Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran

Geoderma

Volumn 344, Issue , 2019, Pages 50-62

  Rasaei, Zahra ^a   Bogaert, Patrick ^b  

^a SHAHREKORD UNIVERSITY   (Iran)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Digital soil mapping (DSM); Naive Bayes rule; Saturation percentage (SP) filtered kriging

Indexed keywords

BEAMFORMING; DATA FUSION; DECISION TREES; FORECASTING; INTERPOLATION; MAPPING; REMOTE SENSING; SOIL SURVEYS;

BAYESIAN DATA FUSIONS; DIGITAL ELEVATION MODEL; DIGITAL SOIL MAPPINGS; KRIGING; NAIVE BAYES RULE; PREDICTION TECHNIQUES; PREDICTIVE PERFORMANCE; REMOTELY SENSED DATA;

SOILS;

ALGORITHM; BAYESIAN ANALYSIS; DATA SET; IMAGE RESOLUTION; KRIGING; LANDSAT; MAPPING METHOD; REMOTE SENSING; SATELLITE DATA; SOIL PROPERTY; SOIL SURVEY;

IRAN;

EID: 85062447254     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2019.02.031     Document Type: Article

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