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Cited by 368

The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.

Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions

Mouw, Colleen B., Greb, Steven, Aurin, Dirk, DiGiacomo, Paul M., Lee, Zhongping, Twardowski, Michael, Binding, Caren, Hu, Chuanmin, Ma, Ronghua, Moore, Timothy, Moses, Wesley, Craig, Susanne E.·2015·Remote Sensing of Environment
DOI 10.1016/j.rse.2015.02.001
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Crossref · 10.1016/j.rse.2015.02.001

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Metadata

Authors
Mouw, C. B., Greb, S., Aurin, D., DiGiacomo, P. M., Lee, Z., Twardowski, M., Binding, C., Hu, C., Ma, R., Moore, T., Moses, W., & Craig, S. E.
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
2015-04
Volume
160
Pages
15-30
ISSN
0034-4257 (ISSN-L)
DOI
10.1016/j.rse.2015.02.001
OpenAlex
W2042737933
Cited by
368
References
138
FWCI
32.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions. https://app.cochat.ai/papers/10.1016/j.rse.2015.02.001
The paper
Mouw, C. B., Greb, S., Aurin, D., DiGiacomo, P. M., Lee, Z., Twardowski, M., Binding, C., Hu, C., Ma, R., Moore, T., Moses, W., & Craig, S. E. (2015). Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2015.02.001

Data sources

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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.