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Estimating urban leaf area index (LAI) of individual trees with hyperspectral data / R. Jensen in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 5 (May 2012)
[article]
Titre : Estimating urban leaf area index (LAI) of individual trees with hyperspectral data Type de document : Article/Communication Auteurs : R. Jensen, Auteur ; P. Hardin, Auteur ; A. Hardin, Auteur Année de publication : 2012 Article en page(s) : pp 495 - 504 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse spectrale
[Termes IGN] arbre (flore)
[Termes IGN] feuillu
[Termes IGN] image hyperspectrale
[Termes IGN] Leaf Area Index
[Termes IGN] réflectance végétale
[Termes IGN] Utah (Etas-Unis)
[Termes IGN] zone urbaineRésumé : (Auteur) This study estimated leaf area index (LAI) of individual urban trees as a function of spectral features derived from airborne hyperspectral data. Candidate features included spectral indexes, principal components, and calibrated reflectance values. Hyperspectral images were acquired over Provo, Utah area, and LAI of 204 deciduous trees was measured in the field. These tree canopies were identified on the images, and spectral features were extracted using both whole canopy and mean-lit spectra techniques. Multiple regression and artificial neural networks were used to model leaf area and determine which spectral features were most strongly related to it. Results established that simple hyperspectral vegetation indexes explained more variation in urban tree LAI than either principal component scores or simple band reflectance values. The neural network model trained with a subset of those indexes explained more variation in LAI (R2 = 64.8 percent) than any of the multiple regression models tested. Numéro de notice : A2012-234 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.5.495 En ligne : https://doi.org/10.14358/PERS.78.5.495 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31680
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 5 (May 2012) . - pp 495 - 504[article]Le lidar, outil performant pour cartographier la hauteur des peuplements forestiers / Jérôme Bock in Rendez-vous techniques, n° 32 (printemps 2011)
[article]
Titre : Le lidar, outil performant pour cartographier la hauteur des peuplements forestiers Type de document : Article/Communication Auteurs : Jérôme Bock, Auteur ; Jean-Pierre Renaud , Auteur ; Grégory Dez, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 39 - 44 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] feuillu
[Termes IGN] hauteur des arbres
[Termes IGN] lasergrammétrie
[Termes IGN] télémétrie laser aéroportéIndex. décimale : 33.80 Lasergrammétrie Résumé : (auteur) En mars 2007, un avion équipé d’un laser aéroporté a scanné l’ensemble de la forêt de Haye. Ce projet, fruit d’une collaboration entre l’ONF, l’INRA et la DRAC, est une première puisqu’il s’agit d’un des plus grands massifs forestiers feuillus inventoriés par cette technique en Europe. Les résultats de recherche ouvrent des perspectives nouvelles pour la gestion des forêts … qui peuvent bénéficier à la fois d’une couverture Lidar et de l’expertise nécessaire pour la traiter. Numéro de notice : A2011-560 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74929
in Rendez-vous techniques > n° 32 (printemps 2011) . - pp 39 - 44[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P001037 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Documents numériques
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lidar cartographier hauteur peuplementsAdobe Acrobat PDF Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data / Junjie Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)
[article]
Titre : Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data Type de document : Article/Communication Auteurs : Junjie Zhang, Auteur ; A. De Gier, Auteur ; Y. Xing, Auteur ; Gunho Sohn, Auteur Année de publication : 2011 Conférence : SilviLaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems 14/09/2010 17/09/2010 Fribourg Allemagne Article en page(s) : pp 281 - 290 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] capteur spatial
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] couvert forestier
[Termes IGN] décomposition de Gauss
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] Pinophyta
