Volume 23, Issue 4 (Special Issue of Flood and Soil Erosion, Winter 2019)                   JWSS 2019, 23(4): 273-285 | Back to browse issues page

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Hadian F, Jafari R, Bashari H, Tarkesh M. Seasonal Evaluation of Soil Moisture Changes in Isfahan Province Using Temperature Vegetation Dryness Index (TVDI). JWSS. 2019; 23 (4) :273-285
URL: http://jstnar.iut.ac.ir/article-1-3783-en.html
1. Department of Rangeland and Watershed Management, Faculty of Natural Resources, Isfahan University of Technology, Isfahan, Iran. , hadian.fatemeh@gmail.com
Abstract:   (593 Views)
Soil moisture is one of the most important factors that can affect productivity in ecosystems in arid and semiarid regions. The aim of this study was to investigate soil moisture and vegetation changes in the Isfahan province at the seasonal scale. For this purpose, MODIS Land Surface Temperature (LST) and NDVI data were used to calculate the TVDI index, and the rate of soil moisture content was also measured at several soil depths including 5, 10, 20, 30 cm. in the growing season. Seasonal changes of LST and NDVI indices were also studied in different climate regions ranging from humid to hyperarid. The results showed that the changes in NDVI and LST in this region were different, depending on the climate type and soil conditions; the LST and its changes mostly depended on the amount of vegetation cover NDVI changes based on the plant phenology in humid regions, which was were greater than that in arid and semi-arid climates. Soil moisture monitoring indicated that the relationships between TDVI and different soil depths varied based on the seasonal conditions. In the early growing season, the soil moisture at the depth of 0-5 cm had a higher correlation with TVDI, but in the middle of growing season, the deeper soil moisture (10-30 cm) showed the highest correlation. Therefore, the findings of this research indicated the importance of the growing season, soil conditions and vegetation percentage and types in the soil moisture studies by using satellite data.
Full-Text [PDF 1239 kb]   (72 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2018/10/7 | Accepted: 2018/12/19

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