The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
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Citations
Cites
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
McFEETERS, S. K. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948714 · Cited by 7,725
Remote Sensing and Image Interpretation
Wright, J., Lillesand, T. M., & Kiefer, R. W. (1980) · The Geographical Journal · doi:10.2307/634969 · Cited by 7,238
Xu, H. (2006) · International Journal of Remote Sensing · doi:10.1080/01431160600589179 · Cited by 5,998
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
Congalton, R., & Green, K. (1998) · Mapping Science · doi:10.1201/9781420048568 · Cited by 3,424
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
Foody, G. (2010) · The Photogrammetric Record · doi:10.1111/j.1477-9730.2010.00574_2.x · Cited by 2,806
Remote Sensing Digital Image Analysis: An Introduction
Richards, J. A., & Jia, X. (2006) · Springer eBooks · doi:10.1007/3-540-29711-1 · Cited by 2,759
Ecological effects of perturbation by drought in flowing waters
Lake, P. S. (2003) · Freshwater Biology · doi:10.1046/j.1365-2427.2003.01086.x · Cited by 1,074
Analysis of Dynamic Thresholds for the Normalized Difference Water Index
Ji, L., Zhang, L., & Wylie, B. (2009) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.75.11.1307 · Cited by 827
Floods and human health: A systematic review
Alderman, K., Turner, L. R., & Tong, S. (2012) · Environment International · doi:10.1016/j.envint.2012.06.003 · Cited by 766
The impacts of drought on freshwater ecosystems: an Australian perspective
Bond, N. R., Lake, P. S., & Arthington, A. H. (2008) · Hydrobiologia · doi:10.1007/s10750-008-9326-z · Cited by 595
Cited by
Surface Water Mapping by Deep Learning
Isikdogan, F., Bovik, A. C., & Passalacqua, P. (2017) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2735443 · Cited by 292
Bonafilia, D., Tellman, B., Anderson, T., & Issenberg, E. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00113 · Cited by 295
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning
Konapala, G., Kumar, S. V., & Khalique Ahmad, S. (2021) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2021.08.016 · Cited by 209
An approach for global monitoring of surface water extent variations in reservoirs using MODIS data
Khandelwal, A., Karpatne, A., Marlier, M. E., Kim, J., Lettenmaier, D. P., & Kumar, V. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.05.039 · Cited by 197
Santamans, C. D., Cordoba, F. E., Franco, M. G., Vignoni, P., & Lupo, L. C. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.144926 · Cited by 16
Metadata
- Authors
- Feyisa, G. L., Meilby, H., Fensholt, R., & Proud, S. R.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 140
- Pages
- 23-35
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W1995581599
- Cited by
- 2,105
- References
- 30
- FWCI
- 58.27
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. https://app.cochat.ai/papers/10.1016/j.rse.2013.08.029
- The paper
- Feyisa, G. L., Meilby, H., Fensholt, R., & Proud, S. R. (2014). Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2013.08.029
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.