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Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > formation végétale > forêt
forêt
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Bois (forêts), Boisé, Espace boisé, Espace forestier, Essence forestière, Forêt et sylviculture, Groupement forestier (écologie), Massif forestier, Milieu forestier, Peuplement forestier, Région forestière Ressource forestière, Zone forestière. Campagne, Espace naturel. >> Arbre, Archéologie des forêts, Écologie des forêts, Foresterie, Paysage forestier, Politique forestière, Produit forestier, Sylviculture. Voir aussi aux noms des forêts, par ex. : Fontainebleau, Forêt de (Seine-et-Marne) ; Bayerischer Wald (Allemagne). >>Terme(s) spécifique(s) : Biomasse des forêts, Canopée, Forêt domaniale, Forêt privée, Plante des forêts, Réserve forestière, Sol forestier, Station forestière -- Typologie. Source(s) : Grand Larousse universel . - Terminologie forestière / A. Métro, 1975. Equiv. LCSH : Forests and forestry. Domaine(s) : 577, 580. Synonyme(s)paysage forestierVoir aussi |
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Evaluation of the MODIS LAI at coniferous forest site in Finland / Y. Wang in Remote sensing of environment, vol 91 n° 1 (15/05/2004)
[article]
Titre : Evaluation of the MODIS LAI at coniferous forest site in Finland Type de document : Article/Communication Auteurs : Y. Wang, Auteur ; Curtis E. Woodcock, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 114 - 127 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] bande infrarouge
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] indice foliaire
[Termes IGN] Leaf Area Index
[Termes IGN] Pinophyta
[Termes IGN] segmentation d'imageRésumé : (Auteur) Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14-21, 2000, WA a, used to validate Moderate Resolution Imaging Spectroradionieter (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of empirical approaches indicates that preliminary segmentation of the image followed by empirical modeling with the resulting patches, was an effective approach to developing an LAI validation surface. Comparison of the aggregated high-resolution LAI map and corresponding MODIS LAI retrievals suggests satisfactory behavior of the MODIS LAI algorithm although variation in MODIS LAI product is higher than expected. The MODIS algorithm, adjusted to high resolution, generally overestimates the LAI due to the influence of the understory vegetation. This indicates the need for improvements in the algorithm. An improved correlation between field measurements and the reduced simple ratio (RSR) suggests that the shortwave infrared (SWIR) band may provide valuable information for needle-leaf forests. Numéro de notice : A2004-238 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.007 En ligne : https://doi.org/10.1016/j.rse.2004.02.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26765
in Remote sensing of environment > vol 91 n° 1 (15/05/2004) . - pp 114 - 127[article]Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape / M.L. Clarke in Remote sensing of environment, vol 91 n° 1 (15/05/2004)
[article]
Titre : Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape Type de document : Article/Communication Auteurs : M.L. Clarke, Auteur ; D. Clark, Auteur ; D.A. Roberts, Auteur Année de publication : 2004 Article en page(s) : pp 68 - 89 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] corrélation linéaire
[Termes IGN] données lidar
[Termes IGN] erreur moyenne quadratique
[Termes IGN] forêt tropicale
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] sous-bois
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Meso-scale digital terrain models (DTMs) and canopy-height estimates, or digital canopy models (DCMs), are two lidar products that have immense potential for research in tropical rain forest (TRF) ecology and management. In this study, we used a small-footprint lidar sensor (airborne laser scanner, ALS) to estimate sub-canopy elevation and canopy height in an evergreen tropical rain forest. A fully automated, local-minima algorithm was developed to separate lidar ground returns from overlying vegetation returns. We then assessed inverse distance weighted (IDW) and ordinary kriging (OK) geostatistical techniques for the interpolation of a sub-canopy DTM. OK was determined to be a superior interpolation scheme because it smoothed fine-scale variance created by spurious understory heights in the ground-point dataset. The final DTM had a linear correlation of 1.00 and a root-mean-square error (RMSE) of 2.29 m when compared against 3859 well-distributed ground-survey points. In old-growth forests, RMS error on steep slopes was 0.67 m greater than on flat slopes. On flatter slopes, variation in vegetation complexity associated with land use caused highly significant differences in DTM error distribution across the landscape. The highest DTM accuracy observed in this study was 0.58-m RMSE, under flat, open-canopy areas with relatively smooth surfaces. Lidar ground retrieval was complicated by dense, multi-layered evergreen canopy in old-growth forests, causing DTM overestimation that increased RMS error to 1.95 m.
