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Combining agricultural crop models and satellite observations: From field to regional scales
Abstract
This review article gives an overview of how satellite observations are used to feed or tune crop models and improve their capability to predict crop yields in a region. Relations between crop characteristics which correspond to models state variables and satellite observations are briefly analysed, together with the various types of crop models commonly used. Various strategies for introducing short wavelength radiometric information into specific crop models are described, from direct update of model state variables to optimization of model parameter values, and some of them are exemplified. Methods to unmix crop-specific information from mixed pixels in coarse resolution-high frequency imagery are analysed. The conditions of use of the various methods and types of information are discussed.
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Citations
Cited by
Remote sensing for agricultural applications: A meta-review
Weiss, M., Jacob, F., & Duveiller, G. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111402 · Cited by 1,877
Implementing Precision Agriculture in the 21st Century
Stafford, J. V. (2000) · Journal of Agricultural Engineering Research · doi:10.1006/jaer.2000.0577 · Cited by 572
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
Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence
Guan, K., Berry, J. A., Zhang, Y., Joiner, J., Guanter, L., Badgley, G., & Lobell, D. B. (2016) · Global Change Biology · doi:10.1111/gcb.13136 · Cited by 334
Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties
Lobell, D. B., Asner, G. P., Ortiz-Monasterio, J. I., & Benning, T. L. (2003) · Agriculture, Ecosystems & Environment · doi:10.1016/s0167-8809(02)00021-x · Cited by 328
Metadata
- Authors
- Moulin, S., Bondeau, A., & Delecolle, R.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1998-01
- Volume
- 19
- Issue
- 6
- Pages
- 1021-1036
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2153598078
- Cited by
- 385
- References
- 0
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Combining agricultural crop models and satellite observations: From field to regional scales. https://app.cochat.ai/papers/10.1080/014311698215586
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- Moulin, S., Bondeau, A., & Delecolle, R. (1998). Combining agricultural crop models and satellite observations: From field to regional scales. International Journal of Remote Sensing. https://doi.org/10.1080/014311698215586
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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.
