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Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations / Hanieh Saremi in Annals of Forest Science, vol 71 n° 7 (October 2014)  

Public [article]  inAnnals of Forest Science > vol 71 n° 7 (October 2014) . - pp 771 - 780 Titre : Impact of local slope and aspect assessed from LiDAR records on tree diameter in radiata pine (Pinus radiata D. Don) plantations Type de document : Article/Communication Auteurs : Hanieh Saremi, Auteur ; L. Kumar, Auteur ; Russell Turner, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 771 - 780 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biomasse [Termes IGN] pente [Termes IGN] Pinus (genre) [Termes IGN] topographie locale Résumé : (Auteur) Context Reliable information on tree stem diameter variation at local spatial scales and on the factors controlling it could potentially lead to improved biomass estimation over pine plantations. Aims This study addressed the relationship between local topography and tree diameter at breast height (DBH) within two even-aged radiata pine plantation sites in New South Wales, Australia. Methods A total of 85 plots were established, and 1,302 trees were sampled from the two sites. Airborne light detection and ranging (LiDAR) was used to derive slope and aspect and to link them to each individual tree. Results The results showed a significant relationship between DBH and local topography factors. At both sites, trees on slopes below 20° and on southerly aspects displayed significantly larger DBHs than trees on steeper slopes and northerly aspects. Older trees with similar heights also exhibited a significant relationship between DBH and aspect factor, where greater DBHs were found on southerly aspects. Conclusions The observed correlation between tree DBH and LiDAR-derived slope and aspect could contribute to the development of improved biomass estimation approaches in pine plantations. These topographical variables are easily attained with airborne LiDAR, and they could potentially improve DBH predictions in resource inventories (e.g. stand volume or biomass) and support field sampling design. Numéro de notice : A2014-534 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-014-0374-4 Date de publication en ligne : 16/04/2014 En ligne : https://doi.org/10.1007/s13595-014-0374-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74147 [article]

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Comparative assessment of the measures of thematic classification accuracy / C. Liu in Remote sensing of environment, vol 107 n° 4 (30/04/2007)  

Public [article]  inRemote sensing of environment > vol 107 n° 4 (30/04/2007) Titre : Comparative assessment of the measures of thematic classification accuracy Type de document : Article/Communication Auteurs : C. Liu, Auteur ; P. Frazier, Auteur ; L. Kumar, Auteur Année de publication : 2007 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] cartographie thématique [Termes IGN] classificateur [Termes IGN] coefficient de corrélation [Termes IGN] cohérence des données [Termes IGN] niveau d'analyse [Termes IGN] précision de la classification [Termes IGN] précision des données [Termes IGN] producteur [Termes IGN] utilisateur Résumé : (Auteur) Accuracy assessment of classified imagery is an important task in remote sensing. Various measures have been developed to describe and compare the accuracy of maps and the performance of different classifiers, but the extent to which these measures are consistent with each other is largely unknown. In this paper the consistency of fourteen category-level and twenty map-level accuracy measures was tested on 595 published error matrices using nonparametric correlation coefficients (Spearman's rho and Kendall's tau-b) as well as the probability of concordance. The results show that four groups can be identified for the category-level measures and three groups for map-level measures. The consistency among the measures within a group is generally higher than that among the measures from different groups though all the measures at the same level are highly consistent with each other. We recommend that user's accuracy and producer's accuracy and the overall accuracy should be provided as primary accuracy measures and the two relative entropy change measures and the mutual information normalized by the arithmetic mean of the entropies on map and ground truthing be provided as supplementary measures. The chance-corrected, error matrix-normalized and user's and producer's accuracy-combined measures were found to contain estimation and interpretation problems at both category- and map-levels and are therefore not recommended for general use. Copyright Elsevier Numéro de notice : A2007-158 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.10.010 En ligne : https://doi.org/10.1016/j.rse.2006.10.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28521 [article]