Rangelands vegetation cover mapping using IRS-LissIII data image processing (Case study: Sorkh Abad Basin, Mazandaran)

Message:
Abstract:
This research was conducted to produce the map of vegetation cover percentage of Sorkh Abad rangelands with an area of 21717 hectares by using IRS-Liss III data. Images of IRS-LissIII were geo-referenced by digital topographic maps with a scale of 1:25000. Due to mountainous condition, for obtaining the high accuracy at the geometric correction process, elevation corrections were done on the images. In this study, in addition to main bands, vegetation indices, ratios and principle component analysis also were used.For field data collection, systematic random sampling method was employed. In each vegetation type, one key area was selected. In each key area, four vertical and horizontal transects with 100m length were established. Then along the each transect vegetation cover percentage was estimated in ten plots of 1m2. In the next step, correlation between vegetation indices, ratios and the field data was calculated. Then the indices that had stronger correlation with field data were used for classification with higher accuracy. Among the vegetation indices, RVI (0/74%) and NDVI (0/704%) had shown the highest correlation. Based on the obtained results, we may generally conclude that IRS-LissIII images have a good capability for cover percentage mapping in the study area.
Language:
Persian
Published:
Iranian Journal of Range and Desert Research, Volume:20 Issue: 3, 2014
Page:
454
magiran.com/p1243358  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!