Flood

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11 08, 2020

Building-level Geocoding for Regional Flood Risk Analysis: A Case Study in Ipswich, Queensland

August 11th, 2020|AI, Australia, Cloud Computing, Earth Observation, Exposure, Flood, Geocoding, Geospatial Big Data Analytics, Image Analysis, Land parcel, Location Intelligence, Property Information, Risk|

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 [...]

29 07, 2020

Mapping the Coastal Settlement in Wamberal, NSW: Two Approaches

July 29th, 2020|AI, Australia, Cloud Computing, Earth Observation, Elevation, Exposure, Flood, Geocoding, Geospatial Big Data Analytics, Image Analysis, Land parcel, Location Intelligence, Property Information, Risk|

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 [...]

21 07, 2020

Creating Building Footprints and Terrain Features for Web and Desktop Mapping: With Examples from the NSW Coast

July 21st, 2020|AI, Australia, Cloud Computing, Earth Observation, Elevation, Exposure, Flood, Geocoding, Geospatial Big Data Analytics, Image Analysis, Land parcel, Location Intelligence, Property Information, Risk|

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 [...]

1 07, 2020

Building-level Geocoding of G-NAF (Address Database) for Improved Flood & Bushfire Risk Analysis in Australia

July 1st, 2020|AI, Bushfire, Cloud Computing, Earth Observation, Exposure, Flood, Geocoding, Geospatial Big Data Analytics, Image Analysis, Land parcel, Location Intelligence, Property Information, Risk|

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 [...]

11 03, 2020

Top 10 Blogs of the Past Two Years from BigData Earth

March 11th, 2020|APIs, Apps, Australia, Bushfire, Cloud Computing, Emergency, Exposure, Flood, Geospatial Big Data Analytics, Insurance, Location Intelligence, Property Information, Risk, Tropical Cyclone, USA|

11 March 2020 Exactly four years ago, we started blogging what we have been exploring and creating in geospatial big data analytics, cloud computing, property location metrics, hazard and risk modelling, etc. So far, more than 50 blogs have been produced. Here we select and share top 10 blogs from the [...]

9 12, 2019

New Tile Maps on Terrain and Hydrology: Part 3 (Increasing Details)

December 9th, 2019|APIs, Apps, Australia, Emergency, Exposure, Flood, Geospatial Big Data Analytics, Insurance, Location Intelligence, Property Information, Risk|

9 December 2019 LiDAR point clouds can represent 3D features very accurately, but due to their large data sizes, point clouds are commonly turned into easy-to-use DEMs at various spatial resolutions (e.g. 1m, 5m or 10m). Such DEMs are increasingly available via government web portals. The vertical accuracy of 1m-resolution Lidar-derived [...]

9 12, 2019

New Tile Maps on Terrain and Hydrology: Part 2 (Extending Coverage)

December 9th, 2019|APIs, Apps, Australia, Emergency, Exposure, Flood, Geospatial Big Data Analytics, Insurance, Location Intelligence, Property Information, Risk|

9 December 2019 Many of us work with elevation data (e.g. LiDAR point clouds and Digital Elevation Models - DEMs) on a daily basis. Nowadays there are an increasing number of government sources for open elevation data, including high-quality, LiDAR-derived DEMs. As we have recently introduced (link to the previous blog), elevation [...]

18 09, 2019

New Tile Maps on Terrain and Hydrology: Part 1 (Enriching Google Maps)

September 18th, 2019|APIs, Apps, Australia, Emergency, Exposure, Flood, Geospatial Big Data Analytics, Insurance, Location Intelligence, Property Information, Risk|

18 September 2019 Google Maps is very popular and easy to use, and many of us would have imagined creating and delivering domain-specific mapping layers in the same or similar way Google Maps does. To realise this, we have recently created and released a set of new, high-resolution tiled web maps (or [...]

12 08, 2019

New R&D in Property Location and Hazard Risk Analytics: A Transformative Journey from Desktop Computing to Cloud Computing

August 12th, 2019|APIs, Apps, Asia, Australia, Emergency, Exposure, Flood, Geospatial Big Data Analytics, Insurance, Location Intelligence, Property Information, Risk, USA|

12 August 2019 Over the past four years we have been undertaking significant new R&D in property location and hazard risk analytics with cloud computing. In particular, we have developed an organic set of products based on three new technologies (Web APIs, Web Apps and Web Maps) to support two cloud-based [...]

18 06, 2019

Applications of New National Contour Web Maps: Part 3 (Identifying Riverine Flood-prone Areas)

June 18th, 2019|APIs, Apps, Australia, Emergency, Exposure, Flood, Geospatial Big Data Analytics, Insurance, Location Intelligence, Property Information, Risk|

18 June 2019 We keep showcasing the potential application of new high-resolution contour web maps for Australia that have been recently developed (link). Previous blogs in this series include: Applications of New National Contour Web Maps: Part 2 (Identifying Low-lying Coastal Areas) - link Applications of New National Contour Web Maps: [...]