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Advanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest / Adrien Chauve in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)    

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 30 n° 19 (October 2009) . - pp 5211 - 5228 Titre : Advanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest Type de document : Article/Communication Auteurs : Adrien Chauve , Auteur ; Cédric Vega , Auteur ; Sylvie Durrieu, Auteur ; Tristan Allouis, Auteur ; William Puech, Auteur ; Frédéric Bretar, Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2009 Projets : TOSCA ExFOLIO / Durrieu, Sylvie Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 5211 - 5228 Note générale : Bibliographie This work is part of the ExFOLIO project and was realized thanks to the financial support of the CNES (Centre National d’Etudes Spatiales). Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] Alpes (France) [Termes IGN] canopée [Termes IGN] détection du signal [Termes IGN] données lidar [Termes IGN] hauteur des arbres [Termes IGN] lidar à retour d'onde complète [Termes IGN] modèle de Gauss-Markov [Termes IGN] modèle numérique de sursol [Termes IGN] modèle numérique de terrain [Termes IGN] Pinus nigra [Termes IGN] semis de points [Termes IGN] signal laser [Termes IGN] télémètre laser aéroporté [Termes IGN] transformation en ondelettes Résumé : (Auteur) Small footprint full-waveform airborne lidar systems offer large opportunities for improved forest characterization. To take advantage of full-waveform information, this paper presents a new processing method based on the decomposition of waveforms into a sum of parametric functions. The method consists of an enhanced peak detection algorithm combined with advanced echo modelling including Gaussian and generalized Gaussian models. The study focuses on the qualification of the extracted geometric information. Resulting 3D point clouds were compared to the point cloud provided by the operator. 40 to 60% additional points were detected mainly in the lower part of the canopy and in the low vegetation. Their contribution to Digital Terrain Models (DTMs) and Canopy Height Models (CHMs) was then analysed. The quality of DTMs and CHM-based heights was assessed using field measurements on black pine plots under various topographic and stand characteristics. Results showed only slight improvements, up to 5 cm bias and standard deviation reduction. However both tree crowns and undergrowth were more densely sampled thanks to the detection of weak and overlapping echoes, opening up opportunities to study the detailed structure of forest stands. Numéro de notice : A2009-380 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903023009 Date de publication en ligne : 22/09/2009 En ligne : https://doi.org/10.1080/01431160903023009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30010 [article]

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vol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 (Bulletin de International Journal of Remote Sensing IJRS) / Ronald E. McRoberts  

Public [n° ou bulletin]  est un bulletin de International Journal of Remote Sensing IJRS / Remote sensing and photogrammetry society (1980 -)   Titre : vol 30 n° 19 - October 2009 - ForestSat 2007, [actes], operational tools in forestry using remote sensing techniques, Montpellier, 5 - 7 November 2007 Type de document : Périodique Auteurs : Ronald E. McRoberts, Éditeur scientifique ; Daniel N.M. Donoghue, Éditeur scientifique ; Remote sensing and photogrammetry society, Auteur ; Michel Deshayes, Éditeur scientifique Année de publication : 2009 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Importance : 404 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] détection de changement [Termes IGN] données laser [Termes IGN] estimation quantitative [Termes IGN] image multibande [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] sylviculture [Termes IGN] télédétection spatiale Numéro de notice : 080-0911 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Numéro de périodique En ligne : https://www.tandfonline.com/toc/tres20/30/19?nav=tocList Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9943 [n° ou bulletin]

Contient

• Land 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)  
• Advanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest / Adrien Chauve in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)    

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Land 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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 30 n° 19 (October 2009) . - pp 5133 - 5149 Titre : Land use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana Type de document : Article/Communication Auteurs : Nicolas Stach , Auteur ; Anne Salvado , Auteur ; Marcel Petit, Auteur ; Jean-François Faure, Auteur ; Laurent Durieux, Auteur ; Christina Corbane, Auteur ; Pierre Joubert, Auteur ; Dominique Lasselin, Auteur ; Michel Deshayes, Auteur Année de publication : 2009 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 5133 - 5149 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] base de données d'occupation du sol [Termes IGN] développement durable [Termes IGN] forêt tropicale [Termes IGN] Guyane (département français) [Termes IGN] image Landsat-TM [Termes IGN] image SPOT [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] inventaire forestier local [Termes IGN] mosaïque d'images [Termes IGN] occupation du sol [Termes IGN] orthophotoplan numérique [Termes IGN] surveillance écologique [Termes IGN] surveillance forestière [Termes IGN] utilisation du sol Résumé : (Auteur) The new SPOT/Envisat direct receiving station (DRS) operating in Cayenne in the framework of the SEAS-Guyane project was used to produce a global cloudless SPOT mosaic over French Guiana for the year 2006. This mosaic was used to perform a land-use, land-use change and forestry (LULUCF) inventory in the framework of the Kyoto Protocol. Nearly 17 000 sample points were laid down on the SPOT mosaic with a stratified sampling design. The land use at each sample point was determined by visual interpretation of the corresponding SPOT image in 2006 and the Landsat - Thematic Mapper (TM) image from the Global Land Cover Facility (GLCF) in 1990. Statistics for the period 1990-2006 were computed and integrated in the first voluntary Kyoto inventory. Numéro de notice : A2009-379 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903022969 Date de publication en ligne : 22/09/2009 En ligne : https://doi.org/10.1080/01431160903022969 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30009 [article]

