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ارزیابی قابلیت طیف‌سنجی بازتابی در برآورد میزان کلروفیل و نیتروژن گندم

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه جغرافیا و برنامه‌ریزی شهری، دانشکدة علوم جغرافیایی و برنامه‌ریزی، دانشگاه اصفهان

2 دکتری سنجش از دور، گروه سنجش از دور و GIS، دانشکدة جغرافیا، دانشگاه تهران

3 بخش تحقیقات خاک و آب، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان آذربایجان‌شرقی، سازمان تحقیقات، آموزش و ترویج کشاورزی، تبریز

4 استادیار گروه مهندسی عمران، واحد سنندج، دانشگاه آزاد اسلامی، سنندج

5 استاد گروه خاک‌شناسی، دانشکدة کشاورزی، دانشگاه تربیت مدرس

چکیده

کلروفیل و نیتروژن برگ، به‌دلیل نقش مهمی که در فتوسنتز دارند، از شاخص‌های بیولوژیک مهم وضعیت فیزیولوژیک گیاهان به‌شمار می‌روند. توانایی در کمّی‌سازی میزان کلروفیل و نیتروژن می‌تواند اطلاعات مهمی در زمینة فعالیت‌های کشاورزی دقیق، برنامه‌ریزی مدیریت منابع گیاهی و کشاورزی، و مدل‌سازی خدمات و قابلیت‌های تولید اکوسیستم تهیه کند. هدف از این مطالعه ارزیابی قابلیت شاخص‌ها، به‌منظور تخمین میزان کلروفیل و نیتروژن گندم، با استفاده از داده‌های طیف‌سنجی در سطح تاج‌پوشش و همچنین تعیین مناسب‌ترین نواحی طیفی و پدیده‌های جذبی است. این پژوهش در محیط گلخانه انجام شد و اندازه‌گیری طیفی با دستگاه طیف‌سنج Fieldspec-3-ASD صورت گرفت. چهار شاخص باریک باند گیاهی، در قالب دو دستة شاخص‌های نسبتی (NDVI، RVI و DVI) و شاخص تعدیل‌کنندة تأثیر خاک (SAVI2) برای بازتاب طیفی و مشتق اول طیف برای کل نمونه‌ها، محاسبه و نتایج آنها مقایسه شد. پارامترهای عمق باند ماکزیمم، طول موج عمق باند ماکزیمم، مساحت، چولگی و پهنای کامل در نصف مقدار بیشینه، درمورد هفت پدیدة‌ جذبی محاسبه و همبستگی این شاخص‌ها با غلظت کلروفیل و نیتروژن گندم بررسی شد. نتایج نشان دادند، درصورتی‌که از طیف بازتابندگی استفاده شود، شاخص SAVI2 ارتباطی قوی‌تر (۱۲/۰ =RMSE، ۸۵/۰=R2) از دیگر شاخص‌ها با میزان کلروفیل نشان می‌دهد و درمورد شاخصNDVI  نیز، این ارتباط قوی‌تر (۳۰/۰ =RMSE، ۶۹/۰=R2) از شاخص‌های دیگر با میزان نیتروژن خواهد بود؛ درحالی‌که با استفاده از مشتق اول بازتاب طیفی شاخص NDVI نتایج بهتری ارائه می‌دهند. مساحت و عمق محدودة جذبی ۷۶۰-4۳0 نانومتر برای مطالعة میزان کلروفیل و نیتروژن گندم بهترین شاخص‌ها محسوب می‌شوند.

کلیدواژه‌ها

عنوان مقاله [English]

Evaluating Capability of Reflectance Spectrometry for Estimating the Wheat Chlorophyll and Nitrogen

نویسندگان [English]

  • Ali Sadeghi 1
  • saham Mirzaei 2
  • Saghar Chakherlou 3
  • Mehdi Gholamnia 4
  • Hossein Ali Bahrami 5

1 Assistant prof., Dep. of Geography and Urban Planning, Faculty of Geographical Sciences and Planning, University of Isfahan

2 Ph.D. of Remote Sensing, Dep. of Remote Sensing and GIS, Faculty of Geography, University of Tehran

3 Dep. of Soil and Water Research, East Azarbaijan Agricultural and Natural Resources Research and Training Center, Tabriz

4 Assistant Prof., Dep. of Civil Engineering, Sanandaj Branch, Islamic Azad University

5 Prof. of Dep. of Soil Science, Faculty of Agriculture, Tarbiat Modares University

چکیده [English]

Leaf chlorophyll and nitrogen, due to their important role in photosynthesis are among the major biological parameters of plant physiological status. The ability to quantify chlorophyll and nitrogen can provide important information for precision agricultural activities, plant and agricultural resource management planning, and modeling ecosystem services and production capabilities. This study aimed to assess the capability of indices for estimating the amount of chlorophyll and nitrogen in wheat using spectral data at the canopy level and also determine the most suitable spectral regions and absorption features for this purpose. This research was carried out in a greenhouse environment and the spectroscopic measurements were performed using ASD Fieldspec-3 full-range spectral spectroradiometer. Four plant band indices were classified into two groups of ratio- (NDVI, RVI, and DVI) and soil-based indices (SAVI2) for the raw spectrum and the first derivative of the spectrum for the total samples, and the results were compared. The parameters of position, depth, area, asymmetry and width were calculated for seven absorption features extracted from continuum-removed spectra, and the correlation of these indices with chlorophyll and nitrogen content of wheat was examined. The results showed that SAVI2 had a stronger correlation (RMSE = 0.12, R2 = 0.85) with the chlorophyll content NDVI (RMSE=0.30, R2=0.69) had a higher correlation with the nitrogen content, while using the first derivative with NDVI provided better results. Moreover, area and depth parameters of 430-760 nm absorption spectrum were the best indicators for estimating the amount of chlorophyll and nitrogen in wheat, respectively.

کلیدواژه‌ها [English]

  • Chlorophyll
  • Nitrogen
  • Wheat
  • Narrow band index
  • Continuum removal
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نشریه سنجش از دور و GIS ایران
دوره 14، شماره 4 - شماره پیاپی 56
دی 1401
صفحه 119-134
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اشتراک گذاری
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