Lake Ontario Disasters

Derived from Aqua and Terra MODIS data, this image shows the difference between the Normalized Difference Snow Index (NDSI) in March 2017 compared to the median NDSI in March from 2000 to 2018 surrounding Lake Ontario. Light blue areas received less snow than usual, while blue areas received more. Dark blue represents bodies of water. By increasing awareness of variables that contribute to flooding (like snow cover), communities can be better prepared for flood events.

Employing NASA Earth Observations in the Greater Toronto Area to Improve Flood Preparedness for Coastal Communities

From late January through the beginning of May 2017, an extraordinary amount of precipitation fell in the Lake Ontario watershed. By late April, large swaths of the Greater Toronto Area (GTA), including numerous lakefront properties, beaches, and public recreation facilities, had become inundated with water. Partnering with the City of Toronto, the City of Mississauga, the Great Lakes and St. Lawrence Cities Initiative (GLSLCI), the Credit Valley Conservation (CVC), and the Toronto and Region Conservation Authority (TRCA), this project provided tools for local and regional organizations to improve their response to flood events. These tools used Earth observations from six satellites to produce two end products. Sentinel-1 C-Band Synthetic-Aperture Radar (C-SAR) and Sentinel-2 Multispectral Instrument (MSI) provided data for flood extent maps using a classification algorithm. Global Precipitation Measurement (GPM) Integrated Multi-Satellite Retrievals for GPM (IMERG), Soil Moisture Active Passive (SMAP) L-band Radiometer, Terra Moderate Resolution Imaging Spectrometer (MODIS), and Shuttle Radar Topography Mission (SRTM) contributed precipitation, soil moisture, snow cover, and elevation data used in a Google Earth Engine (GEE) data visualization tool. The results of this project demonstrated the feasibility of GEE as a platform for providing municipalities in the Toronto metropolitan area with tools to understand and visualize flood behavior and associated patterns in hydroclimatic variables. Thus, these municipalities are better prepared to protect the most vulnerable flood-prone areas in the GTA.

Project Video:

Hold Back the Flow

Arizona — Tempe
Spring 2019
Great Lakes and St. Lawrence Cities Initiative
City of Mississauga, Community Services Department, Environmental Division
City of Toronto, Office of Emergency Management
Credit Valley Conservation
Toronto and Region Conservation Authority
NASA Earth Observations
Sentinel-1 C-SAR
Sentinel-2 MSI
SMAP L-band Radiometer
Tyler Hennessee (Project Lead)
Isaac Gamoran
Meryl Kruskopf
Elizabeth Swanson
Dr. David Hondula (Arizona State University)
Dr. Cedric Fichot (Boston University)