Earth Observation

This study uses Earth Observation data and Google Earth Engine to assess agricultural drought risk across Odisha, India. Results identify western districts as highest risk and support targeted drought mitigation, planning and climate resilience actions.

New research shows the most destructive tsunami from Tonga’s 2022 Hunga eruption was triggered by caldera collapse, not an explosion. The collapse generated detectable underwater sound waves that could help provide earlier warnings of volcanic tsunamis.

A globally scalable framework combines dense-array seismic observations, rupture imaging and shaking models to estimate earthquake impacts within minutes of origin time.

A team analyzed radar data from European Space Agency’s Sentinel-1 satellites acquired between 8 January and 18 August. The last observation was only seven days before the disaster. Images revealed accelerated glacier-rock movement before the collapse.

Scientists used seismic data, satellite imagery and drone surveys to rapidly identify a massive landslide as the cause of the deadly Nepal-Tibet flood. The event highlights cascading hazards, glacier instability and the need for stronger early warning.

Southwest Research Institute (SwRI) developed a wildfire early detection system that combines real-time modelling, remote sensing and multiple datasets to help emergency officials decide when to alert at-risk communities and where to deploy resources.

Georgia Tech researchers tested how well existing outburst flood models reproduced the actual event to find the models consistently underestimated flood conditions. Even improved models struggled to accurately capture the height and timing of floodwaters.

Team from Kyoto University and Kobe University developed a method to identify wind damage and assess mitigation benefits using high-resolution drone and satellite imagery. Homes with blue tarps after a hurricane were used as a proxy for wind damage.

Satellite observations show record-breaking wildfires in Spain and burned more than 90,000 hectares in France, triggered mass evacuations and devastated communities. Researchers link the extreme fire activity to drought, heat waves and strong winds.

FireSat is designed to work alongside a growing network of cameras on the ground that use artificial intelligence to search for smoke and heat. Together, the systems could give firefighters their earliest warning yet that a fire has started.

This review addresses the need for a systematic and decision-oriented synthesis of how space-borne remote sensing has evolved toward integrated flood monitoring and disaster risk reduction frameworks.

The impacts of climate change are escalating, compounded by urban expansion into fire-prone areas. Eight cutting-edge technologies have the potential to revolutionize wildfire risk reduction strategies.

This paper reviews the current status of artificial intelligence (AI) in assessing and predicting landslides, emphasising Malaysia and Vietnam landslides.

A team at the Applied Physics Lab is working to understand the complex science behind predicting invisible threats that can quickly cripple electric grid infrastructure on Earth.

China launched a Long March 4B carrier rocket to deploy its latest oceanographic research satellite, the HY-2E, on Thursday morning, according to the China National Space Administration.

The study is about developing and applying a remote-sensing workflow based on multispectral Sentinel-2 and PlanetScope satellite imagery to detect and monitor lakes forming on active rock glaciers in the European Alps

SOLAR-1 strengthens the nation’s ability to safeguard systems that can be disrupted by space weather, including the electric grid, satellites, communications, aviation, navigation systems and human spaceflight.

Three Foresight satellites increase Earth-monitoring network developed by Abu Dhabi's Space42

A collaboration of scientists from NASA and Brazilian research institutions has produced a detailed picture of groundwater change across Brazil.

In mid-April 2026, Super Typhoon Sinlaku churned across the North Pacific Ocean and brought heavy rain and flooding to the Mariana Islands.

This research article examines how Earth observation technologies can strengthen early warning and disaster risk reduction for transport infrastructure in Tanzania.

A team of scientists published an analysis of Hektoria’s collapse based on a suite of remote-sensing data, finding that its particular geometry enabled the rapid change.

Home to some 20 million people, the Mexico City area is built atop an aquifer. Extensive groundwater pumping, combined with the weight of urban development, has resulted in the compaction of the ancient lakebed beneath the city for more than a century.

Hidden warm-water traps beneath Antarctica may be melting the continent’s ice far faster than scientists realized.

Combining carbon-14 measurements taken at the highest level of precision with historical literature lays a new foundation for studying unpredictable and hazardous solar proton events.

A key Atlantic Ocean current system that helps regulate the planet's climate could weaken more than expected by 2100, with potentially devastating consequences worldwide, a new study has found.

As climate resilience becomes a critical pillar of European policies, RSS-Hydro’s tools utilise cutting edge geospatial technology to forecast weather and impact in immersive detail.

A constellation of four new satellites has been launched for Greece, marking a world first for a national satellite capability dedicated to wildfire detection and tracking.

A study connects satellite data on vegetation condition, topography, and weather conditions to examine the predicted versus actual burn severity of the 2025 Los Angeles wildfires.

Research demonstrates the use of operational weather radar measurements to track long-range ember fallout and rapid spread of intense wildfires.

By combining high-resolution satellite data, terrain data and realistic fire simulations, USC Viterbi researchers have developed a reconstruction and prediction tool for making informed decisions when tackling catastrophic wildfires.

How well does our current satellite fleet capture the world’s major floods? Scientists turn to the Dartmouth Flood Observatory record for a data-driven answer.

AI and drones are being used to identify climate-resilient wheat varieties that balance high yields with climate stability.

This paper analyses drought severity across Mexican regions between 2000 and 2025 using satellite-based indicators of vegetation health and surface moisture.

Researchers from the University of Southampton used Landsat data to identify where water advanced or retreated from 1984 to 2022, creating the first global dataset pinpointing the exact year of permanent surface water changes.

China’s new dual‑band interplanetary scintillation telescope uses a phased‑array feed and AI calibration to deliver unprecedented sensitivity for tracking solar wind disturbances, strengthening global space‑weather monitoring and forecasting.

A new satellite, SWOT, captured detailed tsunami wave patterns after the 2025 Kamchatka quake, revealing near‑trench slip and improving scientists’ ability to model tsunami generation and strengthen coastal hazard preparedness.

A data visualization technique illustrates how an experimental NASA technology can provide extra lead time to communities in the path of a tsunami.

The technology used to predict sand and dust storm (SDS) severity has for decades systematically over-estimated when and where sediment is transported across the Earth’s surface, a new study shows.

Satellite data and AI are helping Asian countries close critical water‑data gaps, improving flood and drought planning, strengthening lake‑ecosystem monitoring, and supporting smarter, climate‑resilient water governance across the region.