ESA’s Φsat-2 is a miniature Earth-observation satellite showcasing artificial intelligence’s role in processing satellite data. Despite advancements, the challenge remains in extracting meaningful information from vast datasets. Emerging foundation models and multimodal approaches offer scalable solutions, although the necessity for remote-sensing expertise and sustainability considerations persist.
RICS: landmark global standard on responsible use of AI in surveying RICS: Landmark Global Standard on Responsible Use of AI in Surveying Set to take effect on 9 March 2026, the new standard sets out mandatory requirements and best practice expectations for RICS members and regulated firms worldwide. Full Article
AI and geospatial technology: Twin engines driving sustainability in real estate
GeoBusiness Blog
Dr Yishuang Xu, Associate Professor of Real Estate at the University of Manchester, explores how artificial intelligence and geospatial technology are transforming sustainability in the built environment. With the UK real estate sector facing growing pressure to reduce carbon emissions, these technologies are emerging as powerful tools to unlock efficiencies, inform smarter planning, and future-proof buildings. From AI-driven energy optimisation to geospatial insights for resilient site selection, discover how these “twin engines” are reshaping real estate’s environmental impact.
Research by Eniola Onatayo (2025) The integration of Artificial Intelligence (AI) with remote sensing technologies presents a transformative approach to disaster monitoring and rapid response. As natural disasters become increasingly frequent and severe due to climate change, the need for effective real-time monitoring systems has never been more critical.
The increasing demand for advanced technologies in dual use scientific exploration and military operations has led to significant advancements in unmanned underwater vehicles (UUVs). These versatile systems have become indispensable for conducting a variety of maritime missions, including environmental monitoring, resource exploration and defense-related applications. (Roh et al 2025)
Integrating AI with Remote Sensing for Real-Time Disaster Monitoring and Rapid Response Research by Eniola Onatayo (2025) The integration of Artificial Intelligence (AI) with remote sensing technologies presents a transformative approach to disaster monitoring and rapid response. As natural disasters become increasingly frequent and severe due to climate change, the need for effective real-time monitoring … Continue reading “The marriage of remote sensing and AI in disaster monitoring”
Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West Java, Indonesia This study by Virtriana et al 2025 looks at changes in the demand for healthcare facilities in West Java by 2030. Healthcare facilities must be proportional to the population in a … Continue reading “Health Facility Location Analysis”
Snow avalanches pose significant risks to lives and infrastructure in mountainous regions, especially as climate change alters snowfall and temperature patterns. This review delves into the transformative role of remote sensing technologies in understanding the factors that contribute to avalanche formation. By leveraging satellite data and advanced algorithms, we can enhance avalanche risk assessment and monitoring systems. Discover how these innovations can lead to improved disaster management and quicker response times, ultimately safeguarding communities in avalanche-prone areas. Explore the potential of emerging technologies to revolutionize our approach to avalanche forecasting and risk mitigation.

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