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This dataset is licensed under CC-BY 4.0

CC-BY 4.0

Dhaka (Bangladesh) - Flood Maps (ESA EO4SD-Urban)

Description: 

Flood information product over Dhaka (Bangladesh) contains spatial explicit information about the floods and hazard for years 2004, 2007, 2014 & 2016. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Tanga (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)

Description: 

The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2007 / 2018)) by means of manual classification processing techniques.

Type: 
Geospatial

Tanga (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution at a certain degree, within the Core City Districts of Tanga. The Population Distribution and Density product is estimated for all objects which belong to the residential class (LULC class 11), using 5 different data sources: LULC Product, WorldPop data (2005 / 2018) with a spatial resolution of 100m, official population census data from 2002 and 2012, Soil Sealing layer and Administrative Boundaries

Type: 
Geospatial

Bamako (Mali) - Transportation Network (ESA EO4SD-Urban)

Description: 

Transportation network - nodes and network products over Bamako (Mali) contain spatial explicit information transport network nodes and network as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Bamako (Mali) - Land Use/Land Cover Maps (ESA EO4SD-Urban)

Description: 

Land Use / Land Cover (LULC) information product over Bamako (Mali) contains spatial explicit information about the different land covers / uses for current (2018) date. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-4) over core urban areas covered by very high resolution satellite imagery.

Type: 
Geospatial

Tanga (Tanzania) - Land Use/Land Cover Map (ESA EO4SD-Urban)

Description: 

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in the Core Urban area of the City of Tanga. The Core Urban area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core Urban area was the Very High Resolution (VHR) data of Sentinel-2 (2016) / Landsat-5 (2006).

Type: 
Geospatial

Bamako (Mali) - Urban Green Areas Map (ESA EO4SD-Urban)

Description: 

Open Green Areas (OGA) information product over Bamako (Mali) contains spatial explicit information about the different Open Green Areas (OGA) for current (2018) date. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-4) over core urban areas covered by very high resolution satellite imagery.

Type: 
Geospatial

Tanga (Tanzania) - Informal Settlements (ESA EO4SD-Urban)

Description: 

Planned and Unplanned Settlement information product contains spatial explicit information on the two settlement types within the core urban area. The distinction into the two settlement types is restricted to the residential area (LULC class 11), and to commercial areas (LULC class 1211) which also have a residential component. The Planned and Unplanned Settlements and Change dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2: 2007) by means of visual interpretation.

Type: 
Geospatial

Arusha (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)

Description: 

The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005) and Worldview-2, GeoEye-1 (2015, 2016)) by means of manual classification processing techniques.

Type: 
Geospatial

Tanga (Tanzania) - Urban Green Area classification (ESA EO4SD-Urban)

Description: 

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

Arusha (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density 2005 and 2015 products contains spatial explicit information about population distribution at a certain degree, within the Core Urban Districts of Arusha. The following eight classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density product is estimated for all objects which belong to...

Type: 
Geospatial

Arusha (Tanzania) - Land Use/Land Cover Maps (ESA EO4SD-Urban)

Description: 

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in the Core areas and Larger Urban areas of the City of Arusha. The Core area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core area was the Very High Resolution (VHR) data of Quickbird-2 (2005) and Worldview-2, GeoEye-1 (2015, 2016). Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban area was Aster (2006) and Sentinel-2 (2016).

Type: 
Geospatial

Arusha (Tanzania) - Planned and Unplanned Settlement Areas (ESA EO4SD-Urban)

Description: 

Planned and Unplanned Settlement information product contains spatial explicit information on the two settlement types within the core urban area. The distinction into the two settlement types is restricted to the residential area (LULC class 11), and to commercial areas (LULC class 1211) which also have a residential component. The Planned and Unplanned Settlements and Change dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005) and Worldview-2, GeoEye-1 (2015, 2016)) by means of visual interpretation.

Type: 
Geospatial

Arusha (Tanzania) - Urban Green Areas Maps (ESA EO4SD-Urban)

Description: 

Urban Green Area information product contains spatial explicit information on green areas located within the Urban Extent (derived from LULC 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 Areas dataset are based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005) and Worldview-2, GeoEye-1 (2015, 2016)) by means of automated classification processing techniques.

