Environmental Intelligence Platform –
Monitoring Nutrients Pollution with Earth
Observation Data for Sustainable Agriculture and
Clean Waters
Blue Waters and Green Agriculture
Romanian Challenges and Perspectives in Nutrient Pollution Control
`10-13 May 2017
Context
Strengthening institutional and regulatory capacity:
• Unified integration of data from direct and indirect measurements (in-situ
measurements, evaluation through remote sensing techniques and results of
mathematical modelling of physical phenomena considered);
• Structured and integrated overview of reporting to European directives:
• Water Framework Directive;
• Nitrates Directive;
• Tool for monitoring the progress achieved by implementing measures at regional
and local level;
• Decision support system for management of nutrients pollution.
Public awareness and information support.
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Potential Solutions
Implementation of an innovative and interactive web platform:
Environmental Intelligence – Monitoring and controlling nutrients pollution
using
• Near real time data integration
• Satellite data;
• In-situ measurements;
• Knowledge integration
• Process modelling (Mathematical models);
• Reporting
• Thematic maps.
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Environmental Intelligence Platform
Fundamental tool for the implementation of the environmental policies:
• Organise the archives of the Ministry of Water and Forests, index
the resources and develop online catalogues with all past and
current projects;
• Mapping and monitoring services for: infrastructure, illegal
exploitation of water/forests resources, illegal constructions,
protected areas, protected species, wetlands, vegetation status,
etc.;
• Support the implementation of European directives for the
environment protection (water quality, biodiversity, etc.);
• Tools for advanced search, analysis and processing of data
from various sources.
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Environmental Intelligence Platform - Earth Observation data
Earth Observation data together with GIS techniques can offer
substantial advantages:
• constant monitoring (1 image / 5-6 days);
• fine level of detail;
• a large range of multispectral information;
• reduced costs;
• standard products (e.g. landcover, wetlands area, urban
expansion, vegetation indices);
• accurate measurements;
• tailoring and customisation of final products.
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Vegetation status assessment
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Vegetation status assessment
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Land cover dynamics
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Environmental Intelligence Platform
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Environmental Intelligence Platform
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Monitoring System
Diffuse sources:
• Extract information from LANDSAT 8/SENTINEL 2 satellite data about
agricultural fields natural and chemical fertilisers used (computational
methods of potential nutrients dispersion, soils erosion and sediment
transport);
• Analyse reports for the main economic agents on the level of usage of
fertilisers and assess the usage per administrative territorial unit (method of
fertiliser purchased/budget reported as used/implemented crop - excess/
deficit-synthesis);
• In-situ monitoring (for validating the usage level).
Point sources:
• Integration of the industrial operators reports.
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Analysis and Control System
Mathematical modeling of:
• Dispersion processes;
• Retention processes.
Using mathematical models to illustrate
the potential of dispersion of the
nutrients coming from agriculture.
Modelling for river basins processes to
identify zones of nutrients
accumulation and concentration.
Identification of risk areas for sources
of surface and underground water.
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Environmental Impact Analysis
Assessment of the effects on the scale of
space and time:
• Emphasising the cumulative effects and
environmental impact.
Testing the effectiveness of measures to
combat pollution with nutrients:
• Testing the effects of implemented forest
curtains;
• Testing the effects of potential forest curtains;
• Testing measures of stimulating the
alternative use of animal manure to produce
bio-fuels (pellets or biogas) and their effect on
local administrative territorial unit (regulate
the relation producer/vendor).
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Reporting at National and European Level
Identification and
quantification of reporting
requirements.
Organisation of the data
structure so as to allow the
reporting of specific indicators.
Automating the computation
processes and generation of
aggregated indicators.
Generate specific reports.
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Advantages
Making a complex monitoring at national level of the sources:
• Point;
• Diffuse.
Verification and validation of the nutrient level of usage (deficit/
excess) in agriculture.
Reporting on the effects of measures implemented locally (e.g.
forest curtains, composting platforms, pelletising of animal manure,
biogas generation handling etc.).
Optimisation of the resources used and the time of reaction
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Thank you for
your attention!
www.terrasigna.com
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