Identify infected regions ommatissus lybicus using remote sensing the city of Bam

  • سال انتشار: 1395
  • محل انتشار: اولین کنفرانس ملی یافته های نوین زیست شناسی
  • کد COI اختصاصی: BIOC01_326
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 618
دانلود فایل این مقاله

نویسندگان

Zahra Khalili

Student, University of Medical Sciences Bam

Majid Aghassi

Assistant Professor, Engineering Environmental Health, Kerman university of medical science

Zohre khalili

MSC Student Human Ecology, Kerman university of medical science

Reza khalili

MSC ,remote sensing,remote sensing, Graduate University of Advanced Technology Industrial

چکیده

Ommatissus lybicus important pests in Iran. In addition to a variety of palm trees, insects are attacking. So that mosquitoes winged cicada damage to the trunk and sucked the sap of the leaves and chlorophyll sweet viscidity secretion of excreta it. Pest of trees with leaves gradually dried up, shriveled fruits, pale and honey are low.The purpose of this research is to identify infected regions ommatissus lybicus using remote sensing techniques to reduce the environmental damage caused by multiple spraying. In this regard, using satellite images Landsat 8, 2015, and using vegetation indices NDVI (Normalized Difference Vegetation Index) derived from the spectral spectral bands of the satellite correction atmosphere of the imagery was carried out and NDVI of each image was obtained. Based on the visual interpretation of Landsat satellite images and statistical series and NDVI most infected regions to the north and north eastern ommatissus lybicus of the city. So that Western and south central parts of the southern city of Bam, in order of severity of the contamination is reduced. The results indicate that identifying infected regions in order to reduce costs related to workforce reduction of environmental damage caused .by multiple spraying

کلیدواژه ها

Ommatissus lybics, remote sensing, Bam

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.