The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements
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Citations
Cites
PLS-regression: a basic tool of chemometrics
Wold, S., Sjöström, M., & Eriksson, L. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00155-1 · Cited by 10,084
World Reference Base for Soil Resources
Driessen, P., Nachtergaele, F., Spaargaren, O., & Seppe Deckers, J. (2005) · Encyclopedia of Soil Science, Second Edition · doi:10.1201/noe0849338304.ch410 · Cited by 7,248
The World Reference Base for Soil Resources
Spaargaren, O. C., & Deckers, J. (1998) · Soils of Tropical Forest Ecosystems · doi:10.1007/978-3-662-03649-5_2 · Cited by 5,571
McBratney, A. B., Mendonça Santos, M. L., & Minasny, B. (2003) · Geoderma · doi:10.1016/s0016-7061(03)00223-4 · Cited by 3,651
A Statistical View of Some Chemometrics Regression Tools
Frank, L. E., & Friedman, J. H. (1993) · Technometrics · doi:10.1080/00401706.1993.10485033 · Cited by 2,213
Viscarra Rossel, R. A., Walvoort, D. J. J., McBratney, A. B., Janik, L. J., & Skjemstad, J. O. (2006) · Geoderma · doi:10.1016/j.geoderma.2005.03.007 · Cited by 2,165
Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications
Clark, R. N., & Roush, T. L. (1984) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb089ib07p06329 · Cited by 2,055
Near‐Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties
Chang, C.-W., Laird, D. A., Mausbach, M. J., & Hurburgh, C. R. (2001) · Soil Science Society of America Journal · doi:10.2136/sssaj2001.652480x · Cited by 1,926
Aggregate stability and assessment of soil crustability and erodibility: I. Theory and methodology
LE BISSONNAIS, Y. (1996) · European Journal of Soil Science · doi:10.1111/j.1365-2389.1996.tb01843.x · Cited by 1,503
Using Soil Survey Data for Quantitative Land Evaluation
Bouma, J. (1989) · Advances in Soil Science · doi:10.1007/978-1-4612-3532-3_4 · Cited by 822
Cited by
Modeling Soil Processes: Review, Key Challenges, and New Perspectives
Vereecken, H., Schnepf, A., Hopmans, J. W., Javaux, M., Or, D., Roose, T., Vanderborght, J., Young, M. H., Amelung, W., Aitkenhead, M., et al. (2016) · Vadose Zone Journal · doi:10.2136/vzj2015.09.0131 · Cited by 833
Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review
Angelopoulou, T., Tziolas, N., Balafoutis, A., Zalidis, G., & Bochtis, D. (2019) · Remote Sensing · doi:10.3390/rs11060676 · Cited by 382
Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS)
Cécillon, L., Barthès, B. G., Gomez, C., Ertlen, D., Genot, V., Hedde, M., Stevens, A., & Brun, J. J. (2009) · European Journal of Soil Science · doi:10.1111/j.1365-2389.2009.01178.x · Cited by 247
Schmid, T., Rodriguez-Rastrero, M., Escribano, P., Palacios-Orueta, A., Ben-Dor, E., Plaza, A., Milewski, R., Huesca, M., Bracken, A., Cicuendez, V., et al. (2016) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2015.2462125 · Cited by 49
Metadata
- Authors
- Lagacherie, P., Baret, F., Feret, J.-B., Madeira Netto, J., & Robbez-Masson, J. M.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 112
- Issue
- 3
- Pages
- 825-835
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2058311689
- Cited by
- 295
- References
- 21
- FWCI
- 11.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Lagacherie, P., Baret, F., Feret, J.-B., Madeira Netto, J., & Robbez-Masson, J. M. (2008). Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2007.06.014
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.
