Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/22407

Title: Pinus pinea above ground biomass estimation with very high spatial resolution satellite images
Authors: Gonçalves, Ana Cristina
Sousa, Adélia
Silva, José Rafael
Editors: Carrasquinho, I.
Correia, A.C.
Mutke, S.
Keywords: Multi-resolution segmentation
Object-oriented classification
Vegetation mask
Crown horizontal projection
Regression
Biomass estimation
Issue Date: 2017
Citation: Gonçalves, A.C.; Sousa, A.M.O.; Silva, J.R.M.; 2017. Pinus pinea above ground biomass estimation with very high spatial resolution satellite images. In: Mediterraneanpine nuts from forest and plantations. I. Carraquinho, A.C. Correia, S. Mutke (eds). Options Mediterranées, 122. 49-54.
Abstract: Above ground biomass is frequently estimated with forest inventory data and an extrapolation method for the per unit area evaluations. This procedure is labour demanding and costly. In this study above ground biomass functions, with crown horizontal projection as the independent variable, were developed. Multi-resolution segmentation method and object-oriented classification based on very high spatial resolution satellite images, were used to obtain the area of tree crown horizontal projection for Pinus pinea L. A set of inventory plots were measured and with existing allometric functions for this specie above ground biomass per tree and per plot were calculated. The two data sets were used to fit linear functions to estimate above ground biomass for individual plot and for their cumulative values. The results show a good performance of the models. Errors smaller than 10%, correspond to stand areas greater than 1.4 ha. These functions have the advantages of estimating above ground biomass for all the area under study or surveillance, not requiring forest inventory; allowing monitoring in short time periods and easily implemented in a geographical information system environment.
URI: http://om.ciheam.org/article.php?IDPDF=00007241
http://hdl.handle.net/10174/22407
Type: article
Appears in Collections:ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
ERU - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
Goncalves_etal_Pm_biomassa_2017.pdf454.85 kBAdobe PDFView/OpenRestrict Access. You can Request a copy!
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois