نوع مقاله : علمی - پژوهشی

نویسندگان

1 استادیار مرکز مطالعات سنجش از دور و GIS، دانشکدة علوم زمین، دانشگاه شهید بهشتی

2 استاد مرکز مطالعات سنجش از دور و GIS، دانشکدة علوم زمین، دانشگاه شهید بهشتی

3 دانشجوی کارشناسی ارشد سنجش از دور و GIS، مرکز مطالعات سنجش از دور و GIS، دانشگاه شهید بهشتی

چکیده

بیماری‌های زنگ زرد و قهوه‌ای گندم ازجمله مهم‌ترین بیماری‌های غلات در ایران و سایر کشورهای دنیا محسوب می‌شوند که سالیانه خسارات جبران‌ناپذیری را به اقتصاد کشاورزی وارد می‌کنند و در اغلب موارد، هم‌زمان رخ می‌دهند. بنابراین در این تحقیق، اثر بیماری‌های زنگ زرد و قهوه‌ای گندم در بازتابندگی برگ، با استفاده از شاخص‌های طیفی در مدل تاج‌پوشش، بررسی شد. بدین‌منظور، شاخص‌های گوناگون پوشش گیاهی استخراج‌شده از طیف برگ بیمار ارزیابی شدند. برای این کار، میزان گسترش بیماری‌های زنگ زرد و قهوه‌ای سطح برگ و درجات متفاوت آنها، با استفاده از دوربین دیجیتال و الگوریتم چندمرحله‌ای شامل تبدیلات رنگ، تهیة ماسک، استفاده از بافت و طبقه‌بندی حداکثر احتمال، استخراج شد. همچنین نتایج نشان داد، با افزایش نسبت سطح بیمار برگ، مقادیر عددی شاخص‌ها تغییر می‌کند؛ درحالی‌که پراکندگی داده‌ها به‌صورت کاملاً مشخصی افزایش می‌یابد. بیشترین میزان همبستگی برای شاخص NDVI برابر با 9/0و حداقل در شاخص حداکثر شیب قرمز برابر با 2/0 است. با ارائة معیار همانندی، دامنة تغییرات و نیز پراکندگی درون‌کلاسی، روابط طیف و بیماری بررسی و مشخص شد که با گسترش بیماری، معیارهای مورد اشاره تغییر می‌یابند. اگرچه در بیماری زنگ زرد این تغییرات دیده نمی‌شود، در شاخص‌های گوناگون طیفی با افزایش میزان بیماری، اختلاط طیفی در بخش‌های متفاوت زرد، نارنجی، قهوه‌ای و مردة گیاه دلیلی بر پراکندگی داده‌ها با گسترش بیماری محسوب می‌شود.

کلیدواژه‌ها

عنوان مقاله [English]

Evaluation of Vegetation Indices to Recognizing Wheat Leaf and Yellow Rust at Canopy Scale

نویسندگان [English]

  • D Ashourloo 1
  • H Aghighi 2
  • A.A Matkan 2
  • H Nematollahi 3

1 Assistant Prof. of R.S. & GIS Research Center, Shahid Beheshti University

2 Assistant Prof. of R.S. & GIS Research Center, Shahid Beheshti University

3 M.Sc. Student of R.S. & GIS, Remote Sensing & GIS Research Center, Shahid Beheshti University

چکیده [English]

Wheat rust is one of the important diseases of cereal crops in Iran and other countries in the world which imposes irreparable damages to the agricultural economy. In this study, the effects of the leaf and yellow rust disease on wheat leaves reflectance were studied. For this purpose, various vegetation indices derived from leaf spectra were measured. To do this, diseases ratio and varying degrees of disease were extracted by using digital camera and multi-step algorithm including color Transformation, mask preparation, texture and maximum likelihood classification. Results show variation in the values of the parameters with changing in proportion of disease whereas the data scattering of indexes Increase quickly. The highest correlation was for the NDVI (0.9) and the minimum was for the red slope (0.2). With the similarity criteria, range and inter-class scattering relations of spectra and disease were studied and with Increasing of the disease ratio. These criteria are altered by developing of disease ratio .Further investigation showed, spectrum mixing in different fraction of yellow, orange, brown and dead is a cause for data scattering with disease development.

کلیدواژه‌ها [English]

  • Precision farming
  • Spectral data
  • Canopy scale
  • Narrow band vegetation indexes
  • Wheat leaf and yellow rust
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