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Table of Contents
Supervisor's Foreword ; Preface; Acknowledgements; Contents; List of Figures; List of Tables; Chapter-1; Introduction to the Current State of Satellite Precipitation Products; 1.1 The Importance of Precipitation in Water Resources; 1.2 Precipitation Observation; 1.3 Satellite-based Precipitation Estimation; 1.4 Research Motivation; 1.5 Objectives of this Dissertation; 1.6 Dissertation Outline; References; Chapter-2; False Alarm in Satellite Precipitation Data; References; Chapter-3; Satellite Observations; 3.1 MODIS; 3.2 CloudSat; References; Chapter-4
Reducing False Rain in Satellite Precipitation Products Using Cloudsat Cloud Classification Maps and Modis Multi-spectral Images4.1 The Role of Multi-spectral Data in Satellite Precipitation Algorithms; 4.2 Satellite Data; 4.3 Methodology; 4.4 Classification; 4.5 Training Data Set; 4.6 Application of the Model on Precipitation Events; 4.7 Results and Discussions; References; Chapter-5; Integration of CloudSat Precipitation Profile in Reduction of False Rain; 5.1 Classification; 5.2 Satellite Observations; 5.3 Training Data Set; 5.4 Application of the Model on Precipitation Events
5.5 Results and Discussions5.6 Case Study; 5.7 Conclusion; References; Chapter-6; Cloud Classification and its Application in Reducing False Rain; 6.1 Introduction; 6.2 MODIS Cloud Mask; 6.3 Image Classification Using Self Organizing Maps; 6.4 Data Pre-processing; 6.5 Training and Validation Datasets, Summer Season; 6.6 Training and Validation Datasets, the Winter Season; 6.7 SOFM Model for Summer Season; 6.8 Validation of Cloud Classification Model, Summertime; 6.9 SOFM Model for the Winter Season; 6.10 Validation of Cloud Classification Model, the Winter Season; 6.11 Conclusion; References
Chapter-7Summary and Conclusions; 7.1 Future Work
Reducing False Rain in Satellite Precipitation Products Using Cloudsat Cloud Classification Maps and Modis Multi-spectral Images4.1 The Role of Multi-spectral Data in Satellite Precipitation Algorithms; 4.2 Satellite Data; 4.3 Methodology; 4.4 Classification; 4.5 Training Data Set; 4.6 Application of the Model on Precipitation Events; 4.7 Results and Discussions; References; Chapter-5; Integration of CloudSat Precipitation Profile in Reduction of False Rain; 5.1 Classification; 5.2 Satellite Observations; 5.3 Training Data Set; 5.4 Application of the Model on Precipitation Events
5.5 Results and Discussions5.6 Case Study; 5.7 Conclusion; References; Chapter-6; Cloud Classification and its Application in Reducing False Rain; 6.1 Introduction; 6.2 MODIS Cloud Mask; 6.3 Image Classification Using Self Organizing Maps; 6.4 Data Pre-processing; 6.5 Training and Validation Datasets, Summer Season; 6.6 Training and Validation Datasets, the Winter Season; 6.7 SOFM Model for Summer Season; 6.8 Validation of Cloud Classification Model, Summertime; 6.9 SOFM Model for the Winter Season; 6.10 Validation of Cloud Classification Model, the Winter Season; 6.11 Conclusion; References
Chapter-7Summary and Conclusions; 7.1 Future Work