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Abstract

Precipitation is a critical factor influencing ecosystem dynamics, as it directly affects water availability, biodiversity, and productivity across terrestrial and aquatic systems. Accurate monitoring of precipitation patterns and their variations is crucial for understanding the impact of climate change on ecosystems. Remote sensing technologies, such as satellite-based observations, provide an efficient and scalable means of tracking precipitation at regional to global scales. This study explores the application of remote sensing techniques in precipitation monitoring and their ability to track the effects of precipitation changes on ecosystems. Using data from various remote sensing platforms, the research highlights the spatial and temporal variability of precipitation and its effects on different ecosystems, including forests, wetlands, and agricultural regions. Results indicate that remote sensing can effectively detect changes in precipitation patterns, including shifts in rainfall intensity, duration, and distribution. The study also emphasizes the importance of these monitoring techniques in assessing ecosystem health, managing water resources, and informing climate adaptation strategies.