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Tanga (Tanzania) - Urban Green Area classification (ESA EO4SD-Urban)
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The Urban Green Area information product contains spatial explicit information on green areas located within the Urban Extent (derived from LU/LC product) of the city. Green areas include linear green features such as river alignments, hedges and trees, as well as public parks, private gardens, forested areas, etc. Urban Green Area dataset are based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2007)) by means of automated classification processing techniques.
Type:
Geospatial
Languages Supported:
English
Topics:
Urban Development
WB Project ID:
P111153
Granularity:
Geographical Coverage:
Tanzania
Economy Coverage:
Economy Coverage not specified
Number of Economies:
1
Periodicity:
Periodicity not specified
Release Date:
April 24, 2019
Last Updated
Last Updated:
April 24, 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 NEO B.V. 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.
Data Notes:
The Urban Green Area classification 2007 for Tanga was produced using Very High Resolution satellite imagery (2007: Quickbird-2). All steps for production of the dataset had a related Quality Control measure which is documented in the Annexes of the “EO4SD-Urban Tanga City Report, 2019.” The final thematic accuracy for this product was 86.98%.
The Urban Green Area classification 2018 for Tanga was produced using Very High Resolution satellite imagery (2018: Worldview-2). All steps for production of the dataset had a related Quality Control measure which is documented in the Annexes of the “EO4SD-Urban Tanga City Report, 2019.” The final thematic accuracy for this product was 87.91%.
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:
NEO B.V. ([email protected])
Time Periods:
January, 2020
Spatial Resolution:
1:1
West Bounding Coordinate:
39.0000
East Bounding Coordinate:
39.1600
North Bouding Coordinate:
-5.0200
South Bounding Coordinate:
-5.2000
No Visualizations Available.
- 260
The Urban Green Area information product contains spatial explicit information on green areas located within the Urban Extent (derived from LU/LC product) of the city. Green areas include linear green features such as river alignments, hedges and trees, as well as public parks, private gardens, forested areas, etc. Urban Green Area dataset are based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2007)) by means of automated classification processing techniques.
Data Resources
| Field | Value |
|---|---|
| Modified Date | 2020-03-18 |
| Release Date | |
| Periodicity | |
| Identifier | ebd766d0-380b-4fa2-9498-c931b6308244 |
| 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:
39.0000
East Bounding Coordinate:
39.1600
North Bouding Coordinate:
-5.0200
South Bounding Coordinate:
-5.2000
Spatial Resolution:
1:1
Number of Economies:
1
Update Frequency:
Geographical Coverage:
Data Classification of a Dataset:
WB Project ID:
P111153
SAF
Programatic Region:
Release Date:
Wednesday, April 24, 2019
Last Updated Date:
Wednesday, April 24, 2019
Organization:
NEO B.V. ([email protected])
Granularity:
Group:
Data Notes:
The Urban Green Area classification 2007 for Tanga was produced using Very High Resolution satellite imagery (2007: Quickbird-2). All steps for production of the dataset had a related Quality Control measure which is documented in the Annexes of the “EO4SD-Urban Tanga City Report, 2019.” The final thematic accuracy for this product was 86.98%.
The Urban Green Area classification 2018 for Tanga was produced using Very High Resolution satellite imagery (2018: Worldview-2). All steps for production of the dataset had a related Quality Control measure which is documented in the Annexes of the “EO4SD-Urban Tanga City Report, 2019.” The final thematic accuracy for this product was 87.91%.
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 NEO B.V. 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:
18009
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
