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.
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