You have full text access to this contentA multi-temporal analysis of AMSR-E data for flood and discharge monitoring during the 2008 flood in Iowa (pages 2623–2634)

摘要

The objective of this work is to demonstrate the potential of using passive microwave data to monitor flood and dischargeconditions and to infer watershed hydraulic and hydrologic parameters. The case study is the major flood in Iowa in summer2008. A new Polarisation Ratio Variation Index (PRVI) was developed based on a multi-temporal analysis of 37 GHz satelliteimagery from the Advanced Microwave Scanning Radiometer (AMSR-E) to calculate and detect anomalies in soil moistureand/or inundated areas. The Robust Satellite Technique (RST) which is a change detection approach based on the analysis ofhistorical satellite records was adopted. A rating curve has been developed to assess the relationship between PRVI valuesand discharge observations downstream. A time-lag term has been introduced and adjusted to account for the changing delaybetween PRVI and streamflow. Moreover, the Kalman filter has been used to update the rating curve parameters in near realtime. The temporal variability of the b exponent in the rating curve formula shows that it converges toward a constant value.A consistent 21-day time lag, very close to an estimate of the time of concentration, was obtained. The agreement betweenobserved discharge downstream and estimated discharge with and without parameters adjustment was 65 and 95%, respectively.This demonstrates the interesting role that passive microwave can play in monitoring flooding and wetness conditions andestimating key hydrologic parameters. Copyright  2011 John Wiley & Sons, Ltd.