PRELIMINARY SATELLITE-DERIVED FLOOD AND LANDSLIDE ASSESSMENT

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: - [name](http://wiki.openstreetmap.org/wiki/Key:name) - [name:en](http://wiki.openstreetmap.org/wiki/Key:name:en) - [waterway](http://wiki.openstreetmap.org/wiki/Key:waterway) - [covered](http://wiki.openstreetmap.org/wiki/Key:covered) - [width](http://wiki.openstreetmap.org/wiki/Key:width) - [depth](http://wiki.openstreetmap.org/wiki/Key:depth) - [layer](http://wiki.openstreetmap.org/wiki/Key:layer) - [blockage](http://wiki.openstreetmap.org/wiki/Key:blockage) - [tunnel](http://wiki.openstreetmap.org/wiki/Key:tunnel) - [natural](http://wiki.openstreetmap.org/wiki/Key:natural) - [water](http://wiki.openstreetmap.org/wiki/Key:water) - [source](http://wiki.openstreetmap.org/wiki/Key:source) - [name:af](http://wiki.openstreetmap.org/wiki/Key:name:af) - [name:nr](http://wiki.openstreetmap.org/wiki/Key:name:nr) - [name:st](http://wiki.openstreetmap.org/wiki/Key:name:st) - [name:nso](http://wiki.openstreetmap.org/wiki/Key:name:nso) - [name:ssw](http://wiki.openstreetmap.org/wiki/Key:name:ssw) - [name:ts](http://wiki.openstreetmap.org/wiki/Key:name:ts) - [name:tn](http://wiki.openstreetmap.org/wiki/Key:name:tn) - [name:ve](http://wiki.openstreetmap.org/wiki/Key:name:ve) - [name:xh](http://wiki.openstreetmap.org/wiki/Key:name:xh) - [name:zu](http://wiki.openstreetmap.org/wiki/Key:name:zu) This dataset is one of many [OpenStreetMap exports on HDX](https://data.humdata.org/organization/hot). See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more information.

Water resources and water infrastructure in South Africa including rivers, lakes, boreholes, wells and water points. Use this layer for water access analysis, WASH programme planning, drought monitoring, flood risk assessment, and water resource management.

Dates of Images: Post-Event: June 28, 2026 Pre-Event: May 14, 2026 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Color Infrared composite is created using the near-infrared, red, and green channels. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: True Color: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: https://gis.earthdata.nasa.gov/portal/rest/services/DISASTERS_202606_FLOOD_LA/202610_sentinel2/ImageServer WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_FLOOD_LA/202610_sentinel2/ImageServer/WMSServer

Date of Images: 5/15/2024, 5/8/2024, 4/21/2024, 4/6/2024 Summary: Scientists at NASA's Marshall Space Flight Center created these water extents using Landsat imagery. These images can be used to see where open water is visible at the time of the satellite overpass. This product shows all water detected and differentiates between normal water areas and some flooded areas. This product was classified using the ESA Worldview. It's important to note that all flooded areas may not be captured do to the sensors limitations of not being able to "see" through vegetation and buildings. To determine where additional flooding may have occurred, combine this layer with other data sets. Suggested Use: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classifications from CDL that appear to have water and are potentially flooded. Blue (1): Known Water Red (2): Flooded Developed Green (3): Flooded Vegetation Orange (4): Flooded Cropland/Grassland Gray (5): Clouds/Cloud Shadow (0): No Data Satellite/Sensor: Landsat Resolution: 30 meters Credits: NASA Disasters Program, Includes copyrighted material of Planet Labs PBC. All rights reserved. Esri REST Endpoint: See URL section on the right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/2602_landsat_WaterExtent/MapServer/WMSServer

Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage