Centre dedocumentation
scientifique

Individual tree basal area increment models for broadleaved forests in Bhutan / Jigme Tenzin in Forestry, an international journal of forest research, vol 90 n° 3 (May 2017)  

Public [article]  inForestry, an international journal of forest research > vol 90 n° 3 (May 2017) . - pp 367 - 380 Titre : Individual tree basal area increment models for broadleaved forests in Bhutan Type de document : Article/Communication Auteurs : Jigme Tenzin, Auteur ; Karma Tenzin, Auteur ; Hubert Hasenauer, Auteur Année de publication : 2017 Article en page(s) : pp 367 - 380 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes descripteurs IGN] analyse en composantes principales [Termes descripteurs IGN] Bhoutan [Termes descripteurs IGN] feuillu [Termes descripteurs IGN] gestion forestière durable [Termes descripteurs IGN] inventaire forestier étranger (données) [Termes descripteurs IGN] modèle de croissance [Termes descripteurs IGN] surface terrière Résumé : (Auteur) The correct and accurate assessments of growing stock (stem volume) in combination with forest growth predictions from models are essential for sustainable forest management. Currently, no such information exists for the broadleaved forests of Bhutan. This study evaluates the important factors of individual tree growth for broadleaved species in Dagana, Bhutan. Data were collected from 96 inventory plots covering forest stand information, tree and stand parameters along with 5-year tree growth increment information from tree cores. Due to the large number of tree species (87), four species groups were created using principal component and cluster analysis to simplify the calibration of individual tree basal area increment (BAI) models. The main determinants of tree growth were shown to be tree size variables and competition within a forest stand. Distance dependent competition indices showed higher correlation to growth than distance independent competition indices. The resulting increment models provided consistent and unbiased estimates of individual tree BAI predictions. Increasing competition levels reduce the productivity of the individual trees. This emphasises the need for crown release to obtain higher individual tree growth. We demonstrate that the BAI models developed in this study can be used to predict tree growth by species group according to different stand density conditions and, if they are verified on a wider scale, could form the basis of sustainable forest management in Bhutan. Numéro de notice : A2017-878 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpw065 En ligne : https://doi.org/10.1093/forestry/cpw065 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91171 [article]

Development and testing of a generic sensor model for pushbroom satellite imagery / T. Weser in Photogrammetric record, vol 23 n° 123 (September - November 2008)

Public [article]  inPhotogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 255 - 274 Titre : Development and testing of a generic sensor model for pushbroom satellite imagery Type de document : Article/Communication Auteurs : T. Weser, Auteur ; Franz Rottensteiner, Auteur ; J. Willneff, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 255 - 274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes descripteurs IGN] Bhoutan [Termes descripteurs IGN] capteur en peigne [Termes descripteurs IGN] correction géométrique [Termes descripteurs IGN] erreur systématique [Termes descripteurs IGN] espace image [Termes descripteurs IGN] espace objet [Termes descripteurs IGN] fonction spline [Termes descripteurs IGN] image ALOS-PRISM [Termes descripteurs IGN] image Quickbird [Termes descripteurs IGN] image SPOT 5 [Termes descripteurs IGN] MELBOURNE [Termes descripteurs IGN] modélisation géométrique de prise de vue [Termes descripteurs IGN] orientation du capteur [Termes descripteurs IGN] test de performance Résumé : (Auteur) A new generic pushbroom sensor model for high-resolution satellite images in which the orbit and attitudes are modelled by splines is presented. Direct observations for the satellite orbits and attitudes provided in imagery metadata files are used to determine the parameters of these splines. As such observations are contaminated by systematic errors, the new sensor model also incorporates error correction for the orbit and attitude angles. Camera model parameter definitions and file formats generally differ between satellite pushbroom scanners, and the system image- to object-space transformation models are not always compatible with a sensor model based on the familiar perspective model applied in photogrammetry. In order to make the new sensor model applicable to a large number of satellite imaging systems, these vendor-specific definitions are first mapped to the definitions of the new sensor model during data import. This is illustrated for QuickBird, SPOT 5 and ALOS PRISM imagery. The model has been extensively tested using imagery from these same three satellites, over test sites in Melbourne and Bhutan. The tests have shown that the new sensor model can produce georeferencing accuracy of 1 pixel and better when biases in orbit and attitude data are compensated. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-392 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29385 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-08031	RAB	Revue	Centre de documentation	En réserve 3L	Disponible