Automatic CORINE land cover classification from airborne LIDAR data-Reference-Cited by-同舟云学术

Automatic CORINE land cover classification from airborne LIDAR data

Published:2018 Issue: Volume:126 Page:186-194
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Balado Jesús,Arias Pedro,Díaz-Vilariño Lucía,González-deSantos Luis M.

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. Impact of urbanization and land-use change on climate;Kalnay;Nature,2003

2. Predicting land-use change;Veldkamp;Agric. Ecosyst. Environ,2001

3. G. Büttner, J. Feranec, G. Jaffrain, L. Mari, G. Maucha, and T. Soukup, “The CORINE land cover 2000 project,” EARSeL eProceedings, vol. 3, no. 3, pp. 331-346, 2004.

4. Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia);Feranec;Land use policy,2007

5. Determining changes and flows in European landscapes 1990–2000 using CORINE land cover data;Feranec;Appl. Geogr,2010

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