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    • Journal of Rangeland Science
    • Volume 6, Issue 1
    • مشاهده مورد
    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • Journal of Rangeland Science
    • Volume 6, Issue 1
    • مشاهده مورد
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    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
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    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

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