ارائه مدل‌‌های مناسب برای برآورد زی‌توده برخی درختان سوزنی‌برگ و پهن‌برگ با استفاده از تصاویر ماهواره‌ای Quickbird در جنگل‌کاری‌های مجتمع فولاد مبارکه اصفهان

نوع مقاله : علمی- پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد جنگلداری، گروه علوم جنگل، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد

2 استادیار، گروه علوم جنگل، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد

3 دانشجوی دکتری جنگلداری، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد

4 کارشناسی ارشد جنگلداری، گروه علوم جنگل، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد

چکیده

اندازه‌گیری مستقیم زی‌توده بسیار مشکل، پر‌هزینه، زمان‌بر و ازجمله روش‌های تخریبی به‌دلیل قطع درختان است. هدف پژوهش پیش‌رو برآورد زی‌توده درختان در چهار گونه شامل کاج تهران (Pinus eldarica)، سرو نقره‌ای (Cupressus arizonica)، اقاقیا (Robinia pseudoacacia) و توت (Morus alba) با استفاده از روش‌های مختلف سنجش از دوری براساس داده‌های ماهواره QuickBird در جنگل‌کاری منطقه صنعتی فولاد مبارکه اصفهان بوده است. با استفاده از سه روش شامل شاخص‌های گیاهی، روش تجزیه‌وتحلیل بافت به‌همراه شاخص‌های گیاهی و تجزیه مؤلفه اصلی (PCA)، اطلاعات مورد نیاز از تصویر ماهواره‌ای استخراج شد. سپس با استفاده از مقدار زی‌توده اندازه‌گیری‌شده زمینی و اطلاعات استخراج شده از روش‌های سنجش از دوری، محاسبات همبستگی در محل نمونه‌ها انجام شد و رابطه‌های برآورد زی‌توده برمبنای هر روش و برای هر گونه ارائه شد. روش‌های شاخص‌های گیاهی (DVI و NDVI) برای برآورد زی‌توده سوزنی‌برگان و روش‌های تجزیه‌وتحلیل بافت و تجزیه مؤلفه اصلی برای برآورد زی‌توده پهن‌برگان، نتایج معنی‌داری را نشان دادند. با توجه به مدل رگرسیونی ارائه‌شده برای هر گونه، مقدار زی‌توده برآورد و مقدار مجذور میانگین مربعات خطا به‌ترتیب برای کاج تهران، سرو نقره‌ای، اقاقیا و توت برابر با 53، 20، 30 و 50 بود. همچنین مقدار اریبی برای چهار گونه موردمطالعه به‌ترتیب برابر 30، 10، 30- و 44 به‌دست آمد. مقادیر مجذور میانگین مربعات خطا و اریبی به‌دست‌آمده کارایی روش‌های اجراشده در برآورد زی‌توده را نشان می‌دهد.

کلیدواژه‌ها

عنوان مقاله [English]

Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company

نویسندگان [English]

  • Seyyedeh Zahra Hosseini 1
  • Mojghan Abbasi 2
  • Siavash Bakhtiarvand 3
  • Mohammad Salehi 4
1 M.Sc. Student, Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, Iran
2 Assistant prof., Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, Iran
3 Ph.D. Student, Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, Iran
4 M.Sc. Forestry, Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, Iran
چکیده [English]

Direct measurement of aboveground biomass of trees is considered as one of the labor-intensive, expensive, time consuming and destructive tasks. The objective of this study was to estimate the biomass of four coniferous and deciduous trees species (Pinus eldarica, Cupressus arizonica, Robinia pseudoacacia and Morus alba) by means of high resolution Quickbird remotely-sensed data of over a plantation are established around the industrial domain of Isfahan’s Mobarakeh Steel Company. To this aim, three approaches based on vegetation indices, texture analysis and Principal Component Analysis (PCA) were applied to extract required information from satellite imagery. The correlation analysis between field-assessed biomass and the image-based information and regression models were built. The results using vegetation indices (DVI and NDVI) for coniferous species as well as athose from texture analysis and PCA for deciduous species showed significant corelations. As depicted by the species-specific regression of biomass revealed the amount of RMSE ​​ for P. eldarica, C. arizonica, R. pseudoacacia and M. alba to be 53, 20, 30 and 50, respectively. Moreover, species-specific biases for P. eldarica, C. arizonica, R. pseudoacacia and M. alba was shown to be 30, 10, -30 and 44 respectively. The results of this study supports the use of the applied Quickbird data for  model-based estimation of aboveground biomass across the study site.

کلیدواژه‌ها [English]

  • satellite image
  • plantation
  • biomass
  • Mobarakeh Steel Company
  • Quickbird

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تحقیقات جنگل و صنوبر ایران
دوره 23، شماره 1 - شماره پیاپی 1
فروردین 1394
صفحه 143-153

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