MultiOne
MultiOne Services
MultiOne Services

environmental modeling, software and data engineering and data science

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As a small team with over 20 years of combined experience we continue to provide our clients with the ultimate service in the field of ecological modeling, application of mathematical and numerical methods in data analytics, software development and database architecture.

MultiOne is a member of Cooperative Zadruga Granum Salis for research, planning and design in sustainable environmental management.

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services

DATA ANALYTICS

Efficient practical application of statistical methods, including machine learning, on real-world problems, with an emphasis on environmental and satellite data / application of geoinformatics / application of multivariate statistics

GIS

Expert utilisation of the open source GIS ecosystem, in the implementation of innovative solutions for geospatial problems

ECOLOGICAL - ENVIRONMENTAL MODELING

Using 3D numerical models and development of modeling solutions in geophysics, hydrology, ecology, geomatics, among other fields

WEB APPLICATION DEVELOPMENT

Design and development of user-facing solutions for specific client needs, on a wide array of platforms

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projects and references

Upravljanje sustavom suzbijanja komaraca

Digital soil map of Croatia for agro-ecological zoning (STARS RAS project), 2020. - 2021.

CLIENT: The World Bank Group

ROLE: Modeling and prediction of soil properties in 30m resolution across Croatia with the use of machine learning

Poslovi inventarizacije šuma

Development of a forest management web application for private owners (WAVE-ŠŠ), 2017. – 2018.

CLIENT: Croatian Agricultural and Forestry Advisory Service

ROLE: Database architecture and reporting, web development

Stanje i opis ekosustava Motovunske šume

iSDAsoil (Predictive Soil Mapping for Africa in 30m resolution), 2019. - 2020.

CLIENT: EnvirometriX Ltd.

ROLE: Continental-scale mosaicking of Sentinel-2 imagery across Africa in 30m resolution; thematic data aggregation; accuracy assessment and quality control of the PSM method

Analiza prostornih mogućnosti Sisačko-moslavačke županije

Geo-harmonizer: EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning, 2019. - 2022.

FUNDING: 2018 CEF Telecom Call – Public Open Data (CEF-TC-2018-5)

ROLE: FOSS GIS development; continental-scale Sentinel-2 imagery mosaicking; development of novel predictive land cover maping methods