[Termes IGN] signal laserRésumé : (Auteur) This study developed a new method to derive forest type information from large-footprint lidar data based on full waveform analysis. For this purpose, the raw waveform was decomposed into Gaussian components, and canopy return and ground return of the waveforms were separated. Two types of metrics hypothesized to have relationship with forest types were derived from the canopy return part of the waveform. The first type of metrics is quantile-based metrics reflecting the vertical distribution of canopy return energy, and the second type is statistical characteristics of the Gaussian components of canopy return part. Support Vector Machine classification was applied to different combinations of the metrics to find their relationship with different forest types. The results showed that the second type of metrics, indicating the canopy stratum characteristics, showed great promise in separating broad-leaved and needle-leaved forests with the accuracy ranging from 88.68 percent to 90.57 percent and Kappa statistic from 0.7406 to 0.7868. Numéro de notice : A2011-081 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.3.281 En ligne : https://doi.org/10.14358/PERS.77.3.281 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30862
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 3 (March 2011) . - pp 281 - 290[article]Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series / Dominique Guyon in Remote sensing of environment, vol 115 n° 2 ([15/02/2011])
[article]
Titre : Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series Type de document : Article/Communication Auteurs : Dominique Guyon, Auteur ; Marie Guillot, Auteur ; Yann Vitasse, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 615 - 627 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] analyse des mélanges temporels
[Termes IGN] analyse diachronique
[Termes IGN] Fagus (genre)
[Termes IGN] feuillu
[Termes IGN] image SPOT-Végétation
[Termes IGN] indice de végétation
[Termes IGN] phénologie
[Termes IGN] Pyrénées (montagne)
[Termes IGN] Quercus (genre)
[Termes IGN] variation saisonnièreMots-clés libres : Phenology Leaf unfolding Deciduous forest Elevation VEGETATION Perpendicular vegetation index temporal unmixing Résumé : (auteur) In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phenological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION data acquired over the French Pyrenees Mountain Region (FPMR), in conjunction with simultaneous ground-based observations of leaf phenology made for two dominant tree species in the region (oak and beech). The seasonal variations in the perpendicular vegetation index (PVI) were analyzed during a five-year period (2002 to 2006). The five years of data were averaged into a one sole year in order to fill the numerous large spatio-temporal gaps due to cloud and snow presence – frequent in mountains – without altering the temporal resolution. Since a VEGETATION pixel (1 km²) includes several types of land cover, the broadleaf forest-specific seasonal dynamics of PVI was reconstructed pixel-by-pixel using a temporal unmixing method based on a non-parametric statistical approach. The spatial pattern of the seasonal response of PVI was clearly consistent with the relief. Nevertheless the elevational or geographic range of tree species, which differ in their phenology sensitivity to temperature, also has a significant impact on this pattern. The reduction in the growing season length with elevation was clearly observable from the delay in the increase of PVI in spring and from the advance of its decrease in the fall. The elevation variations in leaf flushing timing were estimated from the temporal change in PVI in spring over the study area. They were found to be consistent with those measured in situ (R2 > 0.95). It was deduced that, over FPMR, the mean delay of leaf flushing timing for every 100 m increase in elevation was estimated be approximately 2.3 days. The expected estimation error of satellite-based leaf unfolding date for a given elevation was approximately 2 days. This accuracy can be considered as satisfactory since it would allow us to detect changes in leafing timing of deciduous broadleaf forests with a magnitude equivalent to that due to an elevation variation of 100 m (2.3 days on average), or in other words, to that caused by a variation in the mean annual air temperature of 0.5 °C. Although averaging the VEGETATION data over five years led to a loss of interannual information, it was found to be a robust approach to characterise the elevation variations in spring leafing and its long-term trends. Numéro de notice : A2011-563 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2010.10.006 En ligne : https://doi.org/10.1016/j.rse.2010.10.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74834
in Remote sensing of environment > vol 115 n° 2 [15/02/2011] . - pp 615 - 627[article]Modelling forest management within a global vegetation model - Part 1: Model structure and general behaviour / V. Bellassen in Ecological modelling, vol 221 n° 20 (octobre 2010)
[article]
Titre : Modelling forest management within a global vegetation model - Part 1: Model structure and general behaviour Type de document : Article/Communication Auteurs : V. Bellassen, Auteur ; G. Le Maire, Auteur ; Jean-François Dhôte, Auteur ; Philippe Ciais, Auteur ; Nicolas Viovy, Auteur Année de publication : 2010 Article en page(s) : pp 2458 - 2474 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse forestière
