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Saint Louis (Senegal) - Flood Risk Map (ESA EO4SD-Urban)
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Risk is defined as a combination of probability and consequences. A detailed and uniform land-use map is an important prerequisite to perform flood risk calculations, since it determines what is damaged in case of flooding.
Two different datasets regarding the urban landuse were made available:
• LULC product based on VHR data (WorldView-4 acquired on 29/11/2018) covering the core urban area (approx. 89,0 km²)
• LULC product based on HR data (Sentinel 2 acquired on 09/12/2018) covering the urban area (approx. 298,8 km²)
Both land-use classification results were recoded to pre-defined categories) and merged after categorization.
The exposition is classified integrating economic costs, social damage, physical damage and flood duration. Four land use damage levels (A, B, C, D) are defined based on this estimation.
The Flood Risk matrix is generated based on these results and on flood hazard classified into three hazard levels. The flood risk level is classified in four qualitative classes based on the combination of flood hazard and land use damage.
Type:
Geospatial
Languages Supported:
English
Topics:
Environment and Natural Resources
Urban Development
Water
Granularity:
Geographical Coverage:
Senegal
Economy Coverage:
Economy Coverage not specified
Number of Economies:
1
Periodicity:
Periodicity not specified
Release Date:
July 25, 2019
Last Updated
Last Updated:
July 25, 2019
Update Frequency
Update Frequency:
No further updates planned
Access Options:
Download
Limitations and Exceptions:
This dataset or mapping product is licensed under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Users are obligated to clearly and visibly give the following credit: "Produced by Joanneum Research in the EO4SD-Urban project funded by the European Space Agency (ESA)". Users are also obligated to indicate if they have made any changes, including translations.
Disclaimer:
The dataset is provided strictly "as-is" without any other warranty or guarantee of any kind. The user of the dataset acknowledges that the original producer or collector of the dataset, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Organization:
Joanneum Research
Other Producer (s) Name, Affiliation, Role:
Manuela Hirschmugl ([email protected])
Herwig Proske (h[email protected])
Time Periods:
January, 2020
Spatial Resolution:
30m
West Bounding Coordinate:
-16.518639658996502
East Bounding Coordinate:
-16.37472538460143
North Bouding Coordinate:
16.176946734176738
South Bounding Coordinate:
15.945651042786158
No Visualizations Available.
- 281
Risk is defined as a combination of probability and consequences. A detailed and uniform land-use map is an important prerequisite to perform flood risk calculations, since it determines what is damaged in case of flooding.
Two different datasets regarding the urban landuse were made available:
• LULC product based on VHR data (WorldView-4 acquired on 29/11/2018) covering the core urban area (approx. 89,0 km²)
• LULC product based on HR data (Sentinel 2 acquired on 09/12/2018) covering the urban area (approx. 298,8 km²)
Both land-use classification results were recoded to pre-defined categories) and merged after categorization.
The exposition is classified integrating economic costs, social damage, physical damage and flood duration. Four land use damage levels (A, B, C, D) are defined based on this estimation.
The Flood Risk matrix is generated based on these results and on flood hazard classified into three hazard levels. The flood risk level is classified in four qualitative classes based on the combination of flood hazard and land use damage.
Data Resources
| Field | Value |
|---|---|
| Modified Date | 2020-03-18 |
| Release Date | |
| Periodicity | |
| Identifier | 5b144e5e-f6b6-41d0-8b73-f98cac3b6b35 |
| Spatial / Geographical Coverage Area |
POLYGON ((-16.518639658997 15.945651042786, -16.518639658997 16.176946734177, -16.374725384601 16.176946734177, -16.374725384601 15.945651042786))
|
| License |
License Not Specified
|
| Contact Email | |
| Public Access Level |
Public
|
Type:
Languages Supported:
Disclaimer:
The dataset is provided strictly "as-is" without any other warranty or guarantee of any kind. The user of the dataset acknowledges that the original producer or collector of the dataset, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Time Periods:
January, 2020
Economy Coverage:
West Bounding Coordinate:
-16.518639658996502
East Bounding Coordinate:
-16.37472538460143
North Bouding Coordinate:
16.176946734176738
South Bounding Coordinate:
15.945651042786158
Spatial Resolution:
30m
Other Producer (s) Name, Affiliation, Role:
Manuela Hirschmugl ([email protected])
Herwig Proske ([email protected])
Number of Economies:
1
Update Frequency:
Geographical Coverage:
Data Classification of a Dataset:
SEA
Programatic Region:
Release Date:
Thursday, July 25, 2019
Last Updated Date:
Thursday, July 25, 2019
Organization:
Joanneum Research
Granularity:
Group:
Limitations and Exceptions:
This dataset or mapping product is licensed under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Users are obligated to clearly and visibly give the following credit: "Produced by Joanneum Research in the EO4SD-Urban project funded by the European Space Agency (ESA)". Users are also obligated to indicate if they have made any changes, including translations.
Modified date:
18101
License:
Primary Dataset:
Yes
Data Access and Licensing
This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.
This dataset is licensed under CC-BY 4.0
