1. MODIS NRT Flood Water Mapping Fritz Policelli, NASA GSFC LANCE UWG November 16, 2010

2. Collaborators and Partners NASA Applied Sciences Program – Brad Doorn – Program Manager Dartmouth Flood Observatory – Robert Brakenridge – Director NASA GSFC – Shahid Habib - NASA – Daniel Slayback – SSAI/ GSFC – Jen Sun – SSAI/ GSFC – Dimitar Ouzounov - SSAI/ GSFC NASA LANCE MODIS team Regional Center for Mapping of Resources for Development (RCMRD, Nairobi Kenya) CEOS/GEO Haiti Flood Pilot Project (Stuart Frye et al.) International Red Cross and Red Crescent Namibia Hydrology Dept. NASA GSFC Sensor Web Team

3. Motivation (100 Million)

4. Background Dartmouth Flood Observatory – Creating Flood Maps using satellite data since 1993 – MODIS Flood Maps since operations began in 2000 – Recently moved to University of Colorado http://floodobservatory.colorado.edu/ To date the flood maps have been manually processed: – Now streamlined to approx. 1 hour operation (after flood is detected, data is acquired, staff are available…..)

5. Background Layer: SRTM Topography

6. MODIS Images TerraAqua March 24, 2009 March 25, 2009 Tile h20 v10 Okavango Delta – Lake Kariba

7. Composite Surface Water Map from MODIS Bands 1 and 2

8. Reference water overlay: MOD44W Remaining red = potentially flooded areas

9. Persistent Cloud Cover from MOD35 Indicate Areas Where Flood Detection is Not Possible

10. Annotations for published product

11. VALIDATION – Early Results

12. Known Issues 1.Cloud Cover/ Cloud Shadow 1.Dense Vegetation 2.MODIS 250m resolution will not meet all users needs Evaluation Provided by Namibia Hydrology

13. NEXT STEPS – Near Term Complete (limited) Validation Project Final Report – Jan. 31, 2011 Maintain Flood Map Service for Sub-Saharan Africa, Haiti Serve data in additional formats (geotiff, KML, flooded area shape file..) Evaluate accuracy and utility of flood maps with partners Investigate (with GSFC Sensor Web team) automated triggering of hi- resolution satellite data acquisitions based on Flood Map Proposal with LANCE team to expand Flood Map Service to Global

14. NEXT STEPS – Mid Term Produce/ Evaluate 1-day composites (Currently 2-day composites) Update Flood Maps each orbital Pass (Currently once per day) Investigate integrated use of Digital Elevation Data to define flooded areas (to address low lying areas under dense vegetation) Investigate (with Intl partners) incorporation of near real time radar imaging data

15. Vision for the Future FLOOD MODEL FORECASTS NRT FLOOD MAPPING SENSOR WEB TASKING GROUND DATA, REPORTS, PHOTOS Angola March 4, 2009 “Heavy rains have been reported for the past 3 weeks to the southern Provinces of Angola. …..4719 houses are reported destroyed and 4719 families displaced. Large amount of farmland and crops are flooded and lost in particular. No death to humans reported but large amount of small animals have been lost. There remains a major risk for epidemic disease outbreak due to lack of safe drinking water and to latrines.” SITUATIONAL AWARENESS

16. Some Conclusions Limited Automated Flood Mapping System Live since late October 2010 Products are now available through the Dartmouth Flood Observatory http://floodobservatory.colorado.edu/Lanc eModis.html We are Looking for More Partners to Help Evaluate We are Looking for funding to expand and improve

17. QUESTIONS? COMMENTS?

18. MODIS Cloud Mask Product = MOD35 Surface Water Map and Cloud Mask Created Using ENVI/ IDL Overlay Mapping Uses ArcGIS 10, Python Scripting