Land Use Development Prediction of the City of Riga (Latvia) with Land Change Modeler (LCM)
Scientific Problems of Engineering Economics of Construction and Real Estate Management, Regional and Territorial Development (ICEREE’2021): Book of Abstracts 2021
Arturo Navarro Islas, Soroush Saneimoghaddam, Jānis Zvirgzdiņš

Riga being the capital of Latvia is one of industrial, business, cultural, sports and financial centres in the Baltic States, as well as an important port city. Considering that the area of Riga is 307,2 km2 and it is the most populated city in Latvia, it is important to balance socio-economic and environmental interests. As the urbanization processes are ongoing and the significance of Riga in national and international contexts is growing, it is crucial to analyse land use development as the area of Riga is limited. Paper is aimed at predicting land use development of Riga (Latvia) for incoming years considering the development tendencies in time period from 1996 to 2021. Landsat data have been used to simplify a representation of a dynamic model according to Land Change Modeler (LCM). The model performs Markov chain process to determine the expected quantity for land allocation scenario at the specified date. IDRISI Terrset and ENVI software’s have been used for this purpose and changes reflected that the forest land cover from 1996 to 2021 has increased by about 3,85% (74,2 thousand ha). Similarly, the planted area shows 11,21% (59,6 thousand ha) growth that can be related to implementation of the agriculture fundamental reform by the Ministry of Agriculture in 2003. Additionally, the settlement area shows 4,84% (30,4 thousand ha) growth during the aforementioned period. According to this data the forecasting model has been applied to predict the upcoming years. The models show the consistency of forest area expansion that leads to above-ground biomass increase by about 0,1% m3×ha-1 for the city of Riga.


Atslēgas vārdi
Land Change Modeler (LCM), Land Forecasting, Land Use Inventory, Land Use Mapping, Markov Chain Model, Remote Sensing Landsat
Hipersaite
https://buni.rtu.lv/wp-content/uploads/sites/68/2021/09/ICEREE-abstracts_2021-sutit-web-.pdf

Navarro Islas, A., Saneimoghaddam, S., Zvirgzdiņš, J. Land Use Development Prediction of the City of Riga (Latvia) with Land Change Modeler (LCM). No: Scientific Problems of Engineering Economics of Construction and Real Estate Management, Regional and Territorial Development (ICEREE’2021): Book of Abstracts, Latvija, Riga, 30.-30. septembris, 2021. Riga: RTU Press, 2021, 14.-14.lpp. ISBN 978-9934-22-677-9.

Publikācijas valoda
English (en)
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