ارزیابی اثر اشباع شاخص های گیاهی در محاسبه شاخص سطح برگ محصولات زراعی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه سنجش از دور و GIS ، دانشکده جغرافیا، دانشگاه تهران

2 استادیار مرکز مطالعات سنجش از دور و GIS، دانشگاه شهید بهشتی

3 مرکز تحقیقات فضایی، پژوهشگاه فضایی ایران

4 استاد مرکز مطالعات سنجش از دور و GIS، دانشگاه شهید بهشتی

چکیده

شاخص‌های پوشش گیاهی برای برآورد پارامترهای پوشش گیاهی با استفاده از تصاویر ماهواره ای بکارگرفته می‌شوند. با وجود قابلیت‌های فراوان، بسیاری از این شاخص ها در مقادیر بالای پوشش گیاهی دچار خطا می‌شوند و قادر به برآورد صحیح پارامتر مورد بررسی نمی‌باشند. گیاه یونجه به دلیل تراکم و مقدار کلروفیل بالا می‌تواند شاخص‌های سنجش از دوری پوشش گیاهی را اشباع کند و امکان مطالعه و بررسی تغییرات آن از طریق سنجش از دور محدود می‌شود. با وجود این، تمام شاخص‌ها بصورت یکسان عمل نمی‌کنند و از این نظر با یکدیگر اختلاف‌هایی دارند. در این تحقیق عملکرد شاخص‌های مختلف پوشش گیاهی در مقادیر مختلف شاخص سطح برگ گیاه یونجه بررسی شده است. نتایج تحقیق نشان داده است که شاخص های CIgreen، CIrededge و NGRDI بهترین عملکرد را در مقادیر LAI بالا داشته و حساسیت کمتری به اشباع از خود نشان داده‌اند. در مقابل شاخص‌های NDVI، NDREI و GNDI عملکرد مناسبی نداشته و در مقادیر متوسط و بالای سطح برگ اشباع می‌شوند.

کلیدواژه‌ها

عنوان مقاله [English]

Investigation of the saturation effect of vegetation indices in LAI estimation of crops

نویسندگان [English]

  • Maedeh Behifar 1
  • Mohsen Azadbakht 2
  • Farzaneh Hadadi 3
  • AliAkbar Matkan 4
1 Remote Sensing and GIS department, School of Geography, University of Tehran
2 Assistant Professor in Remote Sensing, Remote Sensing and GIS Research Center
3 Remote sensing expert, Iranian Space Research Center
4 Professor in Remote Sensing, Remote Sensing and GIS Research Center
چکیده [English]

Vegetation indices are used to estimate vegetation parameters from satellite images. Despite their capabilities, performance of some vegetation indices decreases in high vegetation densities, making them inappropriate for estimation of the desired parameters. Vegetation indices are saturated in alfalfa farms due to the high chlorophyll content and high vegetation density; therefore, monitoring the changes of this plant is hindered. However, all indices do not perform similarly. In this research, the performance of different vegetation indices at different LAI values were investigated. The results showed that the CIgreen, CIrededge and NGRDI indices gained the best performance at high LAI values and they were less saturated. In contrast, the NDVI, NDREI and GNDI indices did not perform well and they were saturated at medium and high levels of LAI.

کلیدواژه‌ها [English]

  • Alfalfa
  • Index saturation
  • remote sensing
  • Spectral Vegetation Index

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نشریه سنجش از دور و GIS ایران
دوره 11، شماره 1 - شماره پیاپی 41
اردیبهشت 1398
صفحه 33-48

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