sessile en France / Christian Piedallu in Revue forestière française, vol 61 n° 6 (novembre - décembre 2009)PermalinkJusqu'où peut-on laisser grossir les bois ? / Bruno Vanstaevel in Forêt entreprise, n° 189 (2009/6)PermalinkLand 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)Permalinkn° 21 - Forêts et prairies abondent dans le réseau Natura 2000 (Bulletin de Le point sur, n° 21 [01/08/2009]) / Antoine LévêquePermalinkConduite des opérations de régénération dans les chênaies-charmaies du Centre de la France / Jean-Paul Nebout in Forêt entreprise, n° 187 (2009/4)PermalinkComparative analysis of SRTM-NED vegetation canopy height to LIDAR-derived vegetation canopy metrics / L. Kenyi in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)PermalinkLe suivi statistique de la ressource forestière par l’Inventaire forestier national / Anonyme in Bulletin de liaison des sylviculteurs bretons, n° 66 (juin 2009)Permalink