The Effects of Climate Change on Normalized Difference Vegetation Index (NDVI) in the Al-Hawizeh Marsh
Mohammed Waheed Hassan Al-Saadi
International Journal of Environment and Climate Change · pp. 208–217 · Published 6 Aug 2024
10.9734/ijecc/2024/v14i84343Abstract
This study aims to classify Landsat 7,8 satellite data using Normalized Difference Vegetation Index (NDVI) thresholds. Initially, visible and near infrared bands of Landsat 8 satellite were used to derive (NDVI) image. Vegetation, non-vegetation and water areas were then analyzed where thresholds for separating them are carefully determined with the aid of ground truth information of the study area. Also, The Mann-Kendall test was conducted to analyze the trend of temperature and precipitation in the study area. The results of the analysis showed a positive trend with an increase in temperature. On the contrary, a negative trend in precipitation remained constant, as it was not statistically significant. The study correlated the historical trends of climatic elements as a central factor in the degradation of swamps (vegetation cover) from 2000 to 2010 and (2015-2023). The results showed that the year 2015 witnessed an increase in the area of NDVI compared to the years studied, as the total area of vegetation cover during this year amounted to about 537.47 km2, by 79.4%. While the year 2023 was one of the worst years of the study area, as the marshes witnessed an increase in the area of dry lands at the expense of the marsh waters, as the area of these lands reached about 354.69 km2 by 52.40%. The findings of this study are that the application of the three indices is useful for evaluating land, especially NDVI in wetlands. So it is necessary to develop and integrate with other remote sensing indices.
References (11)
- 1 Feature Extraction using Normalized Difference Vegetation Index (NDVI): A Case Study of Jabalpur City [DOI]
- 2 Spatio-statistical analysis of temperature fluctuation using Mann–Kendall and Sen’s slope approach [DOI]
- 3 Measuring Land Cover Change in Seremban, Malaysia Using NDVI Index [DOI]
- 4 The effects of climate change on normalized difference vegetation index (NDVI) in the Northeast of Iran [DOI]
- 5 Modeling the behavior of Vegetation Indices in the salt dome of Korsia in North-East of Darab, Fars, Iran [DOI]
- 6 Drought Severity and Frequency Analysis Aided by Spectral and Meteorological Indices in the Kurdistan Region of Iraq [DOI]
- 7 Trend Detection in Annual Temperature and Precipitation Using Mann–Kendall Test—A Case Study to Assess Climate Change in Abu Dhabi, United Arab Emirates [DOI]
- 8 The study of NDVI fluctuation in southern Iraq(Hor Ibn Najim) using remote sensing data [DOI]
- 9 Analysis of large-scale correlations on temperatures over Iraq [DOI]
- 10 A Multi-Layer Based Assessment of Wetland Changes in the Southern Iraqi Marshlands Using Remotely Sensed Data [DOI]
- 11 Study of Land Use Changes for Marsh Region by using Landsat Images and by Calculate Normalize Difference Vegetation index (NDVI)
Cited by 0
No indexed citations yet.
Related research
- Modeling Climate Change Projections for Ferozpur Sub-catchment of Jhelum Sub-basin of Kashmir Valley — shares topic coverage
- Climate Change Impacts on Livelihood Vulnerability Assessment-Adaptation and Mitigation Options in Marine Hot Spots in Kerala, India — shares topic coverage
- Measuring Climate Change Vulnerability and its Adaptive Capacity: Policies and Planning for Bangladesh — shares topic coverage
- Life Cycle Analysis of Green Roof Implemented in a Global South Low-income Country — shares topic coverage
- An Analysis of Climate Forcings from the Central England Temperature (CET) Record — shares topic coverage
Article metrics
Real usage data collected on this platform.
2
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.