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An open web-based GIS service for biomass data in Finland.

Authors :
Lehtonen, Eeva
Anttila, Perttu
Hakala, Kaija
Luostarinen, Sari
Lehtoranta, Suvi
Merilehto, Kirsi
Lehtinen, Harri
Mäntylä, Virpi
Maharjan, Anil
Niemeläinen, Oiva
Kolehmainen, Mikko
Source :
Environmental Modelling & Software. May2024, Vol. 176, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Reliable, up-to-date biomass data are needed for climate change mitigation and resource efficiency. Therefore, a calculation and reporting tool with thematic maps and data was developed. A free web-tool, Biomass Atlas, collects the spatial distribution of biomasses in Finland. Over 300 data layers present land use, cultivation, residual biomasses from forest, crop production, animal husbandry, municipalities, and industry at 1 km2 spatial resolution. The service enables calculations of biomass amount in a defined geographical area of interest and examining the opportunities and restrictions to utilise biomasses. The service was evaluated with six test-users in laboratory tests and 20 voluntary pilot test-users. Biomass Atlas shows the regional potential of biomaterials, fertilizer products, and renewable energy, as well as potential targets for utilized, recyclable biomass. Other possible uses include monitoring plant cover on fields and assessing land use diversity. Application enables users with no experience in GIS or biomass assessments to analyse biomass resources, produce maps and data summaries for decision making. [Display omitted] • Biomass Atlas is a spatially explicit web application to assess the biomass data. • Amounts and location of produced and recyclable biomass in Finland. • Forests, agricultural areas, crops and sidestreams on thematic maps. • Biomass modelling and calculation tools are given at 1 km2 spatial resolution. • Data for decision making on biomass utilisation for biomaterials, nutrients, and energy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13648152
Volume :
176
Database :
Academic Search Index
Journal :
Environmental Modelling & Software
Publication Type :
Academic Journal
Accession number :
176631623
Full Text :
https://doi.org/10.1016/j.envsoft.2024.105972