DFO Flood Event: 2019-Mozambique-4745

Brief Descriptions

April 30, 2019: "Tropical Cyclone Kenneth has continued to batter parts of Mozambique with heavy rain after the storm made landfall in the north of the country on 25 April, 2019, causing severe flooding. River levels are extremely high and the flood situation is likely to worsen over the coming days, according to reports. Pemba, the capital of Cabo Delgado Province on Mozambique’s northeastern coast, recorded 300mm of rain in 24 hours to 28 April. The UN says the town has seen over 540mm of rain since Kenneth made landfall. Mozambique’s National Disaster Management Institute (INGC) said at least 38 people have now died as a result of TC Kenneth. Four people died when Tropical Cyclone Kenneth passed over the Comoros Islands on 24 April, 2019. The cyclone has also caused huge material damages in northern Mozambique. Almost 3,000 houses and buildings have been totally destroyed and over 32,000 partially destroyed The damage include schools and health centres in the area, as well as over 30,000 hectares of crops." From Flood List.


1. Results from the NASA-supported Global Flood Monitoring System (GFMS) at ESSIC, University of Maryland. Date and UTC time are provided.


Maximum Observed Flooding

Red is all mapped flooding from this event. Blue is a reference normal water extent. Light gray is all previously mapped flooding, since 1999. See also the DFO Web Map Server. Over the course of the event, remote sensing data are combined to show all flooded areas. GIS and other data are provided here. The date is for the last update. Remote sensing geographic coverage may not be complete due to cloud cover or lack of satellite overpass.

Download Simplified Geotif version



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 region affected.

This event was selected for Observatory production of map and GIS data products.This web page and associated image and map (GIS) files become the permanent Flood Observatory record of the flood.

Intellectual Property:

As part of collaborations with other organizations, including GEO and the Global Flood Partnership, the Observatory's maps are made available here to the public. Geotif versions and GIS files are also available. With attribution, maps and data can be used freely for non-commercial purposes. With permission, they can be used for commercial purposes. Consult the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and Robert.Brakenridge or Albert.Kettner (at Colorado.edu) if questions. Attribution for this map when Sentinel SAR data are used: "Dartmouth Flood Observatory at the University of Colorado, from satellite data provided by NASA and Copernicus/European Space Agency". When using GIS data (see below) provided to DFO from other sources, please acknowledge original source.

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 are obtained from the NASA NRT Global Flood Mapping facility (surface water extents) and from NASA Worldview (image files); SUOMI/VIIRS image data are also retrieved from NASA Worldview.

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.

Maximum water extent data from the Global Surface Water Explorer may be included as part of the light gray previously mapped surface water. It is based on Landsat images at a spatial resolution of 30 m (Pekel and others, Nature 540, 418-422, 2016). The NASA Shuttle Water Boundary Data (SWBD) surface water extent (90 m resolution), blue, is derived from NASA's 11-day February, 2000, SRTM mission and was corrected using Landsat data. These data are not provided in the GIS directories.

When used in the maps, Copernicus Emergency Management Service GIS data are imported and installed in a labeled "Copernicus" subdirectory. All flood extents not created here, including those from Copernicus, are shown in a darker red color on the map but are combined into one red layer on the simplified large geotif file (if provided).. Image data sources for Copernicus mapping results may include Sentinel SAR satellites and also Cosmo-SkyMed SAR satellites. 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/".

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 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 operation depends on continued grant and project support. Gift contributions can be accepted. If your organization uses these data and maps, please consider becoming a partner and helping to sustain this effort. The institutional support of both universities is gratefully acknowledged.

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