Outputs a binary image where white pixels represent buildings.
Estimating urban footprint at a fast pace enables multiple stakeholders to create actionable data for insights and analysis. Urban planners, decision makers, designers, disaster responders, response planners etc can make immense utilization of creating this data. By using the algorithm, users will be able to create a fresh dataset which assists in detecting the change. Urban estimation is critical data to be analyzed along with all different secondary datasets for understanding the human factors on a global scale.
- Pléiades Display (Streaming) -> Raster Tiling (tile size: 768) -> Urban Estimation (panchromatic_band: false)
- Pléiades Display (Download) -> DIMAP -> GeoTIFF Conversion -> Raster Tiling (tile size: 768) -> Urban Estimation (panchromatic_band: false)
You can find more information on the provider website here.
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