ادغام معیارهای چشم انداز و سنجش از دور شی گرا به منظور تعیین نوع محصول و ترتیب زمین های کشاورزی
محورهای موضوعی : آمایش سرزمینرضوان صفدری 1 , علی رضا سوفیانیان 2 , سعید پورمنافی 3
1 - دانشجوی دکتری محیط زیست، گروه محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران. *(مسوول مکاتبات)
2 - دانشیار، گروه محیط زیست، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، ایران.
3 - استادیار، گروه محیط زیست، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، ایران.
کلید واژه: قطعه بندی, سنجه های سیمای سرزمین, اصفهان, نوع کشت. ,
چکیده مقاله :
زمینه و هدف: این مطالعه به شناسایی نوع کشت و چیدمان مکانی اراضی کشاورزی در واحد هیدرولوژیک دشت سگزی در استان اصفهان، ایران پرداخته است.
روش بررسی: با توجه به تقویم رویشی و چرخه های فنولوژیکی محصولات عمده در منطقه مورد مطالعه شامل گندم، یونجه، درختان میوه و سبزیجات و همچنین اندازه اراضی کشاورزی، 3 تصویر سنجنده OLI ماهواره ی لندست در سال 2015 مورد استفاده قرار گرفت. پس از تصحیحات و پیش پردازشهای اولیه، از شاخص گیاهی NDVI و الگوریتم قطعه سازیMulti-resolution از سه معیار رنگ، مقیاس و شکل استفاده شد تا محدوده اراضی کشاورزی تعیین گردد. سپس با توسعه یک درخت تصمیم گیری بر مبنای شاخص NDVI، محصولات عمده شناسایی، نقشه سازی و صحت آنها مورد ارزیابی قرار گرفت. در ادامه از سنجه های سیمای سرزمین شامل تعداد لکه (NP)، متوسط اندازه لکه (MPS)، شاخص شکل (MSI)، نسبت محیط به مساحت (PARA) و متوسط نزدیکترین فاصله (MNN) استفاده شد تا به بررسی ساختار و چیدمان اراضی کشاورزی پرداخته شود.
یافته ها: نتایج این تحقیق نشان داد که سطح وسیعی از زمینهای کشاورزی (حدود 46 درصد) در منطقه به کشت گندم و کمتر از 8 درصد آن به کشت سبزیجات اختصاص یافته است. همچنین نتایج نشان داد که کلیه اراضی منطقه دارای شکل منظم هندسی با حداقل مقدار محیط به مساحت هستند.
بحث و نتیجه گیری: خروجی این مطالعه گویای حرکت سیمای سرزمین کشاورزی در منطقه به سمت تک کشتی است. همچنین کمبود منابع آبی در سالهای اخیر نیز یک سیمای سرزمین تکه تکه شده را تشکیل داده اند.
Background and Objective: This study has been carried out to identify the crop type and spatial pattern of agricultural lands in the Segzi Hydrological Unit in Isfahan Province, Iran.
Material and Methodology: Considering the vegetative calendar and phonological cycles of the major crops in the study area including wheat, alfalfa, fruit trees and vegetables, as well as agricultural land size, it was used for the study 3 Landsat satellite images (OLI) of the year 2015. After corrections and preliminary preprocesses were used from the NDVI and multi-resolution segmentation algorithm, taking into account three criteria of color, scale and shape, to determine the agricultural land area. Then, with the development of a decision tree based on the NDVI index, major crops were identified, mapped and evaluated for their accuracy. Then, using landscape metrics including number of patch (NP), mean patch size (MPS), Mean Shape Index (MSI), Perimeter-area ratio (PARA) and Mean Nearest Neighbor (MNN) to study the structure and agricultural arrangement.
Findings: The results of this study showed that a large area of agricultural land (about 46%) in the region is dedicated to wheat cultivation and less than 8% to vegetable cultivation. The results also showed that all lands in the region have a regular geometric shape with a minimum amount of area per area.
Discussion and Conclusion: The output of this study shows the movement of agricultural land in the region towards a monoculture. Also, the lack of water resources in recent years has formed a picture of a fragmented land.
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