Title :
Vegetation measurement using image processing methods
Author :
Kirci, Murvet ; Günes, Ece Olcay ; Cakir, Yuksel ; Sentürk, Selver
Author_Institution :
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey
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.
Keywords :
geophysical image processing; vegetation mapping; agricultural loss; desertification; digital camera images; field measurements; image processing techniques; land use; remote sensing techniques; vegetation analysis; vegetation cover; visual assessment; wheat fields; Agriculture; Digital cameras; Digital images; Image color analysis; Indexes; Soil; Vegetation mapping; color indexes; image processing; vegetation cover measurement;
Conference_Titel :
Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
Conference_Location :
Beijing
DOI :
10.1109/Agro-Geoinformatics.2014.6910608