Tag Archives: national forest inventory

2295–2305 L.L. Krumsteds, J. Ivanovs, J. Jansons and A. Lazdins
Development of Latvian land use and land use change matrix using geospatial data of National forest inventory
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Development of Latvian land use and land use change matrix using geospatial data of National forest inventory

L.L. Krumsteds*, J. Ivanovs, J. Jansons and A. Lazdins

Latvian State Forest Research Institute "Silava", Riga street 111, LV-2169 Salaspils, Latvia
*Correspondence: linards.krumsteds@silava.lv

Abstract:

Land use and land use change calculation matrix is one of the most important parts of the national greenhouse gas (GHG) inventory in land use, land use change and forestry (LULUCF) sector providing information of an overall summary and changes in land use at a national level over a specified period of time. Information on land use and land use changes are further used to calculate other parameters important for determination of GHG emissions and carbon stock changes in living and dead biomass, soil and litter, as well as basic information on the impact of applied climate change mitigation measures. Calculations of land use change can be carried out in a partly automated process using GIS tools, which makes calculations easier to perform, reduces time consumption for this task and occasional mistakes due to manual operations. The aim of this study is to improve the methodology for development of land use and land use change matrix in the national GHG inventory system using geospatial data of National forest inventory (NFI) and auxiliary data sources. The developed system uses geospatial NFI data and auxiliary information provided by the land parcel information system (LPIS) and stand-wise forest inventory, and it improves accuracy and consistency of the land use and land use change matrix, providing the ability to apply the same land use accounting method for the whole reporting period since 1990 without a significant increase of uncertainty. The developed method determines land use changes in a 5-year period by comparing three successive NFI cycles. To determine the actual land use category in a particular year, we adjusted weights for different land use categories. Interpolation is used to determine year-by-year transitions.

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