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Predicting tree diameter distributions from airborne laser scanning, SPOT 5 satellite, and field sample data in the perm region, Russia / Jussi Peuhkurinen in Forests, vol 9 n° 10 (October 2018)  

Public [article]  inForests > vol 9 n° 10 (October 2018) Titre : Predicting tree diameter distributions from airborne laser scanning, SPOT 5 satellite, and field sample data in the perm region, Russia Type de document : Article/Communication Auteurs : Jussi Peuhkurinen, Auteur ; Timo Tokola, Auteur ; Kseniia Plevak, Auteur ; Sanna Sirparanta, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies sibirica [Termes IGN] Alnus incana [Termes IGN] Betula pendula [Termes IGN] classification barycentrique [Termes IGN] diamètre des arbres [Termes IGN] données de terrain [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image SPOT 5 [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] Picea abies [Termes IGN] Pinus sibirica [Termes IGN] Pinus sylvestris [Termes IGN] placette d'échantillonnage [Termes IGN] Populus tremula [Termes IGN] Russie [Termes IGN] Salix caprea [Termes IGN] Tilia cordata [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) A tree list is a list of trees in the area of interest containing, for example, the species, diameter, height, and stem volume of each tree. Tree lists can be used to derive various characteristics of the growing stock, and are therefore versatile and informative sources of data for several forest management purposes. Especially in heterogonous and unmanaged forest structures with multiple species, tree list estimates imputed from local reference field data can provide an alternative to mean value estimates of growing stock (e.g., basal area, total stem volume, mean tree diameter, mean tree height, and number of trees). In this study, reference field plots, airborne laser scanning (ALS) data, and SPOT 5 satellite (Satellite Pour l’Observation de la Terre) imagery were used for tree list imputation applying the k most similar neighbors (k-MSN) estimation method in the West Ural taiga region of the Russian Federation for diameter distribution estimation. In k-MSN, weighted average of k field reference plots with highest similarity between field reference plot and target (forest grid cell, or field plot) based on ALS and SPOT 5 features were used to predict the mean values of growing stock and tree lists for the target object simultaneously. Diameter distributions were then constructed from the predicted tree lists. The prediction of mean values and diameter distributions was tested in 18 independent validation plots of 0.25–0.5 ha in size, whose species specific diameter distributions were measured in the field and grouped into three functional groups (Pines, Spruce/Fir, Broadleaf Group), each containing several species. In terms of root mean squared error relative to mean of validation plots, the accuracy of estimation was 0.14 and 0.17 for basal area and total stem volume, respectively. Reynolds error index values and visual inspection showed encouraging results in evaluating the goodness-of-fit statistics of the estimated diameter distributions. Although estimation accuracy was worse for functional group mean values and diameter distributions, the results indicate that it is possible to predict diameter distributions in forests of the test area with the tested methodology and materials. Numéro de notice : A2018-476 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/f9100639 Date de publication en ligne : 13/10/2018 En ligne : https://doi.org/10.3390/f9100639 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91176 [article]

Experiences and possibilities of ALS based forest inventory in Finland / Matti Maltamo (2007)  

Public contenu dans Proceedings of the ISPRS Workshop 'Laser Scanning 2007 and SilviLaser 2007' September 12-14, 2007 Espoo, Finland / Petri Rönnholm (2007)   Titre : Experiences and possibilities of ALS based forest inventory in Finland Type de document : Article/Communication Auteurs : Matti Maltamo, Auteur ; Petteri Packalen, Auteur ; Jussi Peuhkurinen, Auteur ; et al., Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 Conférence : ISPRS 2007, Workshop Laser Scanning and Silvilaser 12/09/2007 14/09/2007 Espoo Finlande OA Proceedings Importance : pp 270 - 279 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] Finlande [Termes IGN] inventaire forestier (techniques et méthodes) [Termes IGN] inventaire forestier étranger (données) Résumé : (auteur) During last ten years the research concerning airborne laser scanning base d forest inventory applications has been very active in different parts of the world. In Finland, both basic approaches, single tree detection and area based modeling have been widely examined. In the following the results of the ALS based forest inventory experiments and further possibilities in Finland are reviewed and discussed. A short review of Finnish forestry in relation to possibilities of ALS based forest invent ories is included as well. Finally, some examples concerning the comparison of single tree detection and area based modeling and the usability of spatial information provided by ALS data are presented. Numéro de notice : C2007-047 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W52/final_papers/Maltamo_2007_keynote. [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100590