The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods
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Citations
Cites
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00096-2 · Cited by 9,869
A soil-adjusted vegetation index (SAVI)
Huete, A. R. (1988) · Remote Sensing of Environment · doi:10.1016/0034-4257(88)90106-x · Cited by 7,948
Remote Sensing of the Environment: An Earth Resource Perspective
Jensen, J. R. (2000) · Cited by 2,448
Statistical Methods in the Atmospheric Sciences
Briggs, W. (. (2007) · Journal of the American Statistical Association · doi:10.1198/jasa.2007.s163 · Cited by 1,531
Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm
Murtagh, F. D., & Legendre, P. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1111.6285 · Cited by 1,247
Estimation of global leaf area index and absorbed par using radiative transfer models
Myneni, R. B., Ramakrishna, R., Nemani, R., & Running, S. W. (1997) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.649788 · Cited by 1,014
Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
Bolton, D. K., & Friedl, M. A. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2013.01.007 · Cited by 785
Model-Based Recursive Partitioning
Zeileis, A., Hothorn, T., & Hornik, K. (2008) · Journal of Computational and Graphical Statistics · doi:10.1198/106186008x319331 · Cited by 781
Crop yield forecasting on the Canadian Prairies using MODIS NDVI data
Mkhabela, M. S., Bullock, P., Raj, S., Wang, S., & Yang, Y. (2011) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2010.11.012 · Cited by 508
Crop yield estimation model for Iowa using remote sensing and surface parameters
Prasad, A. K., Chai, L., Singh, R. P., & Kafatos, M. (2006) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2005.06.002 · Cited by 469
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
Deep learning in environmental remote sensing: Achievements and challenges
Yuan, Q., Shen, H., Li, T., Li, Z., Li, S., Jiang, Y., Xu, H., Tan, W., Yang, Q., Wang, J., et al. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111716 · Cited by 1,697
Zhu, X., Cai, F., Tian, J., & Williams, T. (2018) · Remote Sensing · doi:10.3390/rs10040527 · Cited by 523
Schwalbert, R. A., Amado, T., Corassa, G., Pott, L. P., Prasad, P. V. V., & Ciampitti, I. A. (2020) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2019.107886 · Cited by 403
Rashid, M., Bari, B. S., Yusup, Y., Kamaruddin, M. A., & Khan, N. (2021) · IEEE Access · doi:10.1109/access.2021.3075159 · Cited by 369
Metadata
- Authors
- Johnson, M. D., Hsieh, W. W., Cannon, A. J., Davidson, A., & Bédard, F.
- Venue
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 218-219
- Pages
- 74-84
- ISSN
- 0168-1923 (ISSN-L)
- OpenAlex
- W2202019762
- Cited by
- 286
- References
- 19
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods. https://app.cochat.ai/papers/10.1016/j.agrformet.2015.11.003
- The paper
- Johnson, M. D., Hsieh, W. W., Cannon, A. J., Davidson, A., & Bédard, F. (2016). Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2015.11.003
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.
