Volume 26, Issue 3 (Fall 2022)                   jwss 2022, 26(3): 281-302 | Back to browse issues page

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Babajafari H, Paimozd S, Moghaddasi M, Hosseini Vardanjani M. Assessment Monitoring Spatio-Temporal of Drought Lake Urmia Basin using ETDI Remote Sensing Index and SPI Ground Index. jwss 2022; 26 (3) :281-302
URL: http://jstnar.iut.ac.ir/article-1-4227-en.html
Arak University , BaBajafari69@gmail.com
Abstract:   (1064 Views)
Drought is one of the most complex natural disasters due to its slow onset and long-term impact. Today, the use of remote sensing techniques and satellite imagery has been considered a useful tool for monitoring agricultural drought. The objective of the present study was to evaluate spatial and temporal monitoring of agricultural drought in the lake Urmia catchment area with the ETDI drought index which is calculated from Nova satellite images based on actual evapotranspiration from the SEBS algorithm and compared with the ground index SPI. For this purpose, 248 AVHRR sensor images and NOAA satellites during the statistical period of 1998-2000 and 17 meteorological stations with a statistical period of 30 years were used to calculate the indicators. To determine agricultural lands, six thousand points were marked for different uses and their actual evapotranspiration was calculated using the SEBS algorithm. The results showed that with the onset of the drought period in 1998, the ETDI index indicated 9.4% in weak drought conditions in May and 90.6% in normal conditions. Over time, in June of 1998, the situation was different with 95% in a weak drought situation and 5% in a normal situation for the city of Tabriz. In July, the entire catchment area experiences a slight drought. Then, in August, 84% of the basin is in normal condition and 16% in Tabriz and Urmia are declared weak drought. It was also founded that the ETDI drought index due to the combination of visible and infrared bands and its combination with terrestrial data has a physical meaning and has high certainty and predicts drought faster and more accurately.
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Type of Study: Research | Subject: Ggeneral
Received: 2021/11/12 | Accepted: 2022/02/27 | Published: 2022/12/1

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