Object structure


High Resolution Spatial Distribution and Associated Uncertainties of Greenhouse Gas Emissions from the Agricultural Sector


Raport Badawczy = Research Report ; RB/19/2017


Charkovska, Nadiya. Autor ; Horabik-Pyzel, Joanna Stanisława. Autor ; Bun, Rostyslav. Autor ; Danylo, Olha. Autor ; Nahorski, Zbigniew Tadeusz. Autor ; Jonas, Matthias. Autor ; Xiangyang, Xu. Autor


Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:


Date issued/created:



28 pages ; 21 cm ; Bibliography p. 28

Subject and Keywords:

Niepewność ; Greenhouse gases emission ; Emisja gazów cieplarnianych ; Uncertainty ; Agricultural sector ; Sektor rolnictwa ; Spatial inventory ; Inwentaryzacja przestrzenna ; Geoinformation system ; System geoinformacyjny ; High resolution (big) data ; Dane o wysokiej rozdzielczości


This study develops a geoinformation approach to a high resolution spatial inventory of GHG emissions from the agricultural sector, following the categories of the IPCC guidelines. Using the Corine Land Cover data, a digital map of emission sources is built, with elementary areal objects that are split up by administrative boundaries. Various procedures are developed for disaggregation of available emission activity data down to a level of elementary emission objects, conditional on covariate information, such as land use, observable in the elementary object scale. Among them, a statistical scaling method suitable for spatially correlated areal emission sources is applied. As an example of implementation of this approach, the spatial distribution of CH4 and N2O emissions was obtained for areal emission sources in the agriculture sector in Poland with a spatial resolution of 100 m. We calculated the specific total emissions for different types of animal and manure systems as well as the total emissions in CO2-equivalent. We demonstrated that the emission sources are located highly non-uniformly and the emissions from them vary substantially, so that average data may provide insufficient approximation. The proposed technique allows us to discuss factors driving the geographical distribution of GHG emissions for different categories of the agricultural sector. This may be particularly useful in high resolution modelling of GHGs dispersion in the atmosphere.


Raport Badawczy = Research Report

Resource Type:






Language of abstract:



Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.



Citation style: