Providing Agricultural Cadastral Maps Using Geographic Object based Image Analysis and GIS in Different Agricultural Lands
محل انتشار: اولین همایش علوم جغرافیایی ایران 1393
سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,261
فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICGS01_224
تاریخ نمایه سازی: 6 آذر 1393
چکیده مقاله:
Agricultural lands play an important role in the flood hazard studies as a resonator, economically, spatial planning, recovery and so on. In this regards, cadastral mapping of them is a primary requirement of organizations in local and national governments. According to geographical complexity of the study area the research was carried out over four samples of different types of agricultural lands from Gorganrood watershed. The first set of agricultural lands was located in the mountain plains with long shapes. The second were terraced farmlands with irregular shapes. The third was located in the lowlands with regular and irregular shapes and the last set were located in the mountainous plains with regular shapes but different geometry. Providing cadastral maps were performed using Geographic Object based Image Analysis (GEOBIA) and Geographic Information Systems (GIS). The results of this study indicate that quality and other properties of acquired images are very important and have a great role in object detection. However, the results were acceptable and significant, but according to accuracy and quality of the cadastral maps more research on this topic needs to be undertaken to provide final cadastral maps.
کلیدواژه ها:
نویسندگان
Masoud Minaei
Department of Geography and Regional Research, University of Vienna, Austria
Wolfgang Kainz
Department of Geography and Regional Research, University of Vienna, Austria
Seyed Ali Hosseini
Department of Geography, University of Tehran, Iran
Seyed Mohammad Hoseini
Department of Geography, University of Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :