Acknowledgements: This project is made possible thanks to the availability of Himawari-8 satellite imagery from the Japan Meteorological Agency (JMA, link) and its open access provided by AWS (link). >> Access new bushfire mapping app website Mapping bushfires using Earth observation (EO) imagery has been a very active [...]
The new generation of geostationary meteorological satellites, such as Himawari-8 from the Japan Meteorological Agency (JMA, link), offer much improved capabilities of monitoring large-scale weather events in the atmosphere and phenomena on the Earth's surface. Himawari-8 sensors (Advanced Himawari Imagers - AHIs) are equipped with 16 spectral bands: 3 visible bands at 0.5 [...]
It has been well observed, modelled and reported that bushfire risk is on the rise under a rapidly warming climate. Earth observation, remote sensing and image analysis are among the most important technologies to manage bushfires nowadays - from disaster prevention to preparedness, from hotspots detection to movement monitoring, from response to recovery, [...]
One of our recent blogs discussed the importance of building-level geocoding for flood risk analysis (link). If an exposure is wrongly or insufficiently geocoded, corresponding flood risk could be very different. In some extreme cases, the risk could be more than an order of magnitude different. Figure 1 shows a comparison of parcel-level [...]
Quite a few coastal properties in Wamberal (NSW) are at risk of constant coastal erosion. This is again heightened by the threat from two Australian East Coast Lows affecting the NSW coast in recent few weeks. Two independent approaches, together with high-resolution public data sources, can be used to map the coastal settlement. [...]
High-resolution digital imagery (satellite, aerial or drone-based) and high-resolution elevation data (typically derived from LiDAR point clouds) are increasingly used in local and regional environmental studies. But it is still challenging to extract high-resolution feature attributes (e.g. building footprints from imagery and terrain metrics from digital elevation models) for deeper geospatial analysis and [...]
It is well known that exposure location is a major source of uncertainties in either site-level or aggregate risk analysis. Back in 2016, we released a product called Geocoding DoubleCheck (link) to address the location accuracy of parcel-level geocoding. Then we compared the difference between parcel-level and building-level geocoding (Figure 1), and stressed [...]
Artificial Intelligence (AI) methods or techniques have been actively explored and used for a long time, but the last decade has seen a surge of very successful and profound applications thanks to the rapid advances in deep convolutional neural networks, the availability of large and high-quality data sources, easy access to high-performance computing [...]