Evaluation of wheat canopy cover using NDVI in large areas of Iran

Document Type : Note


1 Fars Agricultural and Natural Resources Research and Education Center, Shiraz, I. R. Iran

2 Department of Irrigation and Drainage, Shahid Chamran University of Ahvaz, Ahwaz, I. R. Iran

3 Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK, USA

4 Azad University of Arsanjan, Arsanjan, I. R. Iran



To studies a suggested method for estimating fractional green canopy cover (FGCC or CC) from normalized difference vegetation index (NDVI) in Iran, a research project was carried out on four wheat farms in the large-scale region, in Fars and Khuzestan provinces during four growing seasons from 2015 to 2019. Two different image classification methods were used to provide the CCs of farms. In both methods, R2s were greater than 0.95 and NRMSEs were less than 0.15. A simple regression equation was constructed between CC and NDVI of 64 Landsat 8-Oli images with high accuracy from 2015 to 2018. The R2s of CC-NDVI equations were 0.84, 0.85, 0.88, 0.80 and 0.76 in Dezful, Omidieh, Darab, Zarghan and all sites together. The simple regression equation was used to simulate CC in 2018-2019 for validating the equation and had a good agreement with the measurements, especially in using the general equation of all sites. The p-values of the four equations were less than 0.03. As a suggested method, the CC-NDVI equation can be used to predict CC from NDVI as a low-cost and less time-consuming method in the study area to use in crop growth studies, crop growth models and crop growth management. 


Article Title [Persian]

تخمین پوشش تاجی گندم با کاربرد NDVI در مناطق وسیع ایران

Authors [Persian]

  • محمدهادی جرعه نوش 1
  • سعید برومندنسب 2
  • صالح تقواییان 3
  • مجتبی پاک پرور 1
  • آنا شعربافی 4
1 مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی فارس، شیراز، ج. ا. ایران
2 دانشگاه شهید چمران اهواز، اهواز، ج. ا. ایران
3 دانشگاه ایالتی اوکلاهما، امریکا
4 دانشگاه آزاد ارسنجان، ارسنجان، ج. ا. ایران
Abstract [Persian]

به منظور مطالعه یک روش پیشنهادی برای تخمین پوشش تاجی از NDVI ، یک طرح تحقیقاتی در چهار مزرعه بزرگ مقیاس در جنوب ایران، در استان های فارس و خوزستان در چهار فصل زراعی از سال 1395 تا سال 1398 انجام شد. دو روش طبقه بندی تصاویر برای تحلیل تصاویر جهت برآورد پوشش تاجی بکار رفت. در هر دو روش، مقادیر R2  بزرگتر از 0/95 و مقادیر NRMSE کوچکتر از 0/15بود. یک مدل ساده همبستگی خطی بین CC و NDVI حاصل از 64 تصویر لندست 8، از سال 1395 تا 1398 بنا شد که دقت قابل قبولی داشت ( مقادیر R2 در سایت های دزفول، امیدیه، داراب، زرقان و کل مناطق با هم به ترتیب برابر 0/84، 0/85، 0/88، 0/80 و0/76 بود). با کاربرد این مدل ساده، مقادیر CC در سال زراعی 1399-1398 برآورد شد که خصوصا در کاربرد معادله کل مناطق، به مقادیر اندازه گیری شده نزدیک بود. مقدار p آماری در معادله های چهار مزرعه، کمتر از 0/03 بود. نکته کلیدی، کاربرد مدل عمومی در مناطق وسیع بود. به عنوان یک روش پیشنهادی، معادله بین پوشش تاجی و NDVI می تواند به عنوان یک روش کم هزینه با صرف زمان کم، برای مطالعات رشد گیاهی، مدل های رشد گیاهی و مدیریت رشد گیاه، در مناطق مورد مطالعه بکار رود.

Keywords [Persian]

  • پوشش تاجی
  • شاخص NDVI
  • رشد گیاه
  • لندست 8
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