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.