Full text: Resource and environmental monitoring

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Fig. 7. FRIMS system architecture (local, regional/national, international level) 
ment. satellite communications and multimedia networks. lt 
includes the following components (see fig. 7): 
I. Data acquisition from the total endangered catchment area by 
decentralised environmental sensor sets (hydro-meteorological 
data, water levels, dike data etc.) as well as from flooded 
areas, actual land cover changes, local ecological, agricultural, 
industrial, socio-economical aspects etc.. The data will be 
collected in local data centres (LC) by local expert groups. In 
case of inaccessible sensor locations the data will be 
transmitted to the LC's automatically by VSAT satellite 
communications. 
2. Information management together with national (NMC) 
respectively international (IMC) disaster management centres 
and data communication between LC's and MC's via 
electronic network or VSAT technology. 
3. GIS data management within the MC's. 
The NMC's will have access to map archives, satellite remote 
sensing data, airborne campaigns, data processing and GIS data 
management facilities and represent the central 
regional/nationalmanagement and decision unit (,.operational 
emergency centre") together with governmental representatives 
who are responsible for risk management (e.g. Ministry of 
Interior), regional planning (e.g. Ministry of Economy) and 
environmental development (e.g. Ministry of Ecology). 
The IMC represents the inter-governmental body for operational 
activities which are internationally agreed, together with additional 
GIS data management and links via multimedia networks to inter- 
national experts (e.g. IKSO) and data centres enabling consulta- 
tions, diagnoses and international emergency management. 
The actual data, authorised recommendations, reports, decisions 
etc. will be transmitted back to NMC's respectively LC's through 
the VSAT system. The near real-time availability of such results 
for the national and local administration will permit: 
e high efficient operational flood management (dike regimes, 
retention areas etc.) for the assessment of outlet behaviour, 
damage prevention and limitation etc. 
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
e appropriate co-ordination of joint international activities across 
borders 
e further renaturation management and regional development of 
the flooded areas 
e actual recommendations for decision making, public informa- 
tion, policy making etc. 
The GIS data management in the MC’s will deal with: 
e additional acquisition of satellite and airborne data, geophysi- 
cal, agro-meteorological, land cover data etc. including data 
processing for DTM generation, land use maps etc. 
e creation of the GIS „Oder“ data base through data integration 
into a reference system as well as the integration of this data 
base with DTM’s, simulation models, expert systems etc. 
e GIS spatial data analysis, hydrological and risk monitoring as 
well as modelling (simulation, damage assessment) the flood 
situation, model calibration and improvement by application 
of the GIS 
e generation of user relevant data products, scenarios, risk maps, 
reports, recommendations for management decisions and 
public information 
The multimedia electronic network includes data and information 
exchange facilities with international data centres and special 
organisations, model integration, expert analyses by performing 
videoconferences etc. 
The main dissemination and further application of the developed 
risk and hazard information management system will result in the: 
e Assistance in disaster prevention (prediction, warning), 
damage assessment, relief hazard monitoring and management 
in case of further natural hazards and industrial accidents 
(pipeline disasters, chemical and nuclear accidents, forest 
fires, land slides, storms, droughts, decline of infrastructure . 
etc.) 
e  Post-accident monitoring, renaturation and land use manage- 
ment in disaster catchment areas 
e Definition of relevant EO data products for the improvement 
of flood management (DTM, land cover, vegetation index etc.) 
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