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Original Articles

Estimation of Mediterranean forest attributes by the application of k‐NN procedures to multitemporal Landsat ETM+ images

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Pages 3781-3796 | Received 22 Jul 2003, Accepted 07 Mar 2005, Published online: 12 Apr 2011

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P Corona. (2010) Integration of forest mapping and inventory to support forest management. iForest - Biogeosciences and Forestry 3:3, pages 59-64.
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Crossref
Federica Baffetta, Lorenzo Fattorini, Sara Franceschi & Piermaria Corona. (2009) Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys. Remote Sensing of Environment 113:3, pages 463-475.
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Erkki O. Tomppo, Caterina Gagliano, Flora De Natale, Matti Katila & Ronald E. McRoberts. (2009) Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery. Remote Sensing of Environment 113:3, pages 500-517.
Crossref
Gherardo Chirici, Anna Barbati, Piermaria Corona, Marco Marchetti, Davide Travaglini, Fabio Maselli & Roberta Bertini. (2008) Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems. Remote Sensing of Environment 112:5, pages 2686-2700.
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Erkki Tomppo, Håkan Olsson, Göran Ståhl, Mats Nilsson, Olle Hagner & Matti Katila. (2008) Combining national forest inventory field plots and remote sensing data for forest databases. Remote Sensing of Environment 112:5, pages 1982-1999.
Crossref
Georgios Mallinis, Nikos Koutsias, Maria Tsakiri-Strati & Michael Karteris. (2008) Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site. ISPRS Journal of Photogrammetry and Remote Sensing 63:2, pages 237-250.
Crossref
R Bertini, G Chirici, P Corona & D Travaglini. (2007) Comparison between parametric and non-parametric methods for the spazialization of forest standing volume by integrating field measures, remote sensing data and ancillary data. Forest@ - Rivista di Selvicoltura ed Ecologia Forestale 4:1, pages 110-117.
Crossref
F. Maselli & M. Chiesi. (2006) Evaluation of statistical methods to estimate forest volume in a mediterranean region. IEEE Transactions on Geoscience and Remote Sensing 44:8, pages 2239-2250.
Crossref

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