A DCM was calculated from the original lidar surface and the interpolated DTM. Individual and plot-scale heights were estimated from DCM metrics and compared to field data measured using similar spatial supports and metrics. For old-growth forest emergent trees and isolated pasture trees greater than 20 in tall, individual tree heights were underestimated and had 3.67- and 2.33-m mean absolute error (MAE), respectively. Linear-regression models explained 51% (4.15-m RMSE) and 95% (2.41-m RMSE) of the variance, respectively. It was determined that improved elevation and field-height estimation in pastures explained why individual pasture trees could be estimated more accurately than old-growth trees. Mean height of tree stems in 32 young agroforestry plantation plots (0.38 to 18.53 m tall) was estimated with a mean absolute error of 0.90 m (r 2 = 0,97; 1.08-m model RMSE) using the mean of lidar returns in the plot. As in other small-footprint lidar studies, plot mean height was underestimated; however, our plot-scale results have stronger linear models for tropical, leaf-on hardwood trees than has been previously reported for temperate-zone conifer and deciduous hardwoods.Numéro de notice : A2004-237 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.02.008 En ligne : https://doi.org/10.1016/j.rse.2004.02.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26764
in Remote sensing of environment > vol 91 n° 1 (15/05/2004) . - pp 68 - 89[article]Using Lidar and effective LAI data to evaluate Ikonos and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest / X. Chen in Remote sensing of environment, vol 91 n° 1 (15/05/2004)
[article]
Titre : Using Lidar and effective LAI data to evaluate Ikonos and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest Type de document : Article/Communication Auteurs : X. Chen, Auteur ; Lee Alexander Vierling, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 14 - 26 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse multicritère
[Termes IGN] couvert forestier
[Termes IGN] Dakota du Sud (Etats-Unis)
[Termes IGN] données lidar
[Termes IGN] forêt
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] Pinus ponderosaRésumé : (Auteur) Structural and functional analyses of ecosystems benefit when high accuracy vegetation coverages can be derived over large areas. In this study, we utilize IKONOS, Landsat 7 ETM+, and airborne scanning light detection and ranging (lidar) to quantify coniferous forest and understory grass coverages in a ponderosa pine (Pinus ponderosa) dominated ecosystem in the Black Hills of South Dakota. Linear spectral mixture analyses of IKONOS and ETM+ data were used to isolate spectral endmembers (bare soil, understory grass, and tree/shade) and calculate their subpixel fractional coverages. We then compared these endmember cover estimates to similar cover estimates derived from lidar data and field measures. The IKONOS-derived tree/shade fraction was significantly correlated with the field-measured canopy effective leaf area index (LAIe) (r2 = 0.55, p Numéro de notice : A2004-235 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.003 En ligne : https://doi.org/10.1016/j.rse.2003.11.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26762
in Remote sensing of environment > vol 91 n° 1 (15/05/2004) . - pp 14 - 26[article]Seeing 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)
[article]
Titre : Seeing the trees in the forest: Using Lidar and multispectral data fusion with local filtering and variable window size for estimating tree height Type de document : Article/Communication Auteurs : S.C. Pospecu, Auteur ; R. Wynne, Auteur Année de publication : 2004 Article en page(s) : pp 589 - 604 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] feuillu
[Termes IGN] fusion d'images
[Termes IGN] hauteur des arbres
[Termes IGN] identification automatique
[Termes IGN] image multibande
[Termes IGN] modèle de régression
[Termes IGN] Pinus (genre)Résumé : (Auteur) The main study objective was to develop robust processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating plot-level tree height by measuring individual trees identifiable on the three-dimensional lidar surface. Lidar processing techniques included data fusion with multispectral optical data and local filtering with both square and circular windows of variable size. The lidar system used for this study produced an average footprint of 0.65 m and an average distance between laser shots of 0.7 m. The lidar data set was acquired over deciduous and coniferous stands with settings typical of the southeastern United States. The lidar-derived tree measurements were used with regression models and cross-validation to estimate tree height on 0.017-ha plots. For the pine plots, lidar measurements explained 97 percent of the variance associated with the mean height of dominant trees. For deciduous plots, regression models explained 79 percent of the mean height variance for dominant trees. Filtering for local maximum with circular windows gave better fitting models for pines, while for deciduous trees, filtering with square windows provided a slightly better model fit. Using lidar and optical data fusion to differentiate between forest types provided better results for estimating average plot height for pines. Estimating tree height for deciduous plots gave superior results without calibrating the search window size based on forest type. Numéro de notice : A2004-181 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.70.5.589 En ligne : https://doi.org/10.14358/PERS.70.5.589 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26708
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 5 (May 2004) . - pp 589 - 604[article]Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions / Matti Maltamo in Remote sensing of environment, vol 90 n° 3 (15/04/2004)
[article]
Titre : Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions Type de document : Article/Communication Auteurs : Matti Maltamo, Auteur ; Kalle Eerikäinen, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 319 - 330 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] couvert forestier
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] mesure de précision
[Termes IGN] Pinophyta
[Termes IGN] sylviculture
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] troncRésumé : (Auteur) Laser scanners of small footprint diameter and high sampling density provide possibility to obtain accurate height information on the forest canopy. When applying tree crown segmentation methods, individual single trees can be recognised and tree height as well as crown area can be detected. Detection of suppressed trees from a height model based on laser scanning is difficult; however, it is possible to predict these trees by using theoretical distribution functions. In this study, two different methods are used to predict small trees. In the first method, the parameter prediction method is utilised with the complete Weibull distribution, the parameters of which are predicted with separate parameter prediction models; thus, small trees are determined from the predicted tree height distribution. In the second method, the twoparameter left-truncated Weibull distribution is fitted to the detected tree height distribution.
