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gives enormous flexibility for the development
of complex environmental analysis and other
complex data modelling application areas.
8. ENVIRONMENTAL APPLICATIONS
AND AN INTEGRATED GIS
The integrated GIS described in the previous
section is currently in use in three UK
Department of Trade and Industry (DTI)
funded pilot projects. These are currently
running in National Environmental Research
- Council (NERC) institutes and are designed to
test the capabilities of the initial system, to
give Laser-Scan feedback on the suitability of
the system for NERC research and to ensure
that the IGIS will evolve to meet the wider
needs of the environmental science community.
Each project focuses upon problems which
require maximum integration of remotely
sensed and more traditional GIS data types.
The diversity of the projects indicates the
flexibility required of an integrated GIS:
e BNSC (Remote Sensing Application
Development Unit, RSADU) are
investigating applications for the use of
SAR data. Because of the speckle inherent
in SAR images, radar backscatter
parameters must be derived from a number
of pixels rather than from one pixel
location. This neighbourhood is usually of
irregular shape outlining a relatively
homogeneous area. This shape may be
defined by a separate segmentation of the
image or by a vector dataset digitised from
published maps and updated by interactive
editing. The data used comprises both a
spatial dataset (the vector polygon
boundaries) and non-spatial attribute data
(for example, tree species, planting date and
girth). The intimate connection between
vector and raster datasets, such that there is
a capability to update the spatial and non-
spatial vector attributes directly from the
remotely sensed imagery, is the key
requirement of this project, with great
389
potential for data collection for
environmental management tasks, (Hinton
and Baker, 1994).
The Institute of Terrestrial Ecology (ITE),
Monks Wood (Environmental Information
Centre, EIC) are assessing the applicability
of the IGIS for existing and planned GIS
projects using the DTI funded Landcover
map of Great Britain within ITE.
Specifically, they are developing new
analytical methods for future research
projects such as the DoE Key Habitats
project and the ITE Countryside Survey,
both of which require land cover
information as an integral part of their
database. A particular area of interest is in
the analysis of pattern in landscape from the
raster and vector datasets of landcover. For
example, the spatial distribution of
woodlands as compared with soils, altitude
and climate across the whole of Great
Britain, and the distribution and the mean
separation of woodlands in different size
ranges across Great Britain. Work is
concentrated on the development of pattern
analyses within the IGIS that concentrate on
the particular advantages of the system,
employing the strengths of vector analysis
for region definition and the ability of the
system to combine raster and vector data.
The third pilot project is being run by
British Antarctic Survey, Cambridge, to
exercise the capabilities of the IGIS to
manipulate altimeter data from various
sensors and to integrate data from other
sources in order to generate a high quality
Digital Elevation Model (DEM) of
Alexander Island and Palmer Island in the
Antarctic peninsula. The project will
contribute to British Antarctic Survey's
ability to produce accurate maps for
environmentally sensitive areas where
remote sensing provides the only available
data.