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Accuracy of forest mapping based on Landsat TM data and a kNN-based method / K. Gjertsen in Remote sensing of environment, vol 110 n° 4 (30/10/2007)  

Public [article]  inRemote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 420 - 430 Titre : Accuracy of forest mapping based on Landsat TM data and a kNN-based method Type de document : Article/Communication Auteurs : K. Gjertsen, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 420 - 430 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte de la végétation [Termes IGN] classification barycentrique [Termes IGN] données multisources [Termes IGN] forêt [Termes IGN] image Landsat-TM [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] Norvège [Termes IGN] précision de la classification Résumé : (Auteur) A multi-source forest inventory (MSFI) method has been developed for use in the Norwegian National Forest Inventory (NFI). The method is based on a k-nearest neighbour rule and uses field plots from the NFI, land cover maps, and satellite image data from Landsat Thematic Mapper. The inventory method is used to produce maps of selected forest variables and to estimate the selected forest variables for large areas such as municipalities. In this study, focus has been on the qualitative variables ‘dominating species group’ and ‘development class’ because these variables are of central interest to forest managers. A mid-summer Landsat 5 TM scene was used as image data, and all NFI plots inside the scene were used as a reference dataset. The relationship between the spectral bands and the forest variables was analysed, and it was found that the levels of association were low. A leave-one-out method based on the reference dataset was used to estimate the pixel-level accuracies. They were found to be relatively low with 63% agreement for species groups. An independent control survey was available for a municipality and estimates from the MSFI were compared to it. The levels of error were quite high. It was concluded that the large area estimates were biased by the reference dataset. Copyright Elsevier Numéro de notice : A2007-410 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.018 En ligne : https://doi.org/10.1016/j.rse.2006.08.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28773 [article]

Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium / F.M.B. Van Coillie in Remote sensing of environment, vol 110 n° 4 (30/10/2007)  

Public [article]  inRemote sensing of environment > vol 110 n° 4 (30/10/2007) . - pp 476 - 487 Titre : Feature selection by genetic algorithms in object-based classification of Ikonos imagery for forest mapping in Flanders, Belgium Type de document : Article/Communication Auteurs : F.M.B. Van Coillie, Auteur ; L.P.C. Verbeke, Auteur ; R.R. DE Wulf, Auteur Année de publication : 2007 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 476 - 487 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] algorithme génétique [Termes IGN] carte de la végétation [Termes IGN] classification par réseau neuronal [Termes IGN] détection d'objet [Termes IGN] Flandre (Belgique) [Termes IGN] forêt tempérée [Termes IGN] image Ikonos [Termes IGN] segmentation d'image Résumé : (Auteur) Obtaining detailed information about the amount of forest cover is an important issue for governmental policy and forest management. This paper presents a new approach to update the Flemish Forest Map using IKONOS imagery. The proposed method is a three-step object-oriented classification routine that involves the integration of 1) image segmentation, 2) feature selection by Genetic Algorithms (GAs) and 3) joint Neural Network (NN) based object-classification. The added value of feature selection and neural network combination is investigated. Results show that, with GA-feature selection, the mean classification accuracy (in terms of Kappa Index of Agreement) is significantly higher (p Numéro de notice : A2007-412 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.020 En ligne : https://doi.org/10.1016/j.rse.2007.03.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28775 [article]

vol 110 n° 4 - 30/10/2007 - Forestsat 2007 (Bulletin de Remote sensing of environment) / Ronald E. McRoberts

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The impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes / T. Koukal in Remote sensing of environment, vol 110 n° 4 (30/10/2007)  

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ForestSAT 2007, Forest and remote sensing : Methods and operational tools, scientific workshop, Abstracts, Montpellier, France, November 5 - 7, 2007 / Centre national du machinisme agricole, du génie rural, des eaux et des forêts (1981 - 2011) (2007)

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