The results are presented by using timber volume and stem density as predicted stand characteristics. The results showed that the root mean square error (RMSE) for the timber volume is about 25% when using only information obtained from laser scanning, whereas the RMSE for the number of stems per ha is about 75%. Predictions for both characteristics are also highly biased and the underestimates are 24% and 62%, respectively. The use of the parameter prediction method to describe small trees improved the accuracy considerably; the RMSE figures for estimates of timber volume and number of stems are 16.0% and 49.2%, respectively. The bias for the estimates is also decreased to 6.3% for timber volume and 8.2% for the number of stems. When a left-truncated height distribution is used to predict the heights of the missing small trees, the RMSEs for the estimates of timber volume and number of stems are 22.5% and 72.7%, respectively. In the case of the timber volume, the reliability figures for both the original laser scanning-based estimates and for the estimates that also contain small trees are comparable to those obtained by conventional compartment-wise Finnish field inventories.Numéro de notice : A2004-199 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.01.006 En ligne : https://doi.org/10.1016/j.rse.2004.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26726
in Remote sensing of environment > vol 90 n° 3 (15/04/2004) . - pp 319 - 330[article]The 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)PermalinkAutomated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)PermalinkEvaluation comparative en cartographie forestière de l'analyse de texture et de la transformée en paquets d'ondelettes par le moyen d'un classifieur / A. Hammouch in Photo interprétation, vol 40 n° 1 (Mars 2004)PermalinkLes forestiers défrichent les SIG / Françoise de Blomac in SIG la lettre, n° 55 (mars 2004)PermalinkImpact of imagery temporal on land-cover change detection monitoring / R.S. Lunetta in Remote sensing of environment, vol 89 n° 4 (29/02/2004)PermalinkMonitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data / F. Maselli in Remote sensing of environment, vol 89 n° 4 (29/02/2004)PermalinkCarbon mass fluxes of forests in Belgium determined with low resolution optical sensors / F. Veroustraete in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)PermalinkEstimating fragmentation effects on simulated forest net primary productivity derived from satellite imagery / Nicholas C. Coops in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)PermalinkImproving tropical forest mapping using multi-date Landsat TM data and pre-classification image smoothing / C. Tottrup in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)PermalinkProspects for quantifying structure, floristic composition and species richness of tropical forests / T.W. Gillespie in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)PermalinkDelineation of forest/nonforest land use classes using nearest neighbor methods / R. Haapanen in Remote sensing of environment, vol 89 n° 3 (15/02/2004)PermalinkL'Inventaire forestier national, observatoire de la biodiversité forestière française / Gérard Dumé in Forêt entreprise, n° 155 (février 2004/1)PermalinkThe EuroSTARRS airborne campaign in support of the SMOS mission: first results over land surfaces / K. Saleh in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)PermalinkDéveloppement d'une aide de mise en forme cartographique pour images satellites dans le cadre du projet METIS Forêts / A. Caen (2004)PermalinkDéveloppement d'une méthode de cartographie de l'occupation du sol le long des cours d'eau à partir de données de télédétection / M. Perez Correa (2004)PermalinkDEXA 2004, Fifteenth International Workshop on Database and Expert Systems Applications / Fernando Galindo (2004)PermalinkInventaire forestier départemental, Ain, 3ème inventaire 1995 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Alpes-Maritimes, 3ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Bas-Rhin, 3ème inventaire 2002 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Cher, 3ème inventaire (1999) / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Haut-Rhin, 3ème inventaire 1999 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Indre-et-Loire, 3ème inventaire (1999) / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Landes, résultats 4ème inventaire 1999 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Loir-et-Cher, 3ème inventaire (1998) / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Loire-Atlantique, 3ème inventaire 2000 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Mayenne, 3ème inventaire 1999 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Sarthe, 3ème inventaire 1999 / Inventaire forestier national (1958 - 2011) (2004)PermalinkInventaire forestier départemental, Vaucluse, 3ème inventaire 2001 / Inventaire forestier national (1958 - 2011) (2004)PermalinkMise en œuvre d'une solution de cartographie en ligne appliquée au document de gestion de l'espace agricole et forestier de la Savoie / Hélène Buissart (2004)PermalinkUn SIG qui pulvérise les chenilles / Anonyme in Géomatique expert, n° 31 (01/01/2004)PermalinkComparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS / W.B. Cohen in Remote sensing of environment, vol 88 n° 3 (15/12/2003)PermalinkSnow-cover mapping in forest by constrained linear spectral unimixing of MODIS data / D. Vikhamar in Remote sensing of environment, vol 88 n° 3 (15/12/2003)PermalinkMangrove research and coastal ecosystem studies with SPOT-4 HRVIR and TERRA ASTER in the Arabian Gulf / Hideo Saito in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)PermalinkLinear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information / V.P. Onana in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)PermalinkCartographie des dépôts atmosphériques en France : deux approches pour les premières cartes nationales / L. Croise in Géomatique expert, n° 27 (01/09/2003)PermalinkDTM extraction of Lidar returns via adaptive processing / H.S. Lee in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)PermalinkValeur phytoécologique et biologique des ripisylves méditerranéennes / Pierre Quézel in Forêt méditerranéenne, vol 24 n° 3 (septembre 2003)PermalinkRadar imaging of moving targets in foliage using multifrequency multiaperture polarimetric SAR / G. Wang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)PermalinkAnalysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an Airborne (AVIRIS) and a spaceborne (Hyperion) sensor / M.L. Smith in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkProcessing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkLes indicateurs de gestion forestière durable à l'échelle nationale / Nabila Hamza ; Gérôme Pignard in Forêt entreprise, n° 150 (2003/2)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)PermalinkTrue ortho-image production for forested areas from large-scale aerial photographs / Y. Sheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)PermalinkPermalinkPaysages de forêts / Claude Vidal (2003)PermalinkRapport sur la protection contre les incendies de forêt après les feux de l'été 2003 / Franck Perriez (décembre 2003)PermalinkTélédétection THRS / Jean-Charles Pruvost (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)PermalinkAssessment of regional forest and scrub productivity using a coupled vegetation process model with remote sensing / Nicholas C. Coops in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)PermalinkSimulating L-band emission of forests in view of future satellite applications / P. Ferrazzoli in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)PermalinkForêt cherche propriétaire pour relation durable : étude sur la propriété forestière en Sologne / Anne Ferment in Ingénieries : eau, agriculture, territoires, n° spécial (octobre 2002)PermalinkLandscape dynamics of the spread of sudden oak death / M. Kelly in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 10 (October 2002)PermalinkStatistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions / Robert Gilmore Pontius in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 10 (October 2002)PermalinkDetecting and measuring individual trees using an airborne laser scanner / A. Persson in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)PermalinkImprovement of an oak canopy model extracted from digital photogrammetry / P. Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)PermalinkUn laser héliporté pour couvrir les zones inaccessibles de la forêt Guyanaise / M. Mayo in Géomètre, vol 2002 n° 9 (septembre 2002)PermalinkBidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)PermalinkLa naissance d’un service public : l’Inventaire forestier national (1960-1963) / Roger Balleydier in Revue forestière française, vol 54 n° 3 (Juin 2002)PermalinkUsing GIS to analyse a severe forest blowdown in the southern Rocky Mountains / J.D. Lindemann in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)PermalinkImagerie spatiale et aménagements forestiers au Gabon / Marcellin Nziengui in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 167 (Avril 2002)PermalinkAfrica environment outlook / United nations environment programme (2002)PermalinkApport des SIG et de la télédétection à la détermination d'unités dynamiques des paysages / S. Bancarel (2002)PermalinkDéveloppement et mise en application d'une interface de PIAO de la végétation du lit de la Loire et de l'Allier / S. Ancel (2002)PermalinkEtude de faisabilité d'un SIG forestier / Y. Bouille (2002)PermalinkForêt, économie