National Tree Map data launches onto Promap Labs

A new test dataset has been released on to the Promap Labs portal; the latest inclusion is a sample dataset of Bluesky’s National Tree Map (NTM). This is a digital tree map layer that accurately depicts the location and extent of trees, including their proximity to buildings. 

Derived from Aerial Photography, Colour Infra-Red data, Digital Terrain Model and Digital Surface Model data, the sample dataset contains location and height information of individual trees, together with the area and circumference of the canopy.

Promap Labs is designed to provide land and property professionals with the ability to access and interrogate new datasets and digital mapping concepts, in order to understand their value within future Landmark products.

Carole Ankers, Product Development Director, Landmark Information Group said, “New for Promap Labs is a sample from the Bluesky National Tree Map; the sample dataset provides users with an insight into the location and size of trees on a given plot. We believe it will prove extremely popular for professionals working on site selection or within planning applications for new developments.  We encourage as many people as possible to access Promap Labs to test the NTM and provide us with feedback on how this would work for your organisation.”

The application of the NTM dataset is far-reaching; in addition to being used in land and property planning and development, there is scope for the data to be used by dendrologists, government departments such as the Forestry Commission and Housing Associations that wish to visually catalogue trees that are within their management remit.

In addition to the National Tree Map data, two additional datasets from Bluesky will be showcased on Promap Labs.  This includes Colour Infrared Imagery, which uses state-of-the-art remote sensing techniques to provide a wealth of information to assist in assessing the health, state, growth and type of vegetation. Available at a 50cm resolution it is ideal for a range of uses, including crop management, environmental monitoring or assessment of foliage health.

The other is the Normalised Difference Vegetation Index, which uses remote sensing techniques to assess the concentration and health of vegetation. This dataset delivers a range of benefits for those undertaking forest mapping, monitoring or management, in addition to vegetation health analysis, land cover classification or assessment of soil moisture.