DocumentCode
513003
Title
Biomass estimation of Pinus radiata (D. Don) stands in Northwestern Spain by unmixing CCD CBERS data
Author
Sevillano-Marco, Eva ; Fernández-Manso, Alfonso ; Quintano, Carmen ; Shimabukuro, Yosio Edemir
Author_Institution
Dept. de Ing. y Cienc. Agrarias, Univ. de Leon, Ponferrada, Spain
Volume
4
fYear
2009
fDate
12-17 July 2009
Abstract
Remote sensing techniques provide information about volume, biomass and other biophysical parameters of forest stands. The estimation of biomass by satellite remote sensing has been tested considering a wide range of spatial scales, environments and methods. Although both its spatial resolution (20Ã20 m) and spectral resolution (5 bands) enable important applications in forestry research, Chinese-Brazilian Earth Resources Satellite (CBERS) data had not been used for this purpose in Europe yet. In this work, we examined the potential of the fraction images obtained by unmixing the Charge-Coupled Device (CCD) CBERS data for estimating Pinus radiata (D. Don) stand attributes, especially biomass, in a Northwestern Spain region. Fraction images from spectral unmixing show biophysics properties more easily than original bands because they represent physics aspects of ground covers. Preliminary results are satisfactory and reinforce the conviction of usefulness of CCD CBERS fraction images in assessing forestry systems in Spain.
Keywords
CCD image sensors; environmental factors; forestry; geophysical signal processing; remote sensing; spectral analysis; CCD CBERS data unmixing; Chinese-Brazilian Earth Resources Satellite; Pinus radiata stand biomass estimation; charge coupled device; forest stand biomass; forest stand biophysical parameters; forest stand volume; fraction images; northwestern Spain; satellite remote sensing; spectral unmixing; Biomass; Biophysics; Charge coupled devices; Earth; Europe; Forestry; Remote sensing; Satellites; Spatial resolution; Testing; CBERS; Pinus radiata (D. Don); biomass; unmixing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417386
Filename
5417386
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