Land parcel

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11 08, 2020

Monitoring Land Cover Changes at the Bushland-Urban Interface: An Image Analysis Approach

August 11th, 2020|AI, Australia, Bushfire, Climate Change, Cloud Computing, Earth Observation, Emergency, Exposure, Geocoding, Geospatial Big Data Analytics, Image Analysis, Land parcel, Location Intelligence, Property Information, Risk, Sentinel-2|

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 [...]

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 [...]

23 08, 2016

BigData Earth Releases Geocoding DoubleCheck – A Unique Location Accuracy Assessment Tool for the U.S. Parcel-level Geocoding

August 23rd, 2016|Geocoding, Image Analysis, Land parcel, Property Information, USA|

23 August 2016: Geocoding location accuracy is fundamental to the exploration of location-centric business intelligence and important for applications such as asset management and risk analysis. Currently very few assessment tools on this exist. Without the confidence on the location accuracy, subsequent analytics and results would be seriously compromised. BigData Earth is pleased to release a new product called Geocoding [...]