Volume 27, Issue 2 (Summer 2023)
jwss 2023, 27(2): 105-117 |
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Jafari H. Comparison of Plant Water Stress Index (CWSI) and Water Deficit Index (WDI) in Wheat Using Remote Sensing (RS). jwss 2023; 27 (2) :105-117
URL: http://jstnar.iut.ac.ir/article-1-4285-en.html
URL: http://jstnar.iut.ac.ir/article-1-4285-en.html
Agricultural Education and Extension Research Organization, Karaj , jafari52_h@yahoo.com
Abstract: (1889 Views)
The ability of remote sensing (RS) in irrigation scheduling has been accepted in the world due to the collection of data on a large scale and the determination of water stress indicators with greater speed and less cost. Crop Water Stress Index (CWSI) and Water Deficit Index (WDI) are components of the most recognized water stress indices. Despite the accuracy and precision of the CWSI index that has been proven in plant irrigation scheduling, the lack of complete density of vegetation, especially in the early stages of growth, is one of the most important defects of using this method in crop irrigation scheduling. While estimating the water deficit index using remote sensing technology does not have these limitations. An experiment was performed in the crop year 98-99 in the city of Karaj to check the accuracy of this index. The amount of WDI and CWSI in a wheat field with optimized irrigation management was determined and compared and evaluated using statistical parameters. The results showed that the coefficient of explanation between these two indicators in the months of April, May, and June is 0.77, 0.85, and 0.71, respectively.
Keywords: Vegetation temperature, Normalized difference vegetation index (NDVI), Saturation vapor pressure deficit
Type of Study: Research |
Subject:
Ggeneral
Received: 2022/07/15 | Accepted: 2023/01/11 | Published: 2023/09/1
Received: 2022/07/15 | Accepted: 2023/01/11 | Published: 2023/09/1
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