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Discovering Africover approach
by Antonio Di Gregorio
This section of the site is designed to provide
a deeper technical insight on the approach developed by Africover.
These pages are part of the Africover methodological approach document
which is currently in progress. This document will be available
in the download section of the web site as soon as possible.
Africover developed an integrated system designed
to provide to a broad user community the way to answer their environment
related information needs.
The Africover approach brings together:
- the necessity to produce detailed, powerful
and flexible land cover information
- the need to allow end users to extract the information they
need
- the power of Remote Sensing and GIS technologies
This goal is achieved providing both the methodology,
standards and tools to develop complex databases on environmental
resources and the tools required by different users to interact
with that complexity.
The continuity of information production and use
is assured by the seamless integration of the two phases through
consistent conceptual foundation and software modularity.
This section of the site will guide you through
the various aspects of the Africover methodology:
- thematic classification: LCCS
- cartographic standards
- interpretative process: the software
- inside MADE
- aggregations
- interpretative process: the
interpretation chain
- using the data: dedicated software
All this aspects are aimed at the production of
the Multipurpose Africover Data-base for Environmental information
(MADE).
Thematic interpretation : translating
the reality in spatial information
Thematic interpretation is a process of information
extraction: reality is generalized and captured in a spatial database.
Because of this generalization the content/amount of the information
stored in the database will be always a subset of the reality. Nevertheless
the different degrees of efficiency of this extraction process are
a basic key factor for the success of any cartographic work.
These are the main aspects influencing this process:
1. The thematic aspect (the classification/legend
adopted)
An example of the generalization process linked
with the thematic representation of reality is, for instance,
the choice of a correct classification system. If the area to
be mapped has 100 different land cover features and the classification
system used only 50 classes there is a loss (generalization) of
50% of thematic information, only due to the thematic description
of the reality.
2. The cartographic standards
An immediate example is the scale adopted for mapping. It is
obvious that the smaller the final scale will be the bigger the
cartographic generalization will be (This is more valid when a
visual or a semi-automatic interpretation is used).
3. The interpretative process
It comprises a series of elements as: type, quality, date of
remote sensing data utilized, knowledge of the study area, skill
of the photo-interpreters, type of image processing software used,
amount of field work done, the overall methodological interpretative
approach used, etc. each of them strongly influencing the final
result.
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