Version 1
: Received: 4 August 2023 / Approved: 7 August 2023 / Online: 8 August 2023 (05:10:23 CEST)
How to cite:
Almalki, R.; Khaki, M.; Saco, P.; Rodriguez, J. The Impact of Dam Construction on Downstream Vegetation Area in Dry Areas Using Satellite Remote Sensing. Preprints2023, 2023080566. https://doi.org/10.20944/preprints202308.0566.v1
Almalki, R.; Khaki, M.; Saco, P.; Rodriguez, J. The Impact of Dam Construction on Downstream Vegetation Area in Dry Areas Using Satellite Remote Sensing. Preprints 2023, 2023080566. https://doi.org/10.20944/preprints202308.0566.v1
Almalki, R.; Khaki, M.; Saco, P.; Rodriguez, J. The Impact of Dam Construction on Downstream Vegetation Area in Dry Areas Using Satellite Remote Sensing. Preprints2023, 2023080566. https://doi.org/10.20944/preprints202308.0566.v1
APA Style
Almalki, R., Khaki, M., Saco, P., & Rodriguez, J. (2023). The Impact of Dam Construction on Downstream Vegetation Area in Dry Areas Using Satellite Remote Sensing. Preprints. https://doi.org/10.20944/preprints202308.0566.v1
Chicago/Turabian Style
Almalki, R., Patricia Saco and Jose Rodriguez. 2023 "The Impact of Dam Construction on Downstream Vegetation Area in Dry Areas Using Satellite Remote Sensing" Preprints. https://doi.org/10.20944/preprints202308.0566.v1
Abstract
The assessment of ecosystem quality and the maintenance of optimal ecosystem function requires understanding vegetation area dynamics and its relationship with climate variables. This study aims to detect vegetation area changes over a downstream dam and to understand the influence of the dam as well as climatic variables on the region’s vegetation areas. The case study is located in an arid area with an average rainfall amount of 50 to 100 mm/year. An analysis of seasonal changes in vegetation areas was conducted using the Normalized Difference Vegetation Index (NDVI), and supervised image classification was used to evaluate changes in vegetation areas using Landsat imagery. Pearson correlation and multivariate linear regression were used to assess the response of local vegetation areas to both hydrologic changes due to dam construction and climate variability. The NDVI analysis reveals a considerable vegetation decline after the dam construction in the dry season. This is primarily associated with the impoundment of the seasonal water by the dam and the increase in cropland areas due to dam irrigation. A significantly stronger correlation between vegetation changes and precipitation and temperature variations is observed before the dam construction. Furthermore, multivariant linear regression was used to evaluate the variations of equivalent water thickness (EWT), climate data, and NDVI before and after the dam construction. The results suggest that 85 percent of the variability in the mean NDVI was driven by climate variables and EWT before the dam construction. On the other hand, it was found that only 42 percent of the variations in NDVI were driven by climate variables and EWT after the dam construction for both dry and wet seasons.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
