The document discusses integrating remote sensing, spatial analysis, and a certainty factor (CF) model for waste dumping risk assessment. Spatial factors like distance to dikes, rivers, idle lands etc. were used. FORMOSAT-2 imagery and hybrid classification were used to map suspected dumping areas. A CF model was used to combine the factors and generate a risk map. Validating with 45 dumping cases showed 75.56% prediction in high risk areas. The approach provides a reliable risk assessment to help environmental inspectors focus patrols.

1. Integrating Remote Sensing, Spatial Analysis And Certainty Factor Model For Waste Dumping Risk Assessment Yi-Shiang Shiu a , Meng-Lung Lin b , Yi-Chieh Chen c , Shien-Ta Fan c , Chao-Hsiung Huang c , Tzu-How Chu a a Department of Geography, National Taiwan University, Taiwan b Department of Tourism, Aletheia University, Taiwan c Spatial Information Research Center, College of Science, National Taiwan University, Taiwan IEEE IGARSS 2011 VANCOUVER, CANADA

2. Outline 1. Introduction 2. Materials and Methods 3. Results and Discussion 4. Conclusions

4. 1. Introduction Construction waste dumping Mixed construction and industrial waste dumping Industrial and household waste dumping

8. Outline 1. Introduction 2. Materials and Methods 3. Results and Discussion 4. Conclusions

13. 2. Materials and Methods

18. Outline 1. Introduction 2. Materials and Methods 3. Results and Discussion 4. Conclusions

19. Dike Rivers Residential /commercial areas Idle lands Factories Roads Sea

20. Suspected waste dumping area mapped with FORMOSAT-2 imagery and hybrid classification.

22. 3. Results and Discussion Waste dumping risk map generated with CF model.

24. Outline 1. Introduction 2. Materials and Methods 3. Results and Discussion 4. Conclusions

26. Thank you for your attention!!