Effective monitoring of water quality in lakes and water sources is crucial for sustainable development. However, Traditional techniques encounter challenges such as time-consuming processes and insufficient spatial-temporal analysis. A new approach has been followed in recent years, utilizing enhanced satellite image resolution, and generating substantial remote sensing data volumes. Which offers nuanced insights into environmental conditions and contributes in water management, agriculture, and addressing climate change.
Our research focuses on the issue of water lacks in northern Egypt, which has encountered various challenges arising from both natural phenomena, such as detrimental algae that obstruct the natural flow of water, causing adverse impacts on marine life, and human activities factors such as agricultural runoff and urban stormwater contribute to diverse sources of pollution, complicating the identification of a singular contamination origin in lakes.
This study focuses on using remote sensing techniques, utilizing MISR SAT-2 satellite data along with other satellite sources, to classify the northern lakes in Egypt using different techniques, and employ various analytical techniques to measure water quality in this region and detect harmful algae. By leveraging remote sensing capabilities over large temporal and spatial scales, this research contributes to a more comprehensive understanding of water quality dynamics in the specified area.
