The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Outlining where humans live, the World Settlement Footprint 2015
Open accessAbstract
Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10 m resolution (0.32 arc sec) global map of human settlements on Earth for the year 2015, namely the World Settlement Footprint 2015 (WSF2015). The raster dataset has been generated by means of an advanced classification system which, for the first time, jointly exploits open-and-free optical and radar satellite imagery. The WSF2015 has been validated against 900,000 samples labelled by crowdsourcing photointerpretation of very high resolution Google Earth imagery and outperforms all other similar existing layers; in particular, it considerably improves the detection of very small settlements in rural regions and better outlines scattered suburban areas. The dataset can be used at any scale of observation in support to all applications requiring detailed and accurate information on human presence (e.g., socioeconomic development, population distribution, risks assessment, etc.).
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The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Updated world map of the Köppen-Geiger climate classification
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007) · doi:10.5194/hessd-4-439-2007 · Cited by 13,640
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086
Breaking new ground in mapping human settlements from space – The Global Urban Footprint
Esch, T., Heldens, W., Hirner, A., Keil, M., Marconcini, M., Roth, A., Zeidler, J., Dech, S., & Strano, E. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.10.012 · Cited by 403
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Cited by
A 30 m global map of elevation with forests and buildings removed
Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., & Neal, J. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac4d4f · Cited by 668
The urban morphology on our planet–Global perspectives from space
Zhu, X. X., Qiu, C., Hu, J., Shi, Y., Wang, Y., Schmitt, M., & Taubenböck, H. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112794 · Cited by 146
Multiple stressors in river networks: local and downstream effects on freshwater macroinvertebrates
Burgazzi, G., Juvigny‐Khenafou, N. P. D., Schreiner, V. C., Manfrin, A., Jupke, J., Piggott, J., Harvey, E., Terui, A., Leese, F., & Schäfer, R. B. (2026) · Ecography · doi:10.1002/ecog.07758 · Cited by 5
Metadata
- Authors
- Marconcini, M., Metz-Marconcini, A., Üreyen, S., Palacios-Lopez, D., Hanke, W., Bachofer, F., Zeidler, J., Esch, T., Gorelick, N., Kakarla, A., Paganini, M., & Strano, E.
- Venue
- Scientific Data
- Published
- 2020-07-20
- Volume
- 7
- Issue
- 1
- Pages
- 242-242
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W2981645643
- Cited by
- 368
- References
- 4
- Type
- data paper
- Language
- en
- Open access
- gold
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- Marconcini, M., Metz-Marconcini, A., Üreyen, S., Palacios-Lopez, D., Hanke, W., Bachofer, F., Zeidler, J., Esch, T., Gorelick, N., Kakarla, A., Paganini, M., & Strano, E. (2020). Outlining where humans live, the World Settlement Footprint 2015. Scientific Data. https://doi.org/10.1038/s41597-020-00580-5
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