LeboeufBeaudoinFournierEtAl2007

Référence

Leboeuf, A., Beaudoin, A., Fournier, R.A., Guindon, L., Luther, J.E., Lambert, M.-C. (2007) A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery. Remote Sensing of Environment, 110(4):488-500. (Scopus )

Résumé

We have developed and tested a method for mapping above-ground forest biomass of black spruce (Picea mariana (Mill.) B.S.P.) stands in northern boreal forests of eastern Canada. The method uses QuickBird images and applies image processing algorithms to extract tree shadow fraction (SF) as a predictive variable for estimating biomass. Three QuickBird images acquired over three test sites and 108 ground sample plots (GSP) were used to develop and test the method. SF was calculated from the fraction of tree shadow area over the area of a reference square overlaid on the images. Linear regressions between biomass of GSP and SF from the images for each test site resulted in R<sup>2</sup> in the range from 0.85 to 0.87 (except one case at 0.41), RMSE of 11 to 18 t/ha and bias of 2 to 5 t/ha. Statistical tests demonstrated that local regressions for the three test sites were not statistically significantly different. Consequently, a global regression was calculated with all GSP and produced R<sup>2</sup>, RMSE, and bias of 0.84, 14.2 t/ha and 4.2 t/ha, respectively. While generalization of these results to extended areas of the boreal forest would require further assessment, the SF method provided an efficient means for mapping biomass of black spruce stands for three test areas that are characteristic of the northern boreal forest of eastern Canada (boreal and taiga shield ecozones). © 2007 Elsevier Inc. All rights reserved.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { LeboeufBeaudoinFournierEtAl2007,
    AUTHOR = { Leboeuf, A. and Beaudoin, A. and Fournier, R.A. and Guindon, L. and Luther, J.E. and Lambert, M.-C. },
    TITLE = { A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery },
    JOURNAL = { Remote Sensing of Environment },
    YEAR = { 2007 },
    VOLUME = { 110 },
    PAGES = { 488-500 },
    NUMBER = { 4 },
    ABSTRACT = { We have developed and tested a method for mapping above-ground forest biomass of black spruce (Picea mariana (Mill.) B.S.P.) stands in northern boreal forests of eastern Canada. The method uses QuickBird images and applies image processing algorithms to extract tree shadow fraction (SF) as a predictive variable for estimating biomass. Three QuickBird images acquired over three test sites and 108 ground sample plots (GSP) were used to develop and test the method. SF was calculated from the fraction of tree shadow area over the area of a reference square overlaid on the images. Linear regressions between biomass of GSP and SF from the images for each test site resulted in R<sup>2</sup> in the range from 0.85 to 0.87 (except one case at 0.41), RMSE of 11 to 18 t/ha and bias of 2 to 5 t/ha. Statistical tests demonstrated that local regressions for the three test sites were not statistically significantly different. Consequently, a global regression was calculated with all GSP and produced R<sup>2</sup>, RMSE, and bias of 0.84, 14.2 t/ha and 4.2 t/ha, respectively. While generalization of these results to extended areas of the boreal forest would require further assessment, the SF method provided an efficient means for mapping biomass of black spruce stands for three test areas that are characteristic of the northern boreal forest of eastern Canada (boreal and taiga shield ecozones). © 2007 Elsevier Inc. All rights reserved. },
    COMMENT = { Cited By (since 1996): 11 Export Date: 10 February 2010 Source: Scopus CODEN: RSEEA doi: 10.1016/j.rse.2006.05.025 },
    ISSN = { 00344257 (ISSN) },
    KEYWORDS = { Biomass, Black spruce, Mapping, Northern boreal forest, QuickBird, Remote sensing, Shadow fraction, Subarctic forest, Algorithms, Biomass, Image processing, Linear regression, Remote sensing, Ground sample plots (GSP), Shadow fraction (SF), Forestry, biomass, boreal forest, coniferous forest, remote sensing, satellite imagery, vegetation mapping, Algorithms, Biomass, Forests, Picea Mariana, Remote Sensing, Canada, North America, Picea mariana },
    OWNER = { Luc },
    TIMESTAMP = { 2010.02.10 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-34548390574&partnerID=40&md5=ca22c6a1cc6975738d878870d5757218 },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - Mycorhizes_2019 ****************** **********************************************************

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...