The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation
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AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., et al. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00031-5 · Cited by 7,743
Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
Daughtry, C. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(00)00113-9 · Cited by 2,543
PROSPECT: A model of leaf optical properties spectra
Jacquemoud, S., & Baret, F. (1990) · Remote Sensing of Environment · doi:10.1016/0034-4257(90)90100-z · Cited by 2,400
Self-citationLight scattering by leaf layers with application to canopy reflectance modeling: The SAIL model
Verhoef, W. (1984) · Remote Sensing of Environment · doi:10.1016/0034-4257(84)90057-9 · Cited by 2,028
Introduction Neural networks in remote sensing
Atkinson, P. M., & Tatnall, A. R. L. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697218700 · Cited by 1,018
Knyazikhin, Y., Martonchik, J. V., Myneni, R. B., Diner, D. J., & Running, S. W. (1998) · Journal of Geophysical Research: Atmospheres · doi:10.1029/98jd02462 · Cited by 932
Retrieval of canopy biophysical variables from bidirectional reflectance
Combal, B., Baret, F., Weiss, M., Trubuil, A., Macé, D., Pragnère, A., Myneni, R., Knyazikhin, Y., & Wang, L. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00035-4 · Cited by 693
Self-citationDiagnosis of the Nitrogen Status in Crops
(1997) · Springer eBooks · doi:10.1007/978-3-642-60684-7 · Cited by 495
The ESA Medium Resolution Imaging Spectrometer MERIS a review of the instrument and its mission
Rast, M., Bezy, J. L., & Bruzzi, S. (1999) · International Journal of Remote Sensing · doi:10.1080/014311699212416 · Cited by 401
Inversion methods for physically‐based models
Kimes, D. S., Knyazikhin, Y., Privette, J. L., Abuelgasim, A. A., & Gao, F. (2000) · Remote Sensing Reviews · doi:10.1080/02757250009532396 · Cited by 319
Cited by
Hyperspectral remote sensing data analysis and future challenges
Bioucas-Dias, J. M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., & Chanussot, J. (2013) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2013.2244672 · Cited by 2,223
Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmara, H., Pacholcyzk, P., & Smets, B. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.027 · Cited by 585
Self-citationLEMAIRE, G., FRANCOIS, C., SOUDANI, K., BERVEILLER, D., PONTAILLER, J., BREDA, N., GENET, H., DAVI, H., & DUFRENE, E. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.06.005 · Cited by 512
Verrelst, J., Rivera, J. P., Veroustraete, F., Muñoz-Marí, J., Clevers, J. G. P. W., Camps-Valls, G., & Moreno, J. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.04.013 · Cited by 395
Wang, J., Xiao, X., Bajgain, R., Starks, P., Steiner, J., Doughty, R. B., & Chang, Q. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.06.007 · Cited by 322
Metadata
- Authors
- Bacour, C., Baret, F., Béal, D., Weiss, M., & Pavageau, K.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 105
- Issue
- 4
- Pages
- 313-325
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2131126673
- Cited by
- 417
- References
- 19
- FWCI
- 12.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation. https://app.cochat.ai/papers/10.1016/j.rse.2006.07.014
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- Bacour, C., Baret, F., Béal, D., Weiss, M., & Pavageau, K. (2006). Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2006.07.014
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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.