DFO Flood Event 4533

Typhoon Damrey

Vietnam: Maximum Observed Flooding

Layers, bottom to top: Light gray is all previously-mapped flooding. Red is flooding mapped from NASA MODIS and Copernicus Sentinel 1 data provided by the European Space Agency. Blue is a reference normal water extent. Urban areas (satellite-visible lights) are shown in dark gray.

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Geotif version

Explanation

Event Numbers:

The Flood Observatory maintains a Global Active Archive of large flood events, 1985 to present. New major flood events are entered into this archive each week. A hand-drawn GIS polygon for each event outlines the estimated total area affected.

Event Maps and Copyright:

In some cases, severe or damaging floods become the focus of Observatory flood extent mapping. As part of collaborations with other organizations, and the Global Flood Partnership, the Observatory's maps and other data are made available here to the public. With attribution, they can be used for non-commercial purposes. With permission, they can be used for commercial purposes. Consult the Creative Commons license shown below and contact Robert.Brakenridge or Albert.Kettner (at Colorado.edu) if questions. Geotif versions and GIS files are also provided.

This event is selected for Observatory production of map and GIS data products.This web page and associated image and map (GIS) files are the permanent Flood Observatory record of this event. As the flood event proceeds, additional flood extent layers and maps may be added. The objective is mapping of the maximum extent flooded.

Description of this Event:

According to Flood List: "Vietnam – Over 40 Dead as Typhoon Damrey Dumps Over 1 Metre of Rain 6 November, 2017 by Richard Davies in Asia, News. As predicted, Typhoon Damrey made landfall in south Vietnam on 04 November, 2017, bringing with it extreme rainfall and strong winds with gusts of 90 km/h. Tra My in Quang Nam province recorded 1,470 mm of rain in 48 hours between 03 and 05 November. At least 8 other locations recorded around 1,000 mm of rain or more during that period. A Luoi in Thua Thien Hue province recorded 751 mm of rain in 24 hours to 05 November. Vietnam’s Steering Committee for Disaster Prevention said that, among others, the Thu Bon river in Quang Nam and the Con river in Binh Dinh province are bother overflowing. As of 05 November, the Steering Committee said that 44 people have lost their lives and 19 were missing. At least 27 people have died in Khanh Hoa (27), where a further 14 are still missing, 9 of them at sea. Other fatalities occurred in Quang Ngai (4), Binh Dinh (3), Lam Dong (3) and Dak Lak (5 deaths, 4 of them at sea). Deaths were also reported in Phu Yen and Kon Tum. At least 35 000 people have been evacuated across affected areas. Almost 80,000 houses have been damaged and 2,000 collapsed, most of them in Quang Ngai and Khanh Hoa, according to the Steering Committee. More than 40,000 hectares of crops has also been damaged, including sugar cane, rice fields and rubber plantations, according to Reuters. Over 70 people died when major flooding hit Vietnam in October 2017."

In addition to the maps above, for web map service-based (WMS) versions of the same mapping results, visit this DFO link. Zoom in to location of interest, and turn on appropriate event and other data layers.

Suggested citation:

Brakenridge, G.R. and Kettner, A. J., date, "DFO Flood Event #", Dartmouth Flood Observatory, University of Colorado, Boulder, Colorado, USA, http address.

Copyright:

Creative Commons License
The maps and web pages provided here are by G. R. Brakenridge and A. J. Kettner and allowable use is guided by the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Use for commercial purposes is by permission. Suggested attribution for this map: "Dartmouth Flood Observatory at the University of Colorado, from satellite data provided by NASA and Copernicus/European Space Agency".

Image Data Sources:

NASA Landsat 8 and Copernicus/ESA Sentinel SAR data if used in this map were obtained from the the U.S. Geological Survey Hazards Data Distribution System. and the Sentinels Science Data hub, respectively. Landsat 8 is jointly managed by NASA and the United States Geological Survey. Copernicus is supported by the European Commission..

MODIS data processing

Click here for access to an automated daily MODIS-derived .shp file GIS record (record commences in 2011). Choose appropriate 10 deg x 10 deg map sheet directory and appropriate dates; longitude and latitudes refer to upper left map sheet corner. Not all floods are mappable at the MODIS spatial resolution of 250 m. Some DFO event maps also include these automated MODIS data. If provided in the GIS file directories, the relevant MODIS "Current" file used is renamed to show the date used. These files are an accumulation of all MODIS water for that date and 13 days prior. The data shown on the maximum flood extent maps also refer to the MODIS date range; other satellite image dates are within that date range.

Obtain the GIS Data:

Flood extent files (Shp or Mapinfo) supporting this Flood Event Map are located here.

These files may include high spatial resolution mapping such as from Sentinel or Landsat, or lower resolution files from MODIS. File names commonly include the sensor source (e.g., S1 for Sentinel 1, LS8 for Landsat, MODIS for MODIS) and the image date.

Data from the Global Surface Water Explorer is included as part of the light gray previous mapped maximum surface water extent. It is based on Landsat images at a spatial resolution of 30 m (Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward, High-resolution mapping of global surface water and its long-term changes. Nature 540, 418-422, 2016). The NASA Shuttle Water Boundary Data (SWBD) surface water extent (90 m resolution), blue, was derived from NASA's the 11-day February, 2000, SRTM mission and this "permanent" water layer was also corrected using Landsat data. These data are not provided in the GIS directories.

When used in the maps, NASA NRT Global Flood Mapping maximum water extent for the years 2013-2015, at 250 m spatial resolution, provide part of the (light gray) previous satellite-mapped water extent layer. DFO creates these annual water extent layers from data provided by that project, by accumulating into one annual file all of the daily .shp files for each year. DFO has also produced flood extent files through mapping of individual floods (~ yr 2000 to present); these are also included in this layer.

When used in the maps, Copernicus Emergency Management Service data are imported as GIS files and installed in the GIS data folder. "Delineation" files refer to flood inundation extents. Dissemination Policy: Under Copernicus and Commission Delegated Regulations, the information produced by the Copernicus Emergency Management Service shall be made available to the public on a full, open and free-of-charge basis. Attribution of the source is required "Copernicus Emergency Management Service, Directorate Space, Security and Migration, European Commission Joint Research Centre (EC JRC). Accessed date. http://emergency.copernicus.eu/".

Related Information from Other Sources:

(Consult original sources for copyright and use restrictions)

 

Funding, Data, and Institutional Support:

The NASA Earth Sciences Program, the Latin American Development Bank, the World Bank, the European Commission's Global Disaster Alert and Coordination System, GDACS, and Copernicus Emergency Management Service, the Google Earth Engine research awards program, the Committee on Earth Observation Satellites (CEOS) Disasters Working Group-Flood Pilot, the Japanese Space Agency, and the European Space Agency all have supported the Observatory's work via research grants and contracts or by provision of free satellite-derived data.

The Dartmouth Flood Observatory was founded in 1993 at Dartmouth College, Hanover, NH USA and moved to the University of Colorado, INSTAAR, CSDMS in 2010. Its sustained operation depends on continued grant and project support. Gift contributions can be accepted; if your organization uses these data and maps, please consider helping to sustain this effort. The institutional support of both universities is gratefully acknowledged.

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