The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests
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
STEININGER, M. K. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948984 · Cited by 176 · cited 1×
“Sensor saturation was a problem with the older generation of sensors (see Curran et al., 1997; Foody et al., 1996; Moran et al., 1994; Sader et al., 1994; Thenkabail, 1999; Steininger, 1996) and is still present in the new generation broadband IKONOS and ETM+ sensors, and to a lesser”
Background
Cited by
A survey of image classification methods and techniques for improving classification performance
Lu, D., & Weng, Q. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600746456 · Cited by 3,402
Monitoring and estimating tropical forest carbon stocks: making REDD a reality
Gibbs, H. K., Brown, S., Niles, J. O., & Foley, J. A. (2007) · Environmental Research Letters · doi:10.1088/1748-9326/2/4/045023 · Cited by 1,653
Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernández, J., Corvalán, P., & Koch, B. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.07.028 · Cited by 438
Li, W., Du, Z., Ling, F., Zhou, D., Wang, H., Gui, Y., Sun, B., & Zhang, X. (2013) · Remote Sensing · doi:10.3390/rs5115530 · Cited by 414
Quantifying Forest Biomass Carbon Stocks From Space
Rodríguez-Veiga, P., Wheeler, J., Louis, V., Tansey, K., & Balzter, H. (2017) · Current Forestry Reports · doi:10.1007/s40725-017-0052-5 · Cited by 177
Metadata
- Authors
- Thenkabail, P. S., Enclona, E. A., Ashton, M. S., Legg, C., & De Dieu, M. J.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2004-03
- Volume
- 90
- Issue
- 1
- Pages
- 23-43
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2097192876
- Cited by
- 313
- References
- 1
- FWCI
- 38.70
- Type
- journal article
- Language
- en
- Open access
- closed
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: Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests. https://app.cochat.ai/papers/10.1016/j.rse.2003.11.018
- The paper
- Thenkabail, P. S., Enclona, E. A., Ashton, M. S., Legg, C., & De Dieu, M. J. (2004). Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2003.11.018
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.