:: دانشگاه خوارزمی برای مشاهده سایت قبلی اینجا را کلیک کنید Kharazmi University ::
   [Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 17, Number 44 (6-2017) ::
researches in Geographical Sciences 2017, 17(44): 7-24 Back to browse issues page
Detection of the wheat rust disease infected farms using Landsat images
Mohamad Reza Mobasheri: 1, Samira Ranjbar2
1- Professor of remote sensing , Mohammadreza.mobasheri@khi.ac.ir
2- Ms.c student of remote sensing
Abstract:   (1571 Views)

The goal of this study is to identify farms which are affected by wheat rust disease. For this, the sensor data of Landsat 7 satellites in growing season of 2013 and 2014 along with some laboratorial data containing reflectance spectrum of leaf and leaf health degree in different levels of disease are used. The reflectance values of leaf are collected by an ASD spectroradiometer in the range of red and near infrared spectrum. The spectral are simulated for Landsat sensor bands using their spectral response functions. Then with the index of DVI and data obtained for leaf health, the Wheat Health Index was introduced. The correlation coefficient obtained is 0.82 and the relevant RMSE is 0.089 which is really good result for diagnosing highly advanced disease. The results show that, this index has a good performance in wheat high growing season when the greenness is high. It can diagnose regions that are healthy from those whom are blighted. Because the WHI index is a spectral index and is sensitive to leaf color, if the acquired images are close to the harvesting time, its performance will be weakened. The selected region in this survey is located in Fars, province, Saadatshahr city.

Keywords: Wheat Rust Disease, Spectral Index, DVI index, Landsat image, Remote Sensing.
Full-Text [PDF 367 kb]   (87 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/03/18 | Accepted: 2017/03/18 | Published: 2017/03/18
Send email to the article author

Add your comments about this article
Your username or email:

Write the security code in the box >



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mobasheri: M R, Ranjbar S. Detection of the wheat rust disease infected farms using Landsat images. researches in Geographical Sciences. 2017; 17 (44) :7-24
URL: http://jgs.khu.ac.ir/article-1-2720-en.html
Volume 17, Number 44 (6-2017) Back to browse issues page
نشریه تحقیقات کاربردی علوم جغرافیایی Scientific Journals Management System
Persian site map - English site map - Created in 0.142 seconds with 823 queries by yektaweb 3419