Exploring The Correlation Between NDVI, LST, And Soil Moisture in The Context of Climate Change

Arif, Nursida
Nugraheni, Dwi Rahayu
Husna, Dzakiroh Mardliyah

International Journal for Disaster and Development Interface
Vol. 4 No. 2 (2024): October 2024

This paper analyzes the relationship between vegetation, surface temperature (LST), and soil dampness and their influence on climate change. This research uses 2022 Landsat 8 data to investigate the complex interactions between the three variables. The research results show that NDVI has a moderate correlation in dry months with LST (r=0.4085) and a frail correlation in wet months (r=0.0288), while NDVI and SMI have a weak positive correlation (R=0.02). This research found that changes in soil moisture and vegetation cover can affect land surface temperatures, affecting climate. Understanding the relationship between vegetation cover, surface temperature, and soil moisture or soil dampness is critical to predicting and mitigating the impacts of climate change.