Application of remote sensing data to environmental monitoring

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Application of remote sensing data to environmental monitoring, assessment and planning Consortium: Oikon Green

Application of remote sensing data to environmental monitoring, assessment and planning Consortium: Oikon Green Infrastructure Ltd. Josip Križan, Head of mathematical modelling group Gekom – Geophysical and ecological modelling Ltd. Ana Jurjević, Associate in mathematical modelling group ECOST-MEETING-TD 1403 -140416 -071476 Faculty Of Information Technology, Brno University Of Technology, Brno, Czech Republic, 14. 04. -16. 04. 2016.

Oikon Green Infrastructure Ltd. (2016). Daughter company of Oikon Institute for applied ecology Ltd.

Oikon Green Infrastructure Ltd. (2016). Daughter company of Oikon Institute for applied ecology Ltd. • on market since 1997 • leading national and regional environmental consultancy company • more than 800 finished projects, on national and international level, commercial and research • several spin-off companies out of Oikon (Gekom, CO 2 CUT, Geonatura, Prosilva and Oikon Green Infrastructure) Oikon Green Infrastructure: • focus on R&D and knowledge transfer between scientific achievements and industry, in the area of “green infrastructure” in its broad sense.

Oikon Green Infrastructure Ltd. (2016) - portfolio. • Environmental and Nature analysis and assessments,

Oikon Green Infrastructure Ltd. (2016) - portfolio. • Environmental and Nature analysis and assessments, inventories, monitoring and research. • Landscape architecture analysis, planning and design. • Environmental modeling (climatological, hydrological and hydrodynamical), geostatistics, spatio-temporal modeling and GIS (including analysis of data gathered by remote sensing). • Natural resource management (including spatial planning, agriculture, forestry and game management). • etc …

Oikon Green Infrastructure Ltd. (2016). Our team: • currently 17 full time employees: 5

Oikon Green Infrastructure Ltd. (2016). Our team: • currently 17 full time employees: 5 Ph. D degree, 3 on doctoral study and other with master degree, with close link to academic community. • interdisciplinary backgrounds: biology/ecology, forestry, physics/geophysics, geology, mathematics, IT, landscape architecture, civil engineering, architecture and environmental chemistry. • our staff has published several dozens of professional research papers on natural and biotechnical sciences at an international level - performing research and commercial projects

 GEKOM-Geophysical and ecological modelling Ltd. (2007. -ongoing) • Knowledge-based company • Geophysical and

GEKOM-Geophysical and ecological modelling Ltd. (2007. -ongoing) • Knowledge-based company • Geophysical and ecological modelling services • Employees are geophysicists (meteorologists, oceanographers), mathematicians (with strong IT background)

 GEKOM-Geophysical and ecological modelling Ltd. (2007. -ongoing) Geophysical and ecological modelling services Environmental

GEKOM-Geophysical and ecological modelling Ltd. (2007. -ongoing) Geophysical and ecological modelling services Environmental and nature protection Atmospheric, Hydrodynamic, Hydrological processes Renewable energy sources Renewable energy solutions Pollutants dispersion Noise assessment Biological / ecological processes Environmental Risk Assessment Spatio-temporal modelling Geostatistics GIS Data analysis Application? Natural resources management Construction and infrastructure optimization Machine learning methods Research and development Space, Territory and Transportation

 Consortium experience – remote sensing • Land use/land cover for Croatia (CORINE Land

Consortium experience – remote sensing • Land use/land cover for Croatia (CORINE Land Cover Database for Croatia), Implementation of CORINE Land Cover - CLC 2006 in the West Balkan Countries • Mapping the habitats of the Republic of Croatia - terrestrial and benthic habitats (3 -year project), including Modelling spatial distribution of the Croatian marine benthic habitats (Landsat ETM+) – 3 published articles in journals cited in Current Contents • Analysis of vegetation status (MODIS) – using NDVI, GPP (daily gross primary productivity) and NPP (annual net primary productivity). Project: Monitoring of forest ecosystem health in the area of development of Multipurpose channel Dunav-Sava and few others similar projects. • Air quality monitoring from space: mapping of PM 10 concentration for Croatian territory using MODIS data products (Aerosol Optical Depth and Cloud Fraction), modelled meteo data using neural networks within EUREKA !5460 WEBAIR-2 project (1 published article in journal cited in Current Contents) PM 10 maps MODIS AOD Modeled meteorological fields

 Possible collaboration topics (1) • Meteo/ocean remote sensing data (cloudiness, waves, wind, currents,

Possible collaboration topics (1) • Meteo/ocean remote sensing data (cloudiness, waves, wind, currents, sea level, temperature, chlorofill, etc. ) -> meteo/ocean numerical models validation, monitoring and spatial analyses of other (related) environmental variables -> services in field of marine safety, sustainable aquaculture and fisheries, marine structures development, adaptation measures to climate change (related to coastal erosion due to sea level rise, imapacts of climatic variables on marine life, etc. ). • Monitoring, modeling and mapping of air quality parameters in cities on a high spatial resolution (less than 1 km) using remote sensing data on atmospheric composition–aerosols, ozone, nitrogen, etc.

 Possible collaboration topics (2) • Application of remote sensing atmospheric data for renewable

Possible collaboration topics (2) • Application of remote sensing atmospheric data for renewable energy assessment and forecasting (solar, wind, hydro), as well as application of such data in domains like health and agriculture. • Application of remote sensing data for updating of habitat maps, allowing more reliable trend assessments of habitat areas and ranges • Monitoring of forest ecosystem health and forest carbon sink

Sample project: Mapping of habitats Spring Autumn

Sample project: Mapping of habitats Spring Autumn

Unsupervised classification (fuzzy clustering)

Unsupervised classification (fuzzy clustering)

Field checking

Field checking

UNREACHABLE (MINED) FIELD SAMPLE 5233 LOCATIONS

UNREACHABLE (MINED) FIELD SAMPLE 5233 LOCATIONS

Final product – CORINE cover

Final product – CORINE cover

Thank you! jkrizan@ozins. hr ajurjevic@gekom. hr

Thank you! jkrizan@ozins. hr ajurjevic@gekom. hr