[Termes IGN] carbone
[Termes IGN] feuillu
[Termes IGN] modèle de simulation
[Termes IGN] modélisation de la forêt
[Termes IGN] production primaire netteMots-clés libres : ORCHIDEE Résumé : (auteur) This article describes a new forest management module (FMM) that explicitly simulates forest stand growth and management within a process-based global vegetation model (GVM) called ORCHIDEE. The net primary productivity simulated by ORCHIDEE is used as an input to the FMM. The FMM then calculates stand and management characteristics such as stand density, tree size distribution, tree growth, the timing and intensity of thinnings and clear-cuts, wood extraction and litter generated after thinning. Some of these variables are then fed back to ORCHIDEE. These computations are made possible with a distribution-based modelling of individual tree size. The model derives natural mortality from the relative density index (rdi), a competition index based on tree size and stand density. Based on the common forestry management principle of avoiding natural mortality, a set of rules is defined to calculate the recurrent intensity and frequency of forestry operations during the stand lifetime. The new-coupled model is called ORCHIDEE-FM (forest management). The general behaviour of ORCHIDEE-FM is analysed for a broadleaf forest in north-eastern France. Flux simulation throughout a forest rotation compare well with the literature values, both in absolute values and dynamics. Results from ORCHIDEE-FM highlight the impact of forest management on ecosystem C-cycling, both in terms of carbon fluxes and stocks. In particular, the average net ecosystem productivity (NEP) of 225 gC m−2 year−1 is close to the biome average of 311 gC m−2 year−1. The NEP of the “unmanaged” case is 40% lower, leading us to conclude that management explains 40% of the cumulated carbon sink over 150 years. A sensitivity analysis reveals 4 major avenues for improvement: a better determination of initial conditions, an improved allocation scheme to explain age-related decline in productivity, and an increased specificity of both the self-thinning curve and the biomass-diameter allometry. Numéro de notice : A2010-686 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.ecolmodel.2010.07.008 Date de publication en ligne : 20/08/2010 En ligne : https://doi.org/10.1016/j.ecolmodel.2010.07.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102452
in Ecological modelling > vol 221 n° 20 (octobre 2010) . - pp 2458 - 2474[article]An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data / W. Dorigo in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkGeneration of Expressed Sequence Tags and development of microsatellite markers for Castanopsis sieboldii var. sieboldii (Fagaceae) / Saneyoshi Ueno in Annals of Forest Science, Vol 66 n° 5 (July - August 2009)PermalinkChanging regimes: forested land cover dynamics in Central Siberia 1974-2001 / K.M. Bergen in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)PermalinkLes interactions entre espèces d'arbres dans les mélanges illustrées par le cas des feuillus et des conifères dans les forêts de montagne / Richard Michalet in Revue forestière française, vol 60 n° 2 (mars - avril 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)PermalinkIncorporating domain knowledge and spatial relationships into land cover classifications: a rule-based approach / A.E. Daniels in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkEffects of forest environment and survey protocol on GPS accuracy / Christian Piedallu in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)PermalinkSeeing the trees in the forest: Using Lidar and multispectral data fusion with local filtering and variable window size for estimating tree height / S.C. Pospecu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)PermalinkThe spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery / J.R. Dymond in Remote sensing of environment, vol 90 n° 1 (15/03/2004)PermalinkToward universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements / G. Le Maire in Remote sensing of environment, vol 89 n° 1 (15/01/2004)PermalinkThe potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study / T. Warner in Geocarto international, vol 18 n° 1 (March - May 2003)PermalinkValorisation des données statistiques et cartographiques de l'IFN [inventaire forestier national] auprès du CRPF [centre régional de la propriété forestière] Midi-Pyrénées / T. Bouix (2003)PermalinkRemote sensing of foliar chemistry / P.J. Curran in Remote sensing of environment, vol 30 n° 3 (01/12/1989)PermalinkFine resolution signatures of coniferous and deciduous trees at C-band / R. Zoughi in International Journal of Remote Sensing IJRS, vol 10 n° 1 (January 1989)PermalinkFlore des arbres, arbustes et arbrisseaux, 1. Plaines et collines / René Rol (1975)PermalinkLa forêt de Berce / P. George (1936)Permalink