Integration of AI and Remote Sensing in Environmental Monitoring: Techniques and Challenges

Jayalaxmi A K

Abstract: Knowing about and minimizing the negative effects of pollution, climate change, and biodiversity loss are essential for environmental monitoring. The collection, processing, and analysis of environmental data has undergone a major transformation by the incorporation of Artificial Intelligence (AI) into environmental monitoring systems. AI overcomes many of the drawbacks of conventional monitoring methods by enabling accurate disaster predicting, pollution source identification, and thorough air and water quality assessment. An overview of AI approaches used in environmental monitoring is given in this survey, covering topics like assessing the quality of the air and water, detecting land-use and deforestation, tracking wildlife, and predicting disasters. In order to demonstrate how AI improves data interpretation, forecast accuracy, and reaction tactics for sustainable environmental management, it also looks at current AI models, datasets, and the difficulties encountered in this area. Despite its increasing promise, there are a number of obstacles to the successful application of AI in environmental monitoring, including a lack of qualified AI specialists, restricted access to trustworthy datasets, and worries about data control, privacy, and governance?problems that are especially important in areas with nascent technological infrastructure. The study underlines the significance of strong data governance systems to ensure the secure and ethical use of environmental data. The future of AI-driven environmental monitoring is still bright, though, as continuous developments in AI algorithms, data collection tools, and processing power should greatly increase the precision, dependability, and effectiveness of pollution control and environmental assessment.

Keywords: Artificial Intelligence, Environmental Monitoring, Machine Learning, Deep Learning, Climate Change, Pollution Detection, Remote Sensing

How to Cite?: Jayalaxmi A K, "Integration of AI and Remote Sensing in Environmental Monitoring: Techniques and Challenges", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 682-685, https://www.ijsr.net/getabstract.php?paperid=SR251108191251, DOI: https://dx.doi.org/10.21275/SR251108191251