Sensing success: £2 million in contracts awarded to fund remote sensing technologies

Sensing success: £2 million in contracts awarded to fund remote sensing technologies Four innovative organisations have been awarded funding to develop cutting edge remote sensing innovations for defence, security and nuclear decommissioning applications. The Defence and Security Accelerator (DASA), and Nuclear Decommissioning Authority (NDA) are pleased to announce that four innovators have been awarded a share of £2 million … Continue reading “Sensing success: £2 million in contracts awarded to fund remote sensing technologies”

Axelspace to Launch Seven Next-Generation Earth Observation Microsatellites “GRUS-3” in 2026

Axelspace to Launch Seven Next-Generation Earth Observation Microsatellites “GRUS-3” in 2026 “GRUS-3α” on Track for Launch this Summer for Performance Validation Axelspace Corporation (“Axelspace”), which designs, manufactures and operates microsatellites, and conducts business to promote a society where space is accessible to people around the world, today announced plans to launch seven next-generation Earth observation … Continue reading “Axelspace to Launch Seven Next-Generation Earth Observation Microsatellites “GRUS-3” in 2026”

PML Article: Step change for PML’s remote sensing capabilities with new, cutting-edge drone technology

A new PML-led project, funded through the NERC: Natural Environment Research Council Net Zero Aerial Capability (NZArC) programme, aims to revolutionise how underwater environments are mapped, particularly shallow waters like river sections and coastal areas with low turbidity.

Titled ‘A remotely piloted aerial Green LiDAR for mapping bathymetry of shallow waters and elevation of boundary land (Green LiDAR)’, the project involves collaborations with British Geological Survey, National Oceanography Centre, Scottish Association For Marine Science and the UK Centre for Ecology & Hydrology (UKCEH), using state-of-the-art aerial equipment to provide underwater mapping (bathymetry) data where other sensors struggle or simply fail to provide solutions.

Aser Mata Torollo, Project Leader and Earth Observation Scientist at PML, commented:

“Mapping of shallow waters is especially vital for studying blue carbon habitats such as mangroves, seagrasses, and tidal marshes as these are some of the most efficient natural carbon sinks on Earth. These habitats store and sequester carbon at rates far exceeding tropical forests but mapping their underwater terrain and estimating carbon storage has been a major challenge”.

While bathymetry of the seabed or rivers can be obtained using other boat and instruments such as multibeam echosounders, these sensors cannot be deployed in very shallow waters. To help deliver mapping of ecologically and economically-important underwater environments that are hard-to-reach, the project has allowed for an innovative RIEGL UK Ltd VQ-840-GL Topo-Bathymetric LiDAR sensor to be obtained along with a dedicated third-party drone platform.

Planet and Anthropic Partner to Use Claude’s Advanced AI Capabilities to Turn Geospatial Satellite Imagery into Actionable Insights

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.

Autonomous mission-oriented unmanned underwater vehicle control using directional policy optimization

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)

The marriage of remote sensing and AI in disaster monitoring

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”

Health Facility Location Analysis

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”

Satellites and Machine Learning Techniques

Discover how cutting-edge machine learning techniques are transforming our understanding of land use and cover changes in District Vehari, Pakistan. This study delves into satellite imagery from 1990 to 2025, revealing striking trends such as urban expansion and agricultural intensification. By employing advanced algorithms like Random Forest and Convolutional Neural Networks, researchers have unlocked valuable insights that can guide urban planning and environmental conservation. Join us as we explore the powerful intersection of technology and environmental science, and learn how these findings can shape the future of land management in the region. Read more to uncover the details!

Remote Sensing and Snow Avalanches

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.