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کاربرد تصاویر ماهواره‌ای چند زمانه در بهبود دقت مدل‌های پیشیابی فنولوژی ذرت | ||
| تحقیقات آب و خاک ایران | ||
| مقاله 2، دوره 48، شماره 1، اردیبهشت 1396، صفحه 11-24 اصل مقاله (471 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2017.61337 | ||
| نویسندگان | ||
| مهدی قمقامی1؛ نوذر قهرمان* 2؛ خلیل قربانی3؛ پرویز ایران نژاد4 | ||
| 1دانشگاه تهران | ||
| 2گروه مهندسی ابیاری-دانشگاه تهران | ||
| 3دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
| 4موسسه ژئوفیزیک دانشگاه تهران | ||
| چکیده | ||
| متداولترین شیوه پیشیابی مراحل فنولوژیکی گیاهان، استفاده از کمیت درجه-روز رشد تجمعی (AGDD) میباشد. در تحقیق حاضر، مدلی برای تدقیق این روش با تلفیق دو نمایه AGDD و NDVI برای تخمین تاریخ شروع 8 مرحله فنولوژیکی گیاه ذرت رقم K407، با استفاده از دادههای یک دوره 9 ساله در منطقه کرج ارائه شده است. روش هموارسازی نوفهها در کاربست نمایه NDVI، ترکیبی از دو روش لجستیک دوگانه و رگرسیون وزنی (WLS-DL) می باشد. نتایج مدل تلفیقی با دو مدل مبتنی بر درجه-روز رشد و تاریخ کاشت مقایسه شد. یافتههای پژوهش نشان داد، مدل تلفیقی به طور متوسط، مقدار RMSE تاریخهای شروع 7 مرحله ابتدایی فنولوژیکی (ظهور تا شیری شدن) را به ترتیب 7/1، 4/1، 8/0، 3/1، 4/2، 4/2 و 3/3 روز نسبت به مدل مبتنی بر تاریخهای کاشت و 9/2، 7/1، 4/1، 9/2، 6/4، 9/2، 6/3 روز نسبت به مدل درجه- روز رشد، کمتر برآورد می نماید. | ||
| کلیدواژه‌ها | ||
| نمایه‌پوشش‌گیاهی؛ لجستیک‌دوگانه؛ رگرسیون‌وزنی؛ فنولوژی؛ ذرت | ||
| عنوان مقاله [English] | ||
| Application of multi temporal satellite images for improvement of maize phenology models prediction | ||
| نویسندگان [English] | ||
| Mahdi Ghamghami1؛ Nozar Ghahreman2؛ khalil Ghorbani3؛ Parviz Irannejad4 | ||
| چکیده [English] | ||
| Crop phonological stages are commonly predicted by using accumulated growth degree days(AGDD).In this study a combined model of AGDD and remotely sensed NDVI has been developed for prediction of maize (cv. K407) phenology in Karaj using a nine year (2002 to 2010) dataset. For smoothing the existing noises of image processing, a combination of double logistic and weighing average (DL-WLS) approaches was employed. The results of combined phenology model were compared by two frequently used methods based on AGDD and date of sowing. The findings showed that in general, the developed model predicted the first 7 phenological stages of emergence to milky, more accurately comparing to other approaches (with average 2 and 2.5 days difference with observed dates, respectively) but was inaccurate for maturity stage. Our study highlights the need for further improvements in observations in the region. | ||
| کلیدواژه‌ها [English] | ||
| NDVI, Double logistic, weighing regression, Phenology, maize | ||
| مراجع | ||
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