LINZ Data Service Update February 2017

28 February 2017

A LINZ Data Service (LDS) update on the Kaikoura earthquake, the power of LiDAR, hot tips, getting data from the LDS, airbourne gravity dataset and building outlines survey results.

The unseasonal summer weather across many parts of New Zealand hasn’t cooled the demand for data! We have now reached nearly 33,000 registered users, and so it’s a good time to remind you about the help guides we have available (see ‘Hot Tips for LDS!’ in this issue).

What are you doing with our data? We’d love to hear any stories about how you are using our data! Or give your feedback on the LDS and what you want to hear about in a future newsletter.

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Kaikoura earthquake

On 14 November 2016 Kaikoura was hit by a 7.8 magnitude earthquake. Soon after the quake LINZ worked with the NZTA and Canterbury Civil Defence to coordinate the aerial imagery that was quickly needed to identify areas of risk and to plan the recovery of infrastructure. The aerial imagery on the LDS was taken that same day and shows in amazing detail (0.2m) the devastation the area suffered.

View the Aerial Imagery Dataset

Power of LiDAR to show undersea faults

LiDAR – the 3D mapping technology created using airborne lasers – was another important dataset for recovery, and showed that the impact of the quake went beyond the land and out into the sea floor as well. LINZ worked with the Australian Defence Force to collect this data, and it will be used to plan where more sea floor mapping may be needed for updating charts. This data as well as LiDAR data for other parts of New Zealand can now be found on the LDS.

View the LiDAR Datasets

Read a story about this work on

Hot Tips for LDS!

Did you know we had guides online to help you get the most out of the LDS? To make it easy to find the information you need, we have created a list of our trouble shooting tips and guides. If there is something you would like to see that we haven’t covered– let us know, we want to help you use and integrate our data.

Read the online help guides

How should I get my data from the LDS?

Whether you are a casual user or regularly downloading LDS data, there are options for getting the data that suits your needs. Here are your choices on the LDS:

  • Web Feature Services or ‘WFS’ provides an interface for exchanging vector format geographic information. This means you don’t need to be constricted by a maximum download limit or have to wait to access and use the data. The real benefit of WFS is that users can write a script to automate a data feed from LDS. And it’s real time, so the data is up-to-the-minute.
  • Courier Service is a better option if you want a lot of layers or a dataset greater than 3.5GB. Once you have it you can keep it up to date with changesets. (There is a small delivery charge)
  • Downloads are free and the number you take is not capped. This is our most popular method of data access.

Feel free to email us for advice on using the LDS. We’re also interested in hearing how you are using the data. 

Read about Getting Started on LDS

Read more information on WFS

Read more information on Changesets

New Dataset - Airbourne Gravity Flight Lines

New Zealand’s national airbourne gravity dataset covers the three main islands of New Zealand and up to 10km offshore. It was collected between September 2013 and June 2014 in a joint project between LINZ, GNS Science and Victoria University of Wellington.

Gravity observations can be used to compute gravity anomalies: differences between measured gravity and a model of the Earth’s gravity field. These are used to investigate concealed geological structures and for geoid modelling, which informs our datum, critical to our surveying, mapping and charting.

View the three airbourne gravity datasets

Building Outlines Survey Results

Many thanks to those of you who responded to the Building Outlines Survey. We’ll use the results to understand how usefulness this data is to users. We had 45 responses and of these: 

  • 90% ‘strongly agreed’ or ‘agreed’ that the dataset was useful
  • 71% ‘strongly agreed’ or ‘agreed’ that the dataset met the needs of their organisation
  • 80% of respondents who already use building outline data have issues with their current data
  • 70% ‘strongly agreed’ or ‘agreed’ that the dataset was better than existing data

View the Building Outlines Dataset

Last Updated: 28 February 2017

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