The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W12-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 447–451, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-447-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 447–451, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-447-2020

  06 Nov 2020

06 Nov 2020

CELLULAR AUTOMATA MODEL – LANDSCAPE DYNAMICS SIMULATION TOOL IN THE PROCESS OF CHANGE IN LAND USE AND COVER IN THE CITY OF GAÚCHA DO NORTE – MT

E. A. L. Pinheiro, N. A. Camini, M. R. S. Soares, and S. S. Sumida E. A. L. Pinheiro et al.
  • Graduate Program in Analysis and Modeling of Environmental Systems, Institute of Geosciences - IGC / UFMG, Av. Antonio Carlos, 6627, Pampulha - Belo Horizonte - MG - CEP 31270-901, Brazil

Keywords: LUCC, Cellular Automata Model, Protected Areas, Simulation, Scenarios

Abstract. The factors that contribute to land use change in the municipality of Gaúcha do Norte - MT, are entirely linked to the economic process and agricultural production. This process has left Brazil in a state of alert due to the process of deforestation and loss of tropical forests. From 2000 to 2010, the forest areas converted into agriculture accounted for 13.3%, the main factor that directly potentiated with deforestation was the cultivation of soybeans, which in turn was occupying places previously occupied by livestock and pushing the livestock forest inside. The phenomena of land use change and land cover start from multidimensional issues in the environmental and economic context. The use of environmental modeling through cellular automata to analyze land use change phenomena and reproduce the trajectory through future land use simulations and evolution establishes an integration associated by mathematical models and flow integration systems. That predict the trajectory of land use change, thus generating a dynamic model capable of predicting future land use changes by replicating possible patterns of landscape evolution and enabling assessments of future ecological implications for the environment.