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استخراج شاخص سطح برگ ذرت علوفهای با استفاده از روش عکسبرداری رقومی نیمکروی (مطالعه موردی: مزارع قلعه‌نو، جنوب تهران) | ||
| تحقیقات آب و خاک ایران | ||
| مقاله 1، دوره 51، شماره 6، شهریور 1399، صفحه 1331-1340 اصل مقاله (1.5 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2020.296569.668483 | ||
| نویسندگان | ||
| الهه اکبری1؛ علی درویشی بلورانی* 2؛ نجمه نیسانی سامانی3؛ سعید حمزه3؛ سعید صوفی زاده4؛ استفانو پیگناتی5 | ||
| 1دانشجوی دکتری سنجش از دور، گروه سنجش از دور و GIS، دانشکده جغرافیا، دانشگاه تهران، تهران، ایران | ||
| 2گروه سنجش از دور و GIS، دانشگاه تهران، تهران ، ایران | ||
| 3دانشیار گروه سنجش از دور و GIS، دانشکده جغرافیا، دانشگاه تهران، تهران، ایران. | ||
| 4استادیار گروه آگرواکولوژی، موسسه تحقیقاتی علوم محیطی، دانشگاه شهید بهشتی، تهران، ایران | ||
| 5موسسه روش‌شناسی برای تحلیل‌های محیطی (CNR IMAA)، C.da S.Loja snc, 85050 Tito (Potenza)، ایتالیا | ||
| چکیده | ||
| هدف این تحقیق، ارزیابی کارآیی روش عکسبرداری رقومی نیمکروی (DHP) در برآورد LAI در مزارع ذرت علوفهای جنوب تهران است. بدین منظور با در نظر گرفتن ماهیت تغییرپذیری مکانی-زمانی در مزارع کشاورزی و در طول یک فصل رشد، عکسبرداری DHP و نیز اندازهگیری به روش تخریبی به منظور مقایسه، برای برآورد LAI در مزارع ذرت علوفهای شهرستان قلعه‌نو واقع در جنوب تهران، در سال 1397 انجام گردید. نتایج نشان داد که مقادیر LAI استخراج شده از طریق DHP در دورههای مختلف رشد گیاه، ارتباط خطی قوی با مقادیر اندازهگیری شده به روش تخریبی دارد (R2 = 0.92، RMSE= 0.45 و Bias = 0.31). هر چند، بازه LAI میانی (میزان LAI: 5< - 2) با میزان RMSE = 0.63 و Bias = 0.49، نسبت به دو بازه LAI | ||
| کلیدواژه‌ها | ||
| شاخص سطح برگ؛ عکسبرداری رقومی نیمکروی؛ ضریب میرایی؛ ذرت علوفهای | ||
| عنوان مقاله [English] | ||
| Deriving the Leaf Area Index of Silage Maize Using Digital Hemispherical Photography Method (Case Study: Qaleh-Now Farms, South of Tehran) | ||
| نویسندگان [English] | ||
| Elahe Akbari1؛ ali darvishi Boloorani2؛ Najmeh Neysani Samany3؛ Saeid Hamzeh3؛ Saeid Soufizadeh4؛ Stefano Pignatti5 | ||
| 1PhD student of Remote sensing, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran. | ||
| 2Associate professor, Department of Remote sensing and GIS, Faculty of Geography, University of Tehran, Tehran, IRAN. | ||
| 3Associate professor, Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran | ||
| 4Assistant professor, Department of Agro-ecology, Environmental Sciences Research Institute, Shahid Beheshti University, G.C, Tehran, Iran | ||
| 5Institute of Methodologies for Environmental Analysis (CNR IMAA), C.da S.Loja snc, 85050 Tito (Potenza), Italy | ||
| چکیده [English] | ||
| The present study aimed to evaluate the efficiency of digital hemispherical photography (DHP) in deriving LAI in silage maize farms in the south of Tehran. For this purpose, the DHP as well as destructive measurements for comparison were used to estimate LAI in silage maize farms in Qaleh-Now County in the south of Tehran in 2018 considering the nature of spatio-temporal variability in agricultural fields during a growing season. The results showed LAI obtained through DHP at different periods of plant growth has a strong linear correlation with the values measured by the destructive method (R2 = 0.92, RMSE = 0.45 and Bias = 0.31). However, the intermediate LAI range (LAI: 2 - | ||
| کلیدواژه‌ها [English] | ||
| Leaf Area Index, Digital Hemispherical Photography, Extinction coefficient, Silage maize | ||
| مراجع | ||
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