A Global Human Settlement Layer from Optical HR/VHR RS Data: Concept and First Results

A Global Human Settlement Layer from Optical HR/VHR RS Data: Concept and First Results. Pesaresi, M., Huadong, G., Blaes, X., Ehrlich, D., Ferri, S., Gueguen, L., Halkia, M., Kauffmann, M., Kemper, T., Lu, L., Marin-Herrera, M. A., Ouzounis, G. K., Scavazzon, M., Soille, P., Syrris, V., & Zanchetta, L. 6(5):2102–2131.

Paper doi abstract bibtex

A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test involved the mapping of 24.3 million km2 of the Earth surface spread in four continents, corresponding to an estimated population of 1.3 billion people in 2010. The resolution of the input image data ranges from 0.5 to 10 meters, collected by a heterogeneous set of platforms including satellite SPOT (2 and 5), CBERS 2B, RapidEye (2 and 4), WorldView (1 and 2), GeoEye 1, QuickBird 2, Ikonos 2, and airborne sensors. Several imaging modes were tested including panchromatic, multispectral and pan-sharpened images. A new fully automatic image information extraction, generalization and mosaic workflow is presented that is based on multiscale textural and morphological image features extraction. New image feature compression and optimization are introduced, together with new learning and classification techniques allowing for the processing of HR/VHR image data using low-resolution thematic layers as reference. A new systematic approach for quality control and validation allowing global spatial and thematic consistency checking is proposed and applied. The quality of the results are discussed by sensor, band, resolution, and eco-regions. Critical points, lessons learned and next steps are highlighted.

@article{pesaresiGlobalHumanSettlement2013,
  title = {A Global Human Settlement Layer from Optical {{HR}}/{{VHR RS}} Data: Concept and First Results},
  author = {Pesaresi, Martino and Huadong, Guo and Blaes, Xavier and Ehrlich, Daniele and Ferri, Stefano and Gueguen, Lionel and Halkia, Matina and Kauffmann, Mayeul and Kemper, Thomas and Lu, Linlin and Marin-Herrera, Mario A. and Ouzounis, Georgios K. and Scavazzon, Marco and Soille, Pierre and Syrris, Vasileios and Zanchetta, Luigi},
  date = {2013-10},
  journaltitle = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume = {6},
  pages = {2102--2131},
  issn = {1939-1404},
  doi = {10.1109/jstars.2013.2271445},
  url = {https://doi.org/10.1109/jstars.2013.2271445},
  abstract = {A general framework for processing high and very-high resolution imagery in support of a Global Human Settlement Layer (GHSL) is presented together with a discussion on the results of the first operational test of the production workflow. The test involved the mapping of 24.3 million km2 of the Earth surface spread in four continents, corresponding to an estimated population of 1.3 billion people in 2010. The resolution of the input image data ranges from 0.5 to 10 meters, collected by a heterogeneous set of platforms including satellite SPOT (2 and 5), CBERS 2B, RapidEye (2 and 4), WorldView (1 and 2), GeoEye 1, QuickBird 2, Ikonos 2, and airborne sensors. Several imaging modes were tested including panchromatic, multispectral and pan-sharpened images. A new fully automatic image information extraction, generalization and mosaic workflow is presented that is based on multiscale textural and morphological image features extraction. New image feature compression and optimization are introduced, together with new learning and classification techniques allowing for the processing of HR/VHR image data using low-resolution thematic layers as reference. A new systematic approach for quality control and validation allowing global spatial and thematic consistency checking is proposed and applied. The quality of the results are discussed by sensor, band, resolution, and eco-regions. Critical points, lessons learned and next steps are highlighted.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14595172,~to-add-doi-URL,ghsl,global-scale,human-settlement,integration-techniques,modelling,remote-sensing,urban-areas},
  number = {5}
}

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