greenhouse gas emission

Accurate geospatial modeling of greenhouse gas (GHG) emissions is an essential part of the future of global GHG monitoring systems.  Our previous work found a systematic displacement in the high-resolution carbon dioxide (CO2) emission raster data of the Open-source Data Inventory for Anthropogenic CO2 (ODIAC) emission product.  It turns out this displacement is due to geolocation bias in the Defense Meteorological Satellite Program (DMSP) nighttime lights (NTL) data products, which are used as a spatial emission proxy for estimating non-point source emissions distributions in ODIAC.  Mitig

The mathematical models for spatial analysis of GHG emission processes from pulp, paper, food products and beverages have been developed. Using geoinformation technology the estimates of GHG emissions in Poland at the level of production plants, as well as at the level of elementary areas 2 km  2 km in size have been obtained.

Mathematical models for the spatial analysis of the processes of greenhouse gases emission from the mining and transformation of coal in Poland were elaborated. The digital maps of mines’s and coking’s places were created. GIS technology, which makes it possible to form a geo-distributed database was improved and the necessary calculations were done.  The obtained assessment of greenhouse gas emissions was represented by the digital thematic map.