Revised RNL floodmap

1. Revised RNL floodmap • Pixels 25m x 25m binned 4:1 • Speckle reduced significantly. No other filter applied. • SAM has 10 endmembers user-defined • Plus 7 statistically derived from n-D • Grown but less unclass to start with • No unclassified pixels once grown • 17 SAM classes merged into 5 classes • Threshold applied to two classes • Threshold varied (0.20 and 0.18 sigma0) • Flood total dates map • Flood duration maximum span map

2. Mixed, not-well-characterized varfl Nf or impenetrable forest Always flooded, sometimes emergent. Varfl Always flooded, always emergent Grown 5-class combination made from 17-class SAM. Only varfl vary their flood state.

3. never sometimes always always The transition from never flooded thru sometimes flooded space and into always-flooded space is arranged in a believable way. In this example, some always-flooded submergable class is surrounded by always-flooded emergent class which is bordering on sometimes-flooded emergent which borders on never-flooded or impenetrable. Mixed, not-well-characterized varfl Nf or impenetrable forest Always flooded, sometimes emergent. Varfl Always flooded, always emergent

6. Flood maximum span of dates Flood dates total in 2 years

7. Max span of dates flooded, for each pixel. Histogram for the varfl class: distribution of max span of dates flooded.

8. This small class “wildly-varying varfl” is a mixture. This class is 1/3 of 1 percent of the regular varfl class. It contains sometimes-flooded areas and also always-flooded areas.