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On the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation / Y.O. Ouma in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)
[article]
Titre : On the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation Type de document : Article/Communication Auteurs : Y.O. Ouma, Auteur ; T.G. Ngigi, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 73 - 104 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse texturale
[Termes IGN] arbre urbain
[Termes IGN] données multiéchelles
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] optimisation (mathématiques)
[Termes IGN] texture d'image
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Integration of spectral and multi-scale texture is proposed in order to improve the detection and classification of urban-trees from Quickbird imagery. Arguing that spatial -structure semantic information exits at a hierarchy of scales and that texture is a consequence of objects in the hierarchy, multi-scale wavelets decomposition is proposed for the extraction of vertical, horizontal and diagonal texture components. Pre-selection of texture sub-bands is achieved via mean, entropy, variance and second angular moment. The resulting sub-bands are analysed for separability between trees and similarly reflecting features, such as rice-paddy, grass/lawns, open ground and playground, based on KuIlbackLeibler (KL) divergence and Battacharyya distance. The results are ranked and classified with k-means. In comparison with the field data, KL gave the best results with omission and commission error of 4.4%. The proposed methodology has the ability to capture the increased natural variability in reflectance and improved the accuracy by 23.6%, in comparison with spectral-only. Numéro de notice : A2006-059 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500295885 En ligne : https://doi.org/10.1080/01431160500295885 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27786
in International Journal of Remote Sensing IJRS > vol 27 n°1-2 (January 2006) . - pp 73 - 104[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06011 RAB Revue Centre de documentation En réserve L003 Disponible Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data / Z.J. Bortolot in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 6 (November 2005)
[article]
Titre : Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data Type de document : Article/Communication Auteurs : Z.J. Bortolot, Auteur ; R. Wynne, Auteur Année de publication : 2005 Article en page(s) : pp 342 - 360 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] couvert forestier
[Termes IGN] données de terrain
[Termes IGN] données lidar
[Termes IGN] forêt tempérée
[Termes IGN] houppier
[Termes IGN] lasergrammétrie
[Termes IGN] masse végétale
[Termes IGN] optimisation (mathématiques)
[Termes IGN] Pinus taeda
[Termes IGN] régression
[Termes IGN] sylviculture
[Termes IGN] Virginie (Etats-Unis)Résumé : (Auteur) A new individual tree-based algorithm for determining forest biomass using small footprint LiDAR data was developed and tested. This algorithm combines computer vision and optimization techniques to become the first training data-based algorithm specifically designed for processing forest LiDAR data. The computer vision portion of the algorithm uses generic properties of trees in small footprint LiDAR canopy height models (CHMs) to locate trees and find their crown boundaries and heights. The ways in which these generic properties are used for a specific scene and image type is dependent on 11 parameters, nine of which are set using training data and the Nelder-Mead simplex optimization procedure. Training data consist of small sections of the LiDAR data and corresponding ground data. After training, the biomass present in areas without ground measurements is determined by developing a regression equation between properties derived from the LiDAR data of the training stands and biomass, and then applying the equation to the new areas. A first test of this technique was performed using 25 plots (radius = 15 m) in a loblolly pine plantation in central Virginia, USA (37.42N, 78.68W) that was not intensively managed, together with corresponding data from a LiDAR canopy height model (resolution = 0.5 m). Results show correlations (r) between actual and predicted aboveground biomass ranging between 0.59 and 0.82, and RMSEs between 13.6 and 140.4 t/ha depending on the selection of training and testing plots, and the minimum diameter at breast height (7 or 10 cm) of trees included in the biomass estimate. Correlations between LiDAR-derived plot density estimates were low (0.22 Numéro de notice : A2005-490 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.07.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.07.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27626
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 6 (November 2005) . - pp 342 - 360[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-05041 SL Revue Centre de documentation Revues en salle Disponible Effects of forest environment and survey protocol on GPS accuracy / Christian Piedallu in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 9 (September 2005)
[article]
Titre : Effects of forest environment and survey protocol on GPS accuracy Type de document : Article/Communication Auteurs : Christian Piedallu, Auteur ; Jean-Claude Gégout, Auteur Année de publication : 2005 Article en page(s) : pp 1070 - 1078 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] acquisition de données
[Termes IGN] affaiblissement géométrique de la précision
[Termes IGN] analyse comparative
[Termes IGN] antenne GPS
[Termes IGN] correction différentielle
[Termes IGN] couvert forestier
[Termes IGN] feuillu
[Termes IGN] forêt
[Termes IGN] GPS en mode différentiel
[Termes IGN] instrumentation Trimble
[Termes IGN] positionnement par GPS
[Termes IGN] précision de localisation
[Termes IGN] récepteur GPS
[Termes IGN] ressources naturelles
