Volume 27, Issue 3 (Fall 2023)
jwss 2023, 27(3): 123-136 |
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Afshari S, Yazdian H, Rezaei A. Determining the cultivated area in the Abshar Irrigation Network Using Remote Sensing. jwss 2023; 27 (3) :123-136
URL: http://jstnar.iut.ac.ir/article-1-4313-en.html
URL: http://jstnar.iut.ac.ir/article-1-4313-en.html
Isfahan university , h.yazdian@eng.ui.ac.ir
Abstract: (1064 Views)
Awareness of the types of vegetation changes and human activities in different parts has particular importance as basic information for different planning. It is very difficult and expensive to collect information about the continuous changes in vegetation cover by conventional methods. Therefore, the use of new technologies such as remote sensing is very beneficial. The objective of the present research was to introduce the appropriate vegetation index and determine the vegetation cover of the Abshar network. NDVI, EVI, SAVI, and MSAVI vegetation indices were calculated from 2000 to 2021 every year and monthly in the Google Earth Engine system using Landsat 7 satellite images of the ETM+ sensor. Also, the SPI drought index was calculated using the precipitation statistics of Kohrang station in Excel software. The results of the comparison of four indices showed the superiority and higher performance of NDVI compared to the other three indices for detecting vegetation changes. Then, vegetation changes were calculated. The results showed that the trend of agricultural development in the Abshar network is downward and has a direct relationship with precipitation and the SPI drought index. Also, the results indicated that the SPI drought index was equal to -1.73in 2008, which showed a severe drought in the region. Comparing these results with the vegetation area showed that the vegetation area was 35721 hectares in this year and the year after the drought (2009), the vegetation area was 22950 hectares. Therefore, there was a decrease in precipitation and a sharp decrease in the SPI index in 2008, which led to a sharp decrease of 35% in the vegetation area in 2009.
Type of Study: Research |
Subject:
Ggeneral
Received: 2022/11/20 | Accepted: 2023/04/30 | Published: 2023/12/1
Received: 2022/11/20 | Accepted: 2023/04/30 | Published: 2023/12/1
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