et environnement / Institut français de l'environnement (2002)PermalinkGestion intégrée de la chênaie verte méditerranéenne : Application à deux massifs de la région Languedoc-Roussillon / Georges de Maupeou in Revue forestière française, vol 54 n° 1 (janvier - février 2002)PermalinkPermalinkSIG et gestion de la forêt privée / O. Coullet (2002)PermalinkOn the retrieving of forest stem volume from VHF SAR data: observation and modeling / P. Melon in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)PermalinkUtilisation des données haute résolution de SPOT 5 pour caractériser la texture forestière : application aux besoins de l'inventaire forestier national / C. Puech in Bulletin [Société Française de Photogrammétrie et Télédétection], n°164-165 (Octobre 2001)PermalinkHow institutional cultures affect results: comparing two old-growth forest mapping projects / R.A. Norheim in Cartographica, vol 38 n° 3 - 4 (September 2001)PermalinkUn SIG pour la défense des forêts en Aquitaine : réalisé pour la prévention des incendies, le SIG s'est trouvé d'autres fonctions / Pierre Macé in Géomètre, vol 2001 n° 9 (septembre 2001)PermalinkSensitivity of space-borne SAR data to forest parameters over sloping terrain : Theory and experiment / Thierry Castel in International Journal of Remote Sensing IJRS, vol 22 n° 12 (August 2001)PermalinkAnalysis of European forest condition data base / Nick Jewell (2001)PermalinkCahiers d'habitats Natura 2000, Tome 1. Habitats forestiers / Museum national d'histoire naturelle (2001)PermalinkCouplage d'un logiciel de trajectographie et du SIG ARC-INFO / I. Koua (2001)PermalinkDetection of storm losses in alpine forest areas by different methodical approaches using high-resolution satellite data [pixel-based classification and object-oriented classification] / Marcel Schwarz (2001)PermalinkGlobal a decade of Trans-European remote sensing cooperation / Manfred F. Buchroithner (2001)PermalinkInventaire forestier départemental, Alpes-de-Haute-Provence, résultats du 3ème inventaire 1999 / Inventaire forestier national (1958 - 2011) (2001)PermalinkInventaire forestier départemental, département de la Gironde, 4ème inventaire (1998) (+ résultats après la tempête du 27/12/1999) / Inventaire forestier national (1958 - 2011) (2001)PermalinkInventaire forestier départemental, département de la Haute-Marne, 3ème inventaire forestier du département (1996) / Inventaire forestier national (1958 - 2011) (2001)PermalinkInventaire forestier départemental, Indre, 3ème inventaire (1997) / Inventaire forestier national (1958 - 2011) (2001)PermalinkPetites leçons de géographie / C. Allmang (2001)PermalinkProblèmes posés par la mise à jour de la cartographie marine en zone tropicale humide à partir de données radar à synthèse d'ouverture : exemple en Guyane française et au Cameroun / H. Trebossen in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 161 (Janvier 2001)PermalinkRésultats du troisième inventaire forestier (1997), département de Maine-et-Loire / Inventaire forestier national (1958 - 2011) (2001)PermalinkSignification biogéographique et biodiversité des forêts du bassin méditerranéen / Marcel Barbero (2001)PermalinkTélédétection satellitale très haute résolution spatiale (THRS) et caractérisation de couverts forestiers / D. Corti (2001)PermalinkTempêtes en France : cartographier les dégâts avec les données satellitaires / Spot image in SPOT magazine, n° 33 (01/01/2001)PermalinkTroisième inventaire forestier du département (1990), département de la Meurthe-et-Moselle, 1. Tome 1 / Inventaire forestier national (1958 - 2011) (2001)PermalinkTroisième inventaire forestier du département (3ème inventaire 1997), département de la Marne, 1. Tome 1 / Inventaire forestier national (1958 - 2011) (2001)PermalinkUtilisation de données multidates SPOT-XS pour l'évaluation de l'impact d'une ferme aquacole sur la dynamique écologique d'un delta tropical : Un exemple dans le Nord-Ouest de Madagascar / J. Iltis in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 161 (Janvier 2001)PermalinkLe principe bénéficiaire-payeur doit être érigé en principe aussi fondamental que le principe pollueur-payeur / Lionel Brard in Forêts de France, n° 439 (décembre 2000)PermalinkPredicting forest stand characteristics with airborne scanning Lidar / J.E. Means in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 11 (November 2000)PermalinkMulti-attribute vegetation maps of Forest Service lands in California supporting resource management decisions / Janet Franklin in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 10 (October 2000)PermalinkHabitat animal et image numérique : méthode de reconnaissance exploratoire appliquée à des occurrences d'espèces / Jean-Christophe Foltête in Photo interprétation, vol 38 n° 3-4 (Septembre 2000)Permalink