• ورود به سامانه
      مشاهده مورد 
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • Journal of Rangeland Science
      • Volume 6, Issue 1
      • مشاهده مورد
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • Journal of Rangeland Science
      • Volume 6, Issue 1
      • مشاهده مورد
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Assessment of Drought Severity Using Vegetation Temperature Condition Index (VTCI) and Terra/MODIS Satellite Data in Rangelands of Markazi Province, Iran

      (ندگان)پدیدآور
      Damavandi, Ali AkbarRahimi, MohammadYazdani, Mohammad RezaNoroozi, Ali Akbar
      Thumbnail
      دریافت مدرک مشاهده
      FullText
      اندازه فایل: 
      644.5کیلوبایت
      نوع فايل (MIME): 
      PDF
      نوع مدرک
      Text
      Research and Full Length Article
      زبان مدرک
      English
      نمایش کامل رکورد
      چکیده
      The drought caused a series of effects on many sectors of economy, especially natural resources. During two last decades, Iran has suffered from several severe to extreme agricultural droughts which caused significant decreases in rangeland and agriculture yields. This paper discusses the detection of agricultural drought severity over the rangelands of Markazi Province between 2000 and 2014 using remotely sensed data. Vegetation Temperature Condition Index (VTCI) is a near-real time drought assessment and monitoring approach which have been developed using Terra-MODIS normalized difference vegetation index (NDVI) and Land Surface Temperature (LST) products. VTCI is defined as the ratio of LST differences among pixels with a specific NDVI value in a sufficiently large study area. VTCI has capability of drought stress classification which therein lower VTCI is for drought and higher one for wet conditions. The ground-measured precipitation data from the synoptic stations of Markazi Province are used to validate the VTCI drought monitoring approach (11 stations). For this objective, after the calculation of Standardized Precipitation Index ) SPI) with different periods and VTCI month of July during 2000 to 2014 (warm and cold edges from NDVI and LST scatter gram extracted), linear regression analysis between VTCI (15 maps) and SPI 1, 3,6,9,12,18 months were surveyed and finally, the best map was extracted. Based on the statistical analysis, higher correlations were found for July 2006 (R2 =0.73 for warm edge and R2=0.86 for cold edge) and the best linear correlation was created for SPI-18 month in July. Results showed that within VTCI classified map, moderate and low drought classes constituted most area of studied region. Also, the results showed that VTCI is closely related not only to recent rainfall events but also to past rainfall amount (18 month) indicating that VTCI is a better and near-real time drought monitoring approach for rangelands.
      کلید واژگان
      drought
      Rangelands
      VTCI
      Remote Sensing
      MODIS

      شماره نشریه
      1
      تاریخ نشر
      2016-01-01
      1394-10-11
      ناشر
      IA University, Borujerd Branch
      سازمان پدید آورنده
      ITVHE Academic Member, Ph.D. Student in Combat Desertification, Semnan University, Iran
      Assistant Prof. Semnan university,Semnan,Iran
      Assistant Prof. Semnan university, Semnan,Iran
      Assistant Prof .soil conservation and Watershed management research Institute, Tehran.Iran

      شاپا
      2008-9996
      2423-642X
      URI
      http://www.rangeland.ir/article_520583.html
      https://iranjournals.nlai.ir/handle/123456789/56586

      مرور

      همه جای سامانهپایگاه‌ها و مجموعه‌ها بر اساس تاریخ انتشارپدیدآورانعناوینموضوع‌‌هااین مجموعه بر اساس تاریخ انتشارپدیدآورانعناوینموضوع‌‌ها

      حساب من

      ورود به سامانهثبت نام

      تازه ترین ها

      تازه ترین مدارک
      © کليه حقوق اين سامانه برای سازمان اسناد و کتابخانه ملی ایران محفوظ است
      تماس با ما | ارسال بازخورد
      قدرت یافته توسطسیناوب