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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]A method for detecting large-scale forest covers change using coarse spatial resolution imagery / R.H. Fraser in Remote sensing of environment, vol 95 n° 4 (30/04/2005)
[article]
Titre : A method for detecting large-scale forest covers change using coarse spatial resolution imagery Type de document : Article/Communication Auteurs : R.H. Fraser, Auteur ; A. Abuelgasim, Auteur ; R. Latifovic, Auteur Année de publication : 2005 Article en page(s) : pp 414 - 427 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Canada
[Termes IGN] classificateur paramétrique
[Termes IGN] classification par arbre de décision
[Termes IGN] couvert forestier
[Termes IGN] détection de changement
[Termes IGN] données auxiliaires
[Termes IGN] grande échelle
[Termes IGN] image à basse résolution
[Termes IGN] image à moyenne résolution
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] modèle de régression
[Termes IGN] régression
[Termes IGN] surveillance forestièreRésumé : (Auteur) Many large countries, including Canada, rely on earth observation as a practical and cost-effective means of monitoring their vast inland ecosystems. A potentially efficient approach is one that detects vegetation changes over a hierarchy of spatial scales ranging from coarse to fine. This paper presents a Change Screening Analysis Technique (Change-SAT) designed as a coarse filter to identify the location and timing of large (>5-1 0 kM2) forest cover changes caused by anthropogenic and natural disturbances at an annual, continental scale. The method uses change metrics derived from 1-km multi-temporal SPOT VEGETATION and NOAA AVHRR imagery (reflectance, temperature, and texture information) and ancillary spatial variables (proximity to active fires, roads, and forest tenures) in combination with logistic regression and decision tree classifiers. Major forest changes of interest include wildfires, insect defoliation, forest harvesting and flooding. Change-SAT was tested for 1998-2000 using an independent sample of change and no-change sites over Canada. Overall accuracy was 94% and commission error, especially critical for large-area change applications, was less than 1%. Regions identified as having major or widespread changes could be targeted for more detailed investigation and mapping using field visits, aerial survey or fine resolution EO methods, such as those being applied under Canadian monitoring programs. This multi-resolution approach could be used as pan of a forest monitoring system to report on carbon stocks and forest stewardship. Numéro de notice : A2005-186 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.014 En ligne : https://doi.org/10.1016/j.rse.2004.12.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27323
in Remote sensing of environment > vol 95 n° 4 (30/04/2005) . - pp 414 - 427[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)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)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)PermalinkImprovement of an oak canopy model extracted from digital photogrammetry / P. Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)PermalinkTélédétection satellitale très haute résolution spatiale (THRS) et caractérisation de couverts forestiers / D. Corti (2001)PermalinkUtilisation de la photographie aérienne et de l'imagerie satellitaire pour la cartographie de l'évolution du couvert ligneux dans le Nord-Cameroun / J.L. Yengue in Photo interprétation, vol 38 n° 1-2 (Mars 2000)PermalinkApport de la modélisation du transfert radiatif pour l'étude des écosystèmes forestiers par télédétection / V. Pinel (1997)PermalinkEtude de la résolution spatiale optimale dans un milieu forestier de moyenne montagne / Dave Dionne in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 141 (Janvier 1996)PermalinkSurveillance des sols dans l'environnement par télédétection et Systèmes d'Information Géographiques / R. Escadafal (1996)Permalink