Risk assessment mapping of waste dumping through a GIS-based certainty factor model combining remotely sensed spectral unmixing model with spatial analysis
نویسندگان
چکیده
This study proposed a risk assessment model integrating remote sensing (RS) and geographic information system (GIS) to map potential illegal waste dumping areas. Geospatial factors related to waste dumping were generated with spatial analysis to quantify the spatial relationship between waste dumping sites and other land use/cover types. The spectrally suspected waste dumping mapping with FORMOSAT-2 imagery and spectral mixture analysis was used as the real-time information and the other geospatial factor. All factors were then combined with certainty factor (CF) model to carry out the risk assessment mapping. The combination of RS and GIS approaches in the CF model demonstrates more significant improvement than the single-approach model. The contribution to area under curve (AUC) of the receiver operating characteristics (ROC) reaches 0.2539. The results can help environmental protection inspectors to decide the patrol priority and improve the efficiency of environmental protection. Key-Words: risk assessment; waste dumping; certainty factor model; remote sensing; linear spectral mixture analysis; FORMOSAT-2 imagery; spatial analysis; receiver operating characteristics
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