Descripteur
Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > botanique systématique > Tracheophyta > Spermatophytina > Gymnosperme > Pinophyta
PinophytaSynonyme(s)conifère |
Documents disponibles dans cette catégorie (535)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
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]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)
[article]
Titre : The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery Type de document : Article/Communication Auteurs : J.R. Dymond, Auteur ; J.D. Shepherd, Auteur Année de publication : 2004 Article en page(s) : pp 116 - 125 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biodiversité
[Termes IGN] carte de la végétation
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] éclairement énergétique
[Termes IGN] Fagus (genre)
[Termes IGN] feuillu
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Nouvelle-Zélande
[Termes IGN] Pinophyta
[Termes IGN] réflectance végétaleRésumé : (Auteur) In order to improve biodiversity management in the Wellington region of New Zealand, it is necessary to make an inventory of the indigenous forest-where is it, and what type is it? The single greatest impediment to making a spatially (i.e., 1:50,000 scale) and thematically detailed inventory from satellite imagery has been the topography of the three mountainous ranges in the Wellington region. The effective irradiance of incoming light varies with slope orientation, as does the proportion of light that is reflected towards the satellite (the bidirectional reflectance). In this paper, we show how satellite imagery may be processed to standardised spectral reflectance, which is a property of the vegetation alone, independent of sun position, slope, and view direction. Because of this, the use of automatic methods to map vegetation and provide spatially and thematically detailed maps is greatly simplified. Using this method, we produce a land-cover map of the Wellington region, with eight classes, to a classification accuracy of approximately 95%. We also show how the proportions of conifer, broadleaved, and beech trees may be determined for indigenous forest to provide a framework for forest-type inventory. Numéro de notice : A2004-131 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.013 En ligne : https://doi.org/10.1016/j.rse.2003.11.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26658
in Remote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 116 - 125[article]The 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)PermalinkUn SIG qui pulvérise les chenilles / Anonyme in Géomatique expert, n° 31 (01/01/2004)PermalinkNotice de la carte de la végétation du parc national du Mercantour au 1:100 000 : répartition des séries dynamiques de la végétation dans le contexte biogéographique des Alpes-maritimes et de la Haute-Provence / Marcel Barbero in Ecologia mediterranea, vol 29 n° 2 (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)PermalinkMountain pine beetle red-attack forest damage classification using stratified Landsat TM data in British Columbia, Canada / Steven E. Franklin in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)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)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)PermalinkBiogéographie, écologie et valeur patrimoniale des forêts de pin sylvestre (Pinus sylvestris L.) en région méditerranéenne / Frédéric Medail in Forêt méditerranéenne, vol 22 n° 1 (mars 2001)PermalinkSignification biogéographique et biodiversité des forêts du bassin méditerranéen / Marcel Barbero (2001)PermalinkQuand les gènes vont et viennent, l'introgression entre le pin sylvestre et le pin à crochets / Michel Bartoli in La garance voyageuse, n° 46 (juin - août 1999)Permalink