Type: 
Geospatial

Semarang (Indonesia) - Transport Infrastructure (ESA EO4SD-Urban)

Description: 

The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads in 2006 and 2015. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2 (2006, 2008) and Pleiades (2015)) by means of manual classification processing techniques.

Type: 
Geospatial

Semarang (Indonesia) - Terrain Motion Map (ESA EO4SD-Urban)

Description: 

Terrain and infrastructure motion contains spatially explicit information on land subsidence area and affected infrastructure. The infrastructure information is generated independently within the Land Use Product and used as an additional input layer for this product.

Type: 
Geospatial

Semarang (Indonesia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)

Description: 

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in the Larger Urban and Core City areas of the City of Semarang. The Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban area was Landsat-5 (2006) and Sentinel-2 (2016). The Core Urban area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core Urban area was the Very High Resolution (VHR) data of Quickbird-2 (2006, 2008) and Pleiades (2015).

Type: 
Geospatial

Semarang (Indonesia) - Flood Risk Map (ESA EO4SD-Urban)

Description: 

For the Semarang area generally two types of floods are typical and have to be taken into account accordingly: a. Tidal floods in coastal areas due to land subsidence
Rates ranging from 1 to 17 cm/year. These results are confirmed by the recent InSAR subsidence calculation based on Sentinel 1 Radar Data performed by JR within the frame of this project. b. Short-term local floods and river floods after heavy thunderstorms.
The present Geodatabase includes 12 stages of coastal water extent between 1995 and 2017 to demonstrate the increase of flooded areas.

Type: 
Geospatial

Saint Louis (Senegal) - Transport Network Map (ESA EO4SD-Urban)

Description: 

The product over Saint Louis (Senegal) contains spatial explicit information about transport network and its typology as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Saint Louis (Senegal) - Land Use / Land Cover Maps (Core City Area and Larger Urban Area) (ESA EO4SD-Urban)

Description: 

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover of both the Larger Urban Area and Core City Area for the City of Saint Louis, with detailed LU/LC nomenclature. The input data for the Larger Urban Area was the High Resolution (HR) data of Landsat-5 (2006) and Sentinel-2 (2018). The input data for the Core City Area was the Very High Resolution (VHR) data of quickbird (2003) and Worldview (2018).
The LU/LC product is the Baseline Product from which various derived products (such as Green Areas) are produced.

Type: 
Geospatial

Saint Louis (Senegal) - Flood Risk Map (ESA EO4SD-Urban)

Description: 

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...

Type: 
Geospatial

Saint Louis (Senegal) - Flood Extent Maps (ESA EO4SD-Urban)

Description: 

For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered:
a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area
b. Floods triggered by rainfall stagnation after heavy local cloudbursts
c. Floods caused by sea-level rise, tidal waves and coastal erosion
Scenario a.) and b.) may occur at...

Type: 
Geospatial

Saint Louis (Senegal) - Flood Hazard Map (ESA EO4SD-Urban)

Description: 

For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered:
a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area (mainly from August to November)
b. Floods triggered by rainfall stagnation after heavy local cloudbursts
c. Floods caused by sea-level rise, tidal waves and coastal erosion
Scenario a.) and b.) may occur at the same time.

The flood hazard map was generated based on the occurrence of flood events during the past 10 years.
The...

Type: 
Geospatial

Denpasar (Indonesia) - Transport Infrastructure (ESA EO4SD-Urban)

Description: 

The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2: 2005 and WorldView-2: 2017) by means of manual classification processing techniques.

Type: 
Geospatial

Denpasar (Indonesia) - Land Cover / Land Use Maps (ESA EO4SD-Urban)

Description: 

Land Use/Land Cover (LU/LC) information product contains spatial explicit Information on different land use and land cover occurring in both the Larger Urban Areas and the Core Areas of the City of Denpasar. The Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban area was Landsat-7 (2000, 2002) and Sentinel-2 (2016). The Core area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core area was the Very High Resolution data of QuickBird-2 (2005, 2006) and WorldView-2 (2017). The LU/LC product is the...

Type: 
Geospatial