Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 495

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A global poverty map derived from satellite data

Elvidge, Christopher D., Sutton, Paul C., Ghosh, Tilottama, Tuttle, Benjamin T., Baugh, Kimberly E., Bhaduri, Budhendra, Bright, Edward·2009·Computers & Geosciences

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cageo.2009.01.009

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Research works printed but not linked: 12

  1. Balk, D., Pozzi, F., Yetman, G., Deichmann, U., Nelson, A., 2005. The distribution of people and the dimension of place: methodologies to improve the global estimation of urban extent. In: Proceedings of the Urban Remote Sensing Conference, Tempe, Arizona, pp. 1–6, 〈http://www.iussp.org/Activities/wgc-urb/balk.pdf〉.
  2. Bhaduri, 2002, LandScan: locating people is what matters, Geoinformatics, 5, 34
  3. Dobson, 2000, LandScan: a global population database for estimating populations at risk, Photogrammetric Engineering and Remote Sensing, 66, 849
  4. Doll, 2000, Night-time imagery as a tool for global mapping of socio-economic parameters and greenhouse gas emissions, Ambio, 29, 157, 10.1579/0044-7447-29.3.157 · doi:10.1579/0044-7447-29.3.157 · Paper page
  5. Ebener, 2005, From wealth to health: modeling the distribution of income per capita at the sub-national level using nighttime lights imagery, International Journal of Health Geographics, 4, 5, 10.1186/1476-072X-4-5 · DOI
  6. Elvidge, 1999, Radiance calibration of DMSP–OLS low-light imaging data of human settlements, Remote Sensing of Environment, 68, 77, 10.1016/S0034-4257(98)00098-4 · DOI · Paper page
  7. Elvidge, 2007, The Nightsat mission concept, International Journal of Remote Sensing, 28, 2645, 10.1080/01431160600981525 · DOI · Paper page
  8. Friedl, 2002, Global land cover mapping from MODIS: algorithms and early results, Remote Sensing of Environment, 83, 287, 10.1016/S0034-4257(02)00078-0 · DOI · Paper page
  9. Robinson, 2007, Environmental approaches to poverty mapping: an example from Uganda, Information Development, 23, 205, 10.1177/0266666907079077 · doi:10.1177/0266666907079077
  10. Sachs, 2000, A new map of the world, The Economist, 355, 81
  11. Sachs, 2001, The geography of poverty and wealth, Scientific American, 284, 70, 10.1038/scientificamerican0301-70 · DOI · Paper page
  12. Sutton, 2007, Estimation of gross domestic product at sub-national scales using nighttime satellite imagery, International Journal of Ecological Economics and Statistics, 8, 5

Cited by

See all 495

Metadata

Authors
Elvidge, C. D., Sutton, P. C., Ghosh, T., Tuttle, B. T., Baugh, K. E., Bhaduri, B., & Bright, E.
Venue
Computers & Geosciences
Publisher
Elsevier BV
Published
2009-08
Volume
35
Issue
8
Pages
1652-1660
ISSN
0098-3004 (ISSN-L)
OpenAlex
W2090207950
Cited by
495
References
1
FWCI
8.27
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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: A global poverty map derived from satellite data. https://app.cochat.ai/papers/10.1016/j.cageo.2009.01.009
The paper
Elvidge, C. D., Sutton, P. C., Ghosh, T., Tuttle, B. T., Baugh, K. E., Bhaduri, B., & Bright, E. (2009). A global poverty map derived from satellite data. Computers & Geosciences. https://doi.org/10.1016/j.cageo.2009.01.009

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.