Contents
Scope and Objectives
The basic goal of the project is to collect and process agricultural data
together with information about the natural environment so that
rational decisions can be made with regard to what areas are best
suitable for crop production. In order to meet the objectives the
system has two components, inventorying and monitoring. Additionally it
contains algorithms and models needed to process data, useful for
supporting the decision making process. An important module of the
system is an interface developed to allow access of users to basic
information in the form of thematic maps.
Standard Technology
The following computer programs are used in
constructing the project: (Arc/Info, Arc/View, MapInfo, Erdas Imagine,
Softplotter, MapSheets, Intergraph MGE).
Project Concepts
The framework for the Integrated Spatial
Information System for Agricultural Production has four main
objectives:
- creating soil maps with erosion potential
and erosion models at the district scale (IUNG),
- Agroclimate Model (IUNG),
- fluvial erosion model of all of Poland (Geosystems),
- crop forecasting (IGiK).
There is an application developed for each of the thematic groups that allows
presentation of basic and more complex GIS analyses. Each function of
the system (e.g. inventory, monitoring and forecasting) can be realized
depending on the nature of a particular problem. In the case of soils,
inventory and monitoring are the main problems while there is no
prediction function. Separate applications may be used in generating
complex analyses, which integrate data from different thematic groups.
It is assumed that the system is open for new information, as it
becomes available depending on the needs of the user.
Main components of the system are localized in institutions that
developed them:
(IUNG,
IGiK, Geosystems).
Components of the ISISAP
The main hardware components of the IISAP
include personal computers, large format scanners, plotters, and
printers. Software includes both commercially available programs and
customized models. Here are also some examples of thematic components:
- soil/agricultural complex,
- evaluation of agricultural space,
- soil characteristics,
- soil quality classes,
- soil pollution (values of five heavy metals and sulfur in soil),
- utilization of soils (i.e. crop, range, forestry),
- water erosion hazards,
- gully erosion model (1:500,000),
- fluvial erosion model,
- map database of variables in the
agroclimate model (temperature, solar radiation, precipitation, crop
suitability analysis, etc.),
- map database of crop yield prediction.
The most important component is the team
with interdisciplinary approach of combining different fields of
computer science, agriculture, climatology in building the system and
marketing and advertising in disseminating the results.
Sources of Data Input
The data for the system come from a variety
of different sources. Most of the soil data came from analog maps or
analog sources that needed to be converted to a digital format to
eliminate non-linear deformation. This was the most laborious part of
creating the databases. Another source of information was in tabular
forms that had to be linked to a geometric database in order to
evaluate the condition of the soil. Data from satellite and aerial
photographs were processed to support the model evaluating erosion,
yield-predicting etc. Finally, the last source of data came from
computer models that generated sets of parameter data. Some of the data
were available at the
IUNG
or could be accessed, downloaded as free domain data, or purchased.
Agroclimate Model
The basic data for the model are points with three co-ordinates: latitude, longitude and height above
sea level (a point cover). The points are evenly spaced over the area
of Poland in a mesh 2 by 2 km and thus constitute a simple digital
model of terrain (DTM). The values of the elements of agroclimate
(temperature, precipitation, radiation) at each point over any
arbitrary period can be computed with the aid of computer programs in
which algorithms have been implemented for performing such
calculations. The algorithms describe statistical distribution of basic
climatic features at an arbitrary point in Poland in an arbitrary
period. They link the yearly cycle of meteorological elements
(determined with the aid of harmonic analysis) with their spatial image
(as a function of geographic co-ordinates). Thus it has been made
possible to describe
mean
values of climate elements as well as their variability (
probability,
risk etc.) using a PC. The output from the model may be
also in the form of point and polygon covers of climatic elements on
the basis of which maps that present distribution of elements of
agroclimate over a given area may be created.
Dissemination of the Results
Results of the analyses and generated
data have been presented on the Internet, CD-ROM, written reports and
also at various conferences.
E-mail Addresses and Contacts at
the
IUNG
Prepared by Andrzej S. Zaliwski, translation by Stephen Alexis |
Last reviewed 27 July 2002
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