Vegetation measurement using image processing methods

Murvet Kirci; Ece Olcay Gunes; Yuksel Cakir; Selver Sentiirk

doi:10.1109/Agro-Geoinformatics.2014.6910608

Vegetation measurement using image processing methods

Murvet Kirci^*, Ece Olcay Gunes, Yuksel Cakir, Selver Sentiirk

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Measurable value of the vegetation cover is an important parameter widely used to estimate the yield, to estimate the agricultural loss (because of illness, pests, freezing, etc.), to be informed about land use, vegetation analysis, desertification and degradation etc. The current methods of measuring vegetation cover are performed into two ways; field measurements and remote sensing techniques. Traditionally, field measurements are made subjectively by visual assessment and it is very time consuming. Use of digital camera images for measuring vegetation cover is flexible and low cost method for monitoring the change of the land surface. In this work, the aim is to determine the rate of vegetation cover of wheat fields by benefiting from images captured at different phenological periods of wheat using image processing techniques.

Original language	English
Title of host publication	2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479941575
DOIs	https://doi.org/10.1109/Agro-Geoinformatics.2014.6910608
Publication status	Published - 25 Sept 2014
Event	2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 - Beijing, China Duration: 11 Aug 2014 → 14 Aug 2014

Publication series

Name	2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014

Conference

Conference	2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Country/Territory	China
City	Beijing
Period	11/08/14 → 14/08/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

color indexes
image processing
vegetation cover measurement

Access to Document

10.1109/Agro-Geoinformatics.2014.6910608

Cite this

Kirci, M., Gunes, E. O., Cakir, Y., & Sentiirk, S. (2014). Vegetation measurement using image processing methods. In 2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 Article 6910608 (2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Agro-Geoinformatics.2014.6910608

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Kirci, M , Gunes, EO , Cakir, Y & Sentiirk, S 2014, Vegetation measurement using image processing methods. in 2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014., 6910608, 2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014, Institute of Electrical and Electronics Engineers Inc., 2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014, Beijing, China, 11/08/14. https://doi.org/10.1109/Agro-Geoinformatics.2014.6910608

Vegetation measurement using image processing methods. / Kirci, Murvet ; Gunes, Ece Olcay ; Cakir, Yuksel et al.
2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6910608 (2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kirci M , Gunes EO , Cakir Y, Sentiirk S. Vegetation measurement using image processing methods. In 2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6910608. (2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014). doi: 10.1109/Agro-Geoinformatics.2014.6910608

Vegetation measurement using image processing methods

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Keywords

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