Journal of Food, Agriculture and Environment

Vol 9, Issue 2,2011
Online ISSN: 1459-0263
Print ISSN: 1459-0255

Determination and monitoring of citrus plantation by using Landsat 7 ETM data in a selected area from the Çukurova region


Mehmet Eren Oztekin 1*, Suat Senol 1, Levent Atatanir 2, Mahmut Dingil 1, Oğuz Dinç 1

Recieved Date: 2011-01-20, Accepted Date: 2011-04-12


The citrus plantations in the Çukurova region were determined using the Landsat 7 ETM satellite data which was acquired in three years interval. Cadastral maps of the study area were digitized prior to the field work. The enhanced images, overlaid on the cadastral maps, are used in the field to collect information such as the location of citrus orchards, varieties and ages of trees, etc., in order to form a data base for the study area. The satellite images were later classified with the supervised and unsupervised classification methods to identify the location, variety and age of the orchards. The classified images were later compared with the ground truth. The most accurate result was obtained from the unsupervised classification method which had 6 classes. With this approach, the changes in last three years were determined and citrus plantation areas had increased by 71.2 ha in the whole study area. The citrus orchards 3 years old or younger could not be discriminated. The use of Landsat 7 ETM satellite data were found to be beneficial in determining the citrus production areas as well as monitoring the changes in their distribution. Unfortunately the varieties and the species could not be determined because of the similarities in reflection values.


Landsat, cadastral map, enhance image, classification, monitoring

Journal: Journal of Food, Agriculture and Environment
Year: 2011
Volume: 9
Issue: 2
Category: Environment
Pages: 498-503

Full text for Subscribers

Note to users

The requested document is freely available only to subscribers/registered users with an online subscription to the Journal of Food, Agriculture & Environment. If you have set up a personal subscription to this title please enter your user name and password. All abstracts are available for free.

Article purchasing

If you like to purchase this specific document such as article, review or this journal issue, contact us. Specify the title of the article or review, issue, number, volume and date of the publication. Software and compilation, Science & Technology, all rights reserved. Your use of this website details or service is governed by terms of use. Authors are invited to check from time to time news or information.

Purchase this Article:   20 Purchase PDF Order Reprints for 15

Share this article :