251
11
Multispectral Satellite
Data for Flood
Monitoring and
Inundation Mapping
Sadiq Ibrahim Khan, Yang Hong, and Jiahu Wang
11.1 INTRODUCTION
Floods are the most recurring and devastating natural hazards that impact human
lives and cause severe economic loss throughout the world. With the onset of climate
change, the varying intensity, duration, and frequency of floods will likely threaten
many more regions of the world (McCarthy 2001; Jonkman 2005). Consequently,
the current trend and future scenarios of flood risks demand accurate spatial and
temporal simulations to predict the potential flood hazards. Techniques utilizing
satellite remote sensing data to detect floods and monitor their spatiotemporal
CONTENTS
11.1 Introduction .................................................................................................. 251
11.2 Methodology ................................................................................................. 253
11.2.1 Satellite-Based Flood Inundation Mapping ..................................... 253
11.2.2 Hydrologic Modeling ........................................................................ 254
11.2.2.1 Model Calibration and Validation ..................................... 255
11.2.2.2 Flood Prediction Module ................................................... 255
11.3 East Africa Case Study ................................................................................. 256
11.3.1 Study Area and Data Preparation ..................................................... 256
11.3.2 Satellite Remote Sensing Data ......................................................... 258
11.3.3 Data for the Hydrologic Model ......................................................... 258
11.4 Results and Discussion ................................................................................. 259
11.4.1 Hydrologic Model Calibration .......................................................... 259
11.4.2 Evaluation of Event 1 ........................................................................260
11.4.3 Evaluation of Event 2 ........................................................................260
11.4.4 Evaluation of Event 3 ........................................................................ 262
11.5 Conclusions ................................................................................................... 263
References .............................................................................................................. 265
11
Multispectral Satellite
Data for Flood
Monitoring and
Inundation Mapping
Sadiq Ibrahim Khan, Yang Hong, and Jiahu Wang
11.1 INTRODUCTION
Floods are the most recurring and devastating natural hazards that impact human
lives and cause severe economic loss throughout the world. With the onset of climate
change, the varying intensity, duration, and frequency of floods will likely threaten
many more regions of the world (McCarthy 2001; Jonkman 2005). Consequently,
the current trend and future scenarios of flood risks demand accurate spatial and
temporal simulations to predict the potential flood hazards. Techniques utilizing
satellite remote sensing data to detect floods and monitor their spatiotemporal
CONTENTS
11.1 Introduction .................................................................................................. 251
11.2 Methodology ................................................................................................. 253
11.2.1 Satellite-Based Flood Inundation Mapping ..................................... 253
11.2.2 Hydrologic Modeling ........................................................................ 254
11.2.2.1 Model Calibration and Validation ..................................... 255
11.2.2.2 Flood Prediction Module ................................................... 255
11.3 East Africa Case Study ................................................................................. 256
11.3.1 Study Area and Data Preparation ..................................................... 256
11.3.2 Satellite Remote Sensing Data ......................................................... 258
11.3.3 Data for the Hydrologic Model ......................................................... 258
11.4 Results and Discussion ................................................................................. 259
11.4.1 Hydrologic Model Calibration .......................................................... 259
11.4.2 Evaluation of Event 1 ........................................................................260
11.4.3 Evaluation of Event 2 ........................................................................260
11.4.4 Evaluation of Event 3 ........................................................................ 262
11.5 Conclusions ................................................................................................... 263
References .............................................................................................................. 265