Morphology of Trinidad, Bolivia: 2007 and 2015 Land Cover Classification

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These raster files represent land cover classifications in Trinidad, Bolivia at two different time periods: March 7, 2007 and June 15, 2015.

In order to better understand the changing landscape of Trinidad, imagery covering the entire city was acquired at two different time periods (2007 and 2015). These high resolution (50cm) scenes were then transformed into land cover maps using a methodology developed by Graesser et al (2012). Originally created to accurately detect shanties in major cities throughout the world, this method has been proven effective in a diverse set of cities (Kandahar, Kabul, Caracas, and La Paz). Furthermore, it has been shown to be effective at capturing land cover change in 5 primary cities in Africa by Antos et al 2016. Since its creation, it has been adopted by the US Census Bureau, US Department of Energy’s Oakridge Laboratory and The George Washington University.

This semi-automated classification approach, examines the texture and structural composition of various neighborhoods, and then groups land with similar patterns into a single class. For the city of Trinidad, the images were divided into 9 distinct classes: Regular residential, Sparse residential, Flooded residential (only detected in 2005), commercial/industrial, roads, bare soil/dry grass, sand, vegetation, and water.

Raster is coded by number, defined below:
1. Sparse Residential
2. Regular Residential,
3. Commercial/Industrial
4. Bare Soil/Dry Grass
5. Vegetation
6. Water
7. Sand
8. Road
9. Flooded residential (only detected in 2007)

Type: 
Geospatial
Languages Supported: 
English
Topics: 
Urban Development
Water
Granularity: 
Geographical Coverage: 
Bolivia
Economy Coverage: 
Blend
Lower Middle Income
Periodicity: 
Other

Last Updated

Last Updated: 
September 19, 2017
Time Periods: 
September, 2017
West Bounding Coordinate: 
East Bounding Coordinate: 
North Bouding Coordinate: 
South Bounding Coordinate: 

No Visualizations Available.

These raster files represent land cover classifications in Trinidad, Bolivia at two different time periods: March 7, 2007 and June 15, 2015.

In order to better understand the changing landscape of Trinidad, imagery covering the entire city was acquired at two different time periods (2007 and 2015). These high resolution (50cm) scenes were then transformed into land cover maps using a methodology developed by Graesser et al (2012). Originally created to accurately detect shanties in major cities throughout the world, this method has been proven effective in a diverse set of cities (Kandahar, Kabul, Caracas, and La Paz). Furthermore, it has been shown to be effective at capturing land cover change in 5 primary cities in Africa by Antos et al 2016. Since its creation, it has been adopted by the US Census Bureau, US Department of Energy’s Oakridge Laboratory and The George Washington University.

This semi-automated classification approach, examines the texture and structural composition of various neighborhoods, and then groups land with similar patterns into a single class. For the city of Trinidad, the images were divided into 9 distinct classes: Regular residential, Sparse residential, Flooded residential (only detected in 2005), commercial/industrial, roads, bare soil/dry grass, sand, vegetation, and water.

Raster is coded by number, defined below:
1. Sparse Residential
2. Regular Residential,
3. Commercial/Industrial
4. Bare Soil/Dry Grass
5. Vegetation
6. Water
7. Sand
8. Road
9. Flooded residential (only detected in 2007)

Data Resources

FieldValue
Modified Date
2019-09-06
Release Date
Periodicity
Identifier
6b06cec5-af7c-4cd9-910e-09046f636d8a
Spatial / Geographical Coverage Area
POLYGON ((-64.837189904867 -14.886753747373, -64.837189904867 -14.770648852768, -64.968016624594 -14.770648852768, -64.968016624594 -14.886753747373))
License
License Not Specified
Contact Email
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Time Periods: 
September, 2017
Economy Coverage: 
West Bounding Coordinate: 
East Bounding Coordinate: 
North Bouding Coordinate: 
South Bounding Coordinate: 
Terms of Use: 
Geographical Coverage: 
Data Classification of a Dataset: 
SUR
Programatic Region: 
Last Updated Date: 
Tuesday, September 19, 2017
Granularity: 
Modified date: 
17427
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

CC-BY 4.0

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