Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/23745

Title: Absolute density measures estimation functions with high resolution satellite images
Authors: Gonçalves, Ana Cristina
Sousa, Adélia M. O.
Editors: Rocha, Jorge
Keywords: QuickBird image
multi-resolution segmentation
crown horizontal projection
absolute density measures
regression
Issue Date: 2018
Publisher: InTech
Citation: Gonçalves, A. C.; Sousa, A. M. O.; 2018. Absolute density measures estimation functions with high resolution satellite images. In: Spatial Analysis, Modelling and Planning. Jorge Rocha (ed). InTech, Rijeka, Croatia. (chapter 4). 61-78 pp.
Abstract: Assessment and monitoring of forest structure is frequently done with absolute density measures with field forest inventory data and expansion methods. The development of basal area and number of trees estimation functions with data derived from very high spatial resolution satellite images enables their short term and cost effective evaluation, allowing also the estimation for all the area not requiring extrapolation methods. The functions of basal area and number of trees per hectare are based on crown cover obtained with very high spatial resolution satellite images for two evergreen oaks and umbrella pine. The three tree species are especially important in the agroforestry systems of the Mediterranean region. The linear functions fitted for pure stands of the three species and mixed stands of cork and holm oak and of cork oak and umbrella pine, showed a better performance for basal area than for the number of trees per hectare. The inclusion of dummy variables for species composition improved the accuracy of the functions.
URI: https://www.intechopen.com/books/spatial-analysis-modelling-and-planning/absolute-density-measures-estimation-functions-with-very-high-resolution-satellite-images
http://hdl.handle.net/10174/23745
Type: bookPart
Appears in Collections:ICAAM - Publicações - Capítulos de Livros
ERU - Publicações - Capítulos de Livros

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