[Termes IGN] saisonRésumé : (Auteur) The aim of the study is to test GPS equipment receivers commonly used for natural resource management, and to quantify recording rate and positioning quality under different conditions, the objective being to assist GPS users in their choices. Four factors were evaluated: (a) the type of receiver: three ranges of GPS equipment were compared; (b) forest cover effects (three covers were tested: open cover, coppice and deciduous high forest); (c) the effects of GPS survey components: the number of recordings (between 1 and 300), the Position Dilution of Precision (PDOP) thresholding (between 4 and 50), the time interval between recordings (between 1 and 15 seconds), and the differential correction effect; and (d) the season (winter and summer). A GPS survey was carried out and a database of 140,000 readings was established, from which a large number of random rover files were extracted for each combination of factors. It appears the only factor not to be significant is the seasonal effect. The type of equipment used and the forest cover effect both modify positioning accuracy by a factor of 2 or 3, as does the use of differential correction for Trimble receivers in open cover. Increasing the number of recordings and the time interval between recordings, and decreasing the PDOP threshold, improve precision, with a different effect according to the GPS receiver and the forest cover. The effect is generally more pronounced under high forest cover. The combined effects of GPS survey components produce significant changes in accuracy at the expense of the time spent in acquiring data. Numéro de notice : A2005-390 Affiliation des auteurs : non IGN Thématique : FORET/POSITIONNEMENT Nature : Article DOI : 10.14358/PERS.71.9.1071 En ligne : https://doi.org/10.14358/PERS.71.9.1071 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27526
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 9 (September 2005) . - pp 1070 - 1078[article]Mapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks / J.C. Ingram in Remote sensing of environment, vol 94 n° 4 (28/02/2005)
[article]
Titre : Mapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks Type de document : Article/Communication Auteurs : J.C. Ingram, Auteur ; T.P. Dawson, Auteur ; R.J. Whittaker, Auteur Année de publication : 2005 Article en page(s) : pp 491 - 507 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse des correspondances
[Termes IGN] analyse multibande
[Termes IGN] biodiversité
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] densité
[Termes IGN] forêt tropicale
[Termes IGN] image Landsat-ETM+
[Termes IGN] Madagascar
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] radiance
[Termes IGN] troncRésumé : (Auteur) Tropical forest condition has important implications for biodiversity, climate change and human needs. Structural features of forests can serve as useful indicators of forest condition and have the potential to be assessed with remotely sensed imagery, which can provide quantitative information on forest ecosystems at high temporal and spatial resolutions. Herein, we investigate the utility of remote sensing for assessing, predicting and mapping two important forest structural features, stem density and basal area, in tropical, littoral forests in southeastern Madagascar. We analysed the relationships of basal area and stem density measurements to the Normalised Difference Vegetation Index (NDVI) and radiance measurements in bands 3, 4, 5 and 7 from the Landsat Enhanced Thematic Mapper Plus (ETM+). Strong relationships were identified among all of the individual bands and field based measurements of basal area (p Numéro de notice : A2005-069 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.001 En ligne : https://doi.org/10.1016/j.rse.2004.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27207
in Remote sensing of environment > vol 94 n° 4 (28/02/2005) . - pp 491 - 507[article]Mise en place d'un réseau français d'arboretums pour une valorisation coordonnée des ressources ligneuses ex situ / Stéphanie Brachet (2005)
Titre : Mise en place d'un réseau français d'arboretums pour une valorisation coordonnée des ressources ligneuses ex situ Titre original : Creation of a French network of Arboreta to improve the coordination of ex situ resources management and studies Type de document : Article/Communication Auteurs : Stéphanie Brachet, Auteur Editeur : Versailles : Quae Année de publication : 2005 Conférence : EcoFor 2005, De l'observation des écosystèmes forestiers à l'information sur la forêt 22/02/2005 23/02/2005 Paris France Importance : pp 71 - 76 Note générale : Bibliogr Langues : Français (fre) Descripteur : [Termes IGN] arboretum
[Termes IGN] arbre (flore)
[Termes IGN] France (administrative)Résumé : (auteur) Les arboretums français rassemblent en un même lieu de nombreuses espèces ligneuses vivantes originaires du monde entier. Parmi ces espèces, on recense souvent des espèces rares en voie de disparition de leur aire naturelle. Ces arboretums forment aussi des écosystèmes artificiels très particuliers pour la faune et la flore associée. Cependant, en France, les ressources des arboretums sont mal connues et peu valorisées. Cet article montre en quoi la création d'un réseau d'arboretums permettra d'apporter des connaissances sur les ligneux dans de nombreux domaines et de développer une gestion raisonnée des collections ligneuses ex situ à l'échelle nationale. Numéro de notice : C2005-021 Affiliation des auteurs : non IGN Thématique : FORET Nature : Communication En ligne : http://www.symposcience.org/exl-php/articles/520-article.htm Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=66997 Documents numériques
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Mise en place d'un réseau français d'arboretumsAdobe Acrobat PDF Third expert meeting on harmonizing forest-related definitions for use by various stakeholders, Rome, Italy, 17 - 19 January 2005 / Wulf Killmann (2005)PermalinkLIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management / F. Morsdorf in Remote sensing of environment, vol 92 n° 3 (30 August 2004)PermalinkWavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping / R. Pu in Remote sensing of environment, vol 91 n° 2 (30/05/2004)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)PermalinkEstimation 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)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)PermalinkAutomated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)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)PermalinkAVHRR-based spectral vegetation Index for quantitative assessment of vegetation state and productivity: calibration and validation / F. Kogan in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 8 (August 2003)PermalinkMultitemporal repeat-pass SAR interferometry of boreal forests / J. Askne in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)Permalink