The DOI matches its Crossref record; 252 of the 252 references it cites were found in a registry or an index.
Understanding an urbanizing planet: Strategic directions for remote sensing
Open accessAbstract
Abstract Scientific contributions from remote sensing over the last fifty years have significantly advanced our understanding of urban areas. Key contributions of urban remote sensing include but are not limited to characterization of urban areas, urban land cover changes and thermal remote sensing of urban climates. Today, the proliferation of new sensors, long time series of the satellite record, joint analysis of Earth observation data with ancillary data sets, widespread availability of high-performance computing facilities, and slow but increasing use of remote sensing data and methods in non-remote sensing fields together offer new opportunities to generate scientific knowledge for an urbanizing planet. Simultaneously, the scale and pace of contemporary urbanization require new information about urban areas from both the science and policy communities. This paper examines remote sensing contributions to the scientific understanding of urban areas over the last 50 years until today. Based on this assessment and current needs by user communities, we identify four strategic directions for future urban remote sensing research: high temporal frequency analysis, characterization of urban heterogeneity, characterization of urban form and structure in two and three dimensions, and linking remote sensing with emerging urban data. Advances in these four areas are likely to generate significant new insights that will be useful to both science and policy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.031 · Cited by 14,719
Human domination of Earth’s ecosystems
Vitousek, P. M., Mooney, H. A., Lubchenco, J., & Melillo, J. M. (1997) · Science · doi:10.1126/science.277.5325.494 · Cited by 9,086
Global threats to human water security and river biodiversity
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Liermann, C. R., et al. (2010) · Nature · doi:10.1038/nature09440 · Cited by 7,582
Global Change and the Ecology of Cities
Grimm, N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Wu, J., Bai, X., & Briggs, J. M. (2008) · Science · doi:10.1126/science.1150195 · Cited by 7,139
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
Self-citationSentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., et al. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.11.026 · Cited by 4,815
Change, I. P. O. C. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415416 · Cited by 4,693
The energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
Citizens as sensors: the world of volunteered geography
Goodchild, M. F. (2007) · GeoJournal · doi:10.1007/s10708-007-9111-y · Cited by 4,522
Local Climate Zones for Urban Temperature Studies
Stewart, I. D., & Oke, T. R. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00019.1 · Cited by 4,419
Cited by
Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
Gong, P., Li, X., Wang, J., Bai, Y., Chen, B., Hu, T., Liu, X., Xu, B., Yang, J., Zhang, W., et al. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111510 · Cited by 1,243
Self-citationFifty years of Landsat science and impacts
Wulder, M. A., Roy, D. P., Radeloff, V. C., Loveland, T. R., Anderson, M. C., Johnson, D. M., Healey, S., Zhu, Z., Scambos, T. A., Pahlevan, N., et al. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2022.113195 · Cited by 771
Self-citationChen, T.-H. K., Qiu, C., Schmitt, M., Zhu, X. X., Sabel, C. E., & Prishchepov, A. V. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.112096 · Cited by 104
Learning from urban form to predict building heights
Milojevic-Dupont, N., Hans, N., Kaack, L. H., Zumwald, M., Andrieux, F., de Barros Soares, D., Lohrey, S., Pichler, P.-P., & Creutzig, F. (2020) · PLOS ONE · doi:10.1371/journal.pone.0242010 · Cited by 93
Metadata
- Authors
- Zhu, Z., Zhou, Y., Seto, K. C., Stokes, E. C., Deng, C., Pickett, S. T. A., & Taubenböck, H.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 228
- Pages
- 164-182
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2943287822
- Cited by
- 398
- References
- 252
- FWCI
- 18.23
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Understanding an urbanizing planet: Strategic directions for remote sensing. https://app.cochat.ai/papers/10.1016/j.rse.2019.04.020
- The paper
- Zhu, Z., Zhou, Y., Seto, K. C., Stokes, E. C., Deng, C., Pickett, S. T. A., & Taubenböck, H. (2019). Understanding an urbanizing planet: Strategic directions for remote sensing. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.04.020
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.