Identifying a land use change cellular automaton by Bayesian data assimilation

Environmental Modelling and Software

Volumn 53, Issue , 2014, Pages 121-136

  Verstegen, Judith A ^a   Karssenberg, Derek ^b   van der Hilst, Floor ^a   Faaij, André P C ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Calibration; Cellular automata; Data assimilation; Land use change; Model structure; Particle filter

Indexed keywords

BAYESIAN DATA ASSIMILATIONS; CALIBRATION AND VALIDATIONS; DATA ASSIMILATION; LAND-USE CHANGE; OBSERVATIONAL DATA; PARTICLE FILTER; REMOTE SENSING IMAGES; ROOT MEAN SQUARE ERRORS;

BAYESIAN NETWORKS; CALIBRATION; CELLULAR AUTOMATA; IMAGE RECONSTRUCTION; LAND USE; MEAN SQUARE ERROR; MODEL STRUCTURES; MONTE CARLO METHODS; SUGAR CANE;

DATA PROCESSING;

BAYESIAN ANALYSIS; CALIBRATION; CELLULAR AUTOMATON; CROP PRODUCTION; CULTIVATION; DATA ASSIMILATION; DECISION MAKING; ENVIRONMENTAL MODELING; LAND USE CHANGE; MODEL VALIDATION; MONTE CARLO ANALYSIS; PARAMETERIZATION; PARTICLE MOTION; SUGAR CANE;

BRAZIL; SAO PAULO [BRAZIL];

EID: 84890839906     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.11.009     Document Type: Article

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