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Auteur Qing Xu |
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Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning / Qing Xu in Forest ecology and management, vol 434 (28 February 2019)
[article]
Titre : Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning Type de document : Article/Communication Auteurs : Qing Xu, Auteur ; Bo Li, Auteur ; Matti Maltamo, Auteur ; Timo Tokola, Auteur ; Zhengyang Hou, Auteur Année de publication : 2019 Article en page(s) : pp 205 - 212 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] allométrie
[Termes IGN] analyse comparative
[Termes IGN] détection d'arbres
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] méthode des moindres carrés
[Termes IGN] télédétection par lidar
[Termes IGN] théorie des probabilitésRésumé : (auteur) Biomass inventories that employ airborne laser scanning (ALS) require models that can predict tree diameter at breast height (DBH) from ALS-derived tree dimensions, as ALS can usually not directly measure DBH due to scanning angle, inadequate point density and canopy obstruction. Although some work has been done in using correlation as a measure of dependence to describe the linear relationship between variable means, none has investigated the copula-based measure of dependence for the prediction of DBH from ALS-derived height and crown diameter. Following the application of a locally-estimated copula method to 79 sample plots in eastern Finland, we compared the performance of the copula method with a baseline local regression (LOESS) model and an ordinary least squares (OLS) model. We found that the copula method outperformed the OLS model by decreasing 30% of the root-mean-squared error (RMSE). The copula method performed slightly better than the LOESS model for the original sample, but the results of the bootstrap samples showed that the variance in RMSE was sixteen times lower in the copula method than the LOESS model, suggesting that the copula had a more consistent and robust model performance across the 10,000 bootstrap samples. Moreover, while the LOESS model only predicts the conditional mean of the response variable, the copula method can also predict median and other quantiles. Numéro de notice : A2019 - 012 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.12.020 Date de publication en ligne : 19/12/2018 En ligne : https://doi.org/10.1016/j.foreco.2018.12.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91615
in Forest ecology and management > vol 434 (28 February 2019) . - pp 205 - 212[article]Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning / Qing Xu in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
[article]
Titre : Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning Type de document : Article/Communication Auteurs : Qing Xu, Auteur ; Zhengyang Hou, Auteur ; Matti Maltamo, Auteur ; Timo Tokola, Auteur Année de publication : 2014 Article en page(s) : pp. 65 - 75 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse combinatoire (maths)
[Termes IGN] arbre (flore)
[Termes IGN] étalonnage des données
[Termes IGN] forêt boréale
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] troncRésumé : (Auteur)Diameter distribution is essential for calculating stem volume and timber assortments of forest stands. A new method was proposed in this study to improve the estimation of stem volume and timber assortments, by means of combining the Area-based approach (ABA) and individual tree detection (ITD), the two main approaches to deriving forest attributes from airborne laser scanning (ALS) data. Two methods, replacement, and histogram matching were employed to calibrate ABA-derived diameter distributions with ITD-derived diameter estimates at plot level. The results showed that more accurate estimates were obtained when calibrations were applied. In view of the highest accuracy between ABA and ITD, calibrated diameter distributions decreased its relative RMSE of the estimated entire growing stock, saw log and pulpwood fractions by 2.81%, 3.05% and 7.73% points at best, respectively. Calibration improved pulpwood fraction significantly, which contributed to the negligible bias of the estimated entire growing stock. Numéro de notice : A2014-329 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.03.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.03.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73680
in ISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 65 - 75[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014071 RAB Revue Centre de documentation En réserve L003 Disponible Stepwise decomposition of full-waveform data based on Levenberg Marquardt / Pengcheng Li in Studies in Surveying and Mapping Science, vol 2 (2014)
[article]
Titre : Stepwise decomposition of full-waveform data based on Levenberg Marquardt Type de document : Article/Communication Auteurs : Pengcheng Li, Auteur ; Qing Xu, Auteur ; Pingyuan Cui, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 14 - 19 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de Levenberg-Marquardt
[Termes IGN] compensation par moindres carrés
[Termes IGN] décomposition de Gauss
[Termes IGN] données lidar
[Termes IGN] données localisées 3DRésumé : (auteur) Compared with traditional airborne LiDAR, the advantage of full-waveform LiDAR is that it digitalizes the full backscattered information. Waveform decomposition is the most important part of waveform data processing. A method of stepwise decomposition of full-waveform data based on Levenberg Marquardt has been proposed, which employs stepwise decomposition and uses Levenberg Marquardt, which is a Gaussian function with non-linear least squares fitting algorithm, to obtain precise fitting waveform. Experiment results with 4 different waveform data acquired by RIEGL airborne LiDAR have proved that this method is available and effective. Numéro de notice : A2014-778 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78788
in Studies in Surveying and Mapping Science > vol 2 (2014) . - pp 14 - 19[article]Documents numériques
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Stepwise decomposition of full-waveform dataAdobe Acrobat PDF