تشخیص و بررسی استرس گندم با استفاده از تصاویر ماهواره‌ای (مطالعه موردی : دشت مغان )
محورهای موضوعی : کاربرد GIS&RS در برنامه ریزیعادل مردانه 1 , فرشاد امیر اصلانی 2 , سید کاظم علوی پناه 3
1 - کارشناس ارشد سنجش از دور و سیستم اطلاعات جغرافیایی، دانشگاه تهران، ایران
2 - استاد گروه سنجش از دور و سیستم اطلااعات جغرافیایی ، دانشگاه تهران
3 - گروه سنجش از دور و سیستم اطلاعات جغرافیایی، دانشگاه تهران
کلید واژه: گندم, شاخص‌های سبزینگی گیاهی, چندطیفی, استرس گیاهی,
چکیده مقاله :
در این پژوهش هدف بررسی توانمندی و قابلیت سنجش‌ازدور و تصاویر ماهواره‌ای در بررسی تغییرات طیفی گیاه گندم و تشخیص امراض و استرس آن در منطقه دشت مغان در شهرستان پارس‌آباد هست. دستیابی به چنین قابلیتی می‌تواند در پیش‌بینی به‌موقع امراض و آفت‌ها و هم‌چنین جلوگیری از گسترش آن و استفاده به‌موقع از قارچ‌کش‌ها و سموم دفع آفات نباتی مفید واقع شود. در راستای نیل به این هدف خصوصیات طیفی گندم و گیاهان دیگر موجود با استفاده از ماهواره‌های IRS و لندست 8 موردبحث و بررسی قرار می‌گیرد. گیاه گندم دارای گونه‌های مختلفی هست که در این منطقه گندم آتیلا و گندم کوهی بیشتر کشت می‌شود که در این تحقیق رفتارهای طیفی آن‌ها مورد ملاحظه قرار می‌گیرد. در این پژوهش از 146 نقطه کنترل زمینی استفاده شد که بیشترین درصد منطقه ازلحاظ درجه استرس به طبقه 2 و کمترین آن به درجه صفر یا طبقه سالم تعلق گرفت. پس از اعمال تصحیحات اتمسفری و هندسی بر روی تصاویر ماهواره‌ای موجود ؛ نسبت‌های باندی مختلفی به‌منظور شناسایی بهترین ترکیب باندی و تفکیک‌پذیری کلاس‌های سالم و درجه‌های استرس یک ، دو و سه مدنظر قرار گرفت. جهت نیل به این هدف از شاخص‌های استرس و سبزینگی پوشش گیاهی مختلفی استفاده شد. از بین شاخص‌ها، شاخص GNDVI بیشترین کارایی را داشت و توانست 81% وضعیت مناطق را درست برآورد کند. شاخص GVI دارای بیشترین مقدار ضریب کاپا و صحت کلی به ترتیب با 94/0 و 3/95 است که نشان از کاربرد بالای این شاخص در درجه بندی استرس گیاه گندم می باشد. هم چنین این شاخص بیشترین مساحت را به درجه استرس یک اختصاص داد.
In this study, the aim is to investigate the ability of remote sensing and satellite images to study the spectral changes of wheat and diagnose diseases and its stress in the Moghan plain area in Parsabad city. Achieving such a capability can be useful in prediction of diseases and pests, as well as preventing its spread and timely use of fungicides and pesticides. In order to achieve this goal, the spectral properties of wheat and other plants are studied using IRS and Landsat 8 satellites. Wheat plant has different species in which Attila and Koohi wheat are mostly cultivated in this region, and in this study, their spectral behaviors are considered. In this study, 146 ground control points were used, the highest percentage of the region in terms of the degree of stress to grade 2 and the lowest to the healthy class. After applying atmospheric and geometric corrections on satellite images; Bond ratios were used to identify the best band composition and separability of healthy classes and stress levels one, two, and three. To achieve this goal, different vegetation indices were used. Among the indicators, the GNDVI index was the most efficient and was able to accurately estimate 81% of the areas. Also, GVI index has the highest value of kappa coefficient and overall accuracy with 0.94 and 95.3, respectively, which indicates the high use of this index in grading wheat stress. This index also gave the most area to the degree of stress one.
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