Change Detection of Vegetation Cover by Ndvi Technique Using Geographic Information Systems (Gis) and Remote Sensing Technology in the Agricultural Region of Al_Wafra, Southern Part of Kuwait | ||||
| International Journal of Advanced Humanities Research | ||||
| Volume 3, Issue 2, December 2023, Page 1-16 PDF (1.57 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijahr.2023.221333.1018 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Intessar Shalaan 
| ||||
| Ain shams University, Egypt | ||||
| Abstract | ||||
| This study aims to calculate the change detection method used NDVI in vegetation cover of agricultural crops in the Al-Wafra agricultural area using the main index, NDVI - Normalized Difference Vegetation Index. This index was used to measure the area of vegetation cover for field and protected agricultural crops grown under normal sunlight, in addition to measuring the soil-adjusted vegetation index (SAVI) and the transformed difference vegetation index (TNDVI). Al-Wafra agricultural area, located in the southern part of Kuwait, occupies approximately 32,755 hectares. The study used the NDVI index as the main indicator to measure the difference in agricultural land area between 1990 and 2020. The NDVI values (-1:1) in the study area over the 30-year period did not exceed 0.6. The TNDVI index reached 1.25 in 2020, while the SAVI index reached 0.7 in 2020. The annual growth rate of agricultural land area increased to about 7% annually between 1990 and 2020, but the rate varied between agricultural periods. The agricultural land area also varied across the 11 agricultural sectors of the Al-Wafra agricultural area. | ||||
| Keywords | ||||
| NDVI; TNDVI; SAVI; Remote Sensing; and Growth Coefficients | ||||
|
Statistics Article View: 109 PDF Download: 99 |
||||
