Yüksek Çözünürlüklü Uydu Görüntüleri İle Zeytin Dikili Alanların Haritalanmasında Kullanabilecek En Uygun Yöntemin Belirlenmesi Üzerine Araştırmalar

Cilt: 49 Sayı: 1 1 Mart 2012
Mustafa Bolca , Fulsen Özen
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A research of a suitable method on mapping olive tree fields with high resolution satellite images

Abstract

Keywords

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Kaynakça

  1. Apan, A., Young, F., Phinn, S., Held, A. and Favier, J, 2004. Mapping Olive Varieties and Within-Field Spatial Variability Using High Resolution Quickbird Imagery. In Proceedings of 12th Australasian Remote Sensing and Photogrammetry Conference, Spatial Science Institute. 18-22 October 2004, Fremantle, Australia.
  2. Barata T. and Pina P., 2002. Morphological Segmentation of Remotely Sensed Forest Covers in High Spatial Resolution Images. CVRM/Centro de Geo-Sistemas, Instituto Superior Tecnico Av. Rovisco Pais, 1049-001 Lisboa, PORTUGAL. ISBN 0 643 06804 X
  3. Dogan, H., N. Ceylan, E. Unal, M. Aydoğdu, G. Nestı, J. Mason, P. Spruyt, 2004. Determining Olive Growing Areas and Establishing Olive Database of Balıkesir-Burhaniye in Turkey. 10th Annual Conference on Control with Remote Sensing of Area-Based Subsidies, EC-JRC, 25-26 November 2004, Budapest-Hungary- ORA/POST 65783
  4. Falcón, J. D., J. González y G. Ambrosio, 2004. Detección De Olivos En Imágenes De Satélite De Alta Resolución. Revista de Teledetección. 2004. 21: 5-9.
  5. FAO, 2010. “Food and Agrıculture Organızatıon of the Unıted Natıons, FAOSTAT, Crops”, http://faostat.fao.org/DesktopDefault.aspx?PageID=567#ancor. Erişim Tarihi: Ağustos 2010.
  6. Gonzalez J., C. Galindo, V. Arevalo, and G. Ambrosio, 2007. Applying Image Analysis and Probabilistic Techniques for Counting Olive Trees in High-Resolution Satellite Images. 0302- 9743 (Print) 1611-3349 (Online). Volume 4678/2007. Springer Berlin / Heidelberg
  7. Intenational Olive Council, “World Olive Oil Figures”, http://www.internationaloliveoil.org/web/aa- ingles/corp/AreasActivitie/economics/AreasActivitie.html. Erişim tarihi: Eylül 2010.
  8. Islam Z. and Metternicht G., 2003. Fuzzy Approach to Mapping Tree Crowns and Species from a Forested Area using High Resolution Multispectral Data. Asian Journal of Geoinformatics, Vol. 41, No. 1 September 2003 .Published by ARSRIN, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
  9. Joint Research Center (JRC), “Computer-Assisted Recognition of Olive Trees in Digital Imagery”, http://mars.jrc.it/Documents/Olivine/COMPUTER- ASSISTED%20RECOGNITION%20OT%20OT.htm. Erişim tarihi: Ağustos 2004.
  10. Karantzalos, G. K., and Argialas, P. D., 2004. Towards Automatic Olive Tree Extraction from Satellite Imagery, Commission III, WG 4, Greece.

Kaynak Göster

APA
Bolca, M., & Özen, F. (2012). Yüksek Çözünürlüklü Uydu Görüntüleri İle Zeytin Dikili Alanların Haritalanmasında Kullanabilecek En Uygun Yöntemin Belirlenmesi Üzerine Araştırmalar. Journal of Agriculture Faculty of Ege University, 49(1), 63-70. https://izlik.org/JA87FX93JC