The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Crop yield forecasting on the Canadian Prairies using MODIS NDVI data
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Citations
Cites
Willmott, C., & Matsuura, K. (2005) · Climate Research · doi:10.3354/cr030079 · Cited by 6,512
Cited by
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
A unified vegetation index for quantifying the terrestrial biosphere
Camps-Valls, G., Campos-Taberner, M., Moreno-Martínez, Á., Walther, S., Duveiller, G., Cescatti, A., Mahecha, M. D., Muñoz-Marí, J., García-Haro, F. J., Guanter, L., et al. (2021) · Science Advances · doi:10.1126/sciadv.abc7447 · Cited by 782
An overview of current and potential applications of thermal remote sensing in precision agriculture
Khanal, S., Fulton, J., & Shearer, S. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.05.001 · Cited by 614
Johnson, D. M. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.10.027 · Cited by 433
Remote sensing of ecosystem services: A systematic review
de Araujo Barbosa, C. C., Atkinson, P. M., & Dearing, J. A. (2015) · Ecological Indicators · doi:10.1016/j.ecolind.2015.01.007 · Cited by 344
Metadata
- Authors
- Mkhabela, M. S., Bullock, P., Raj, S., Wang, S., & Yang, Y.
- Venue
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 151
- Issue
- 3
- Pages
- 385-393
- ISSN
- 0168-1923 (ISSN-L)
- OpenAlex
- W2015037454
- Cited by
- 508
- References
- 1
- FWCI
- 13.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Crop yield forecasting on the Canadian Prairies using MODIS NDVI data. https://app.cochat.ai/papers/10.1016/j.agrformet.2010.11.012
- The paper
- Mkhabela, M. S., Bullock, P., Raj, S., Wang, S., & Yang, Y. (2011). Crop yield forecasting on the Canadian Prairies using MODIS NDVI data. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2010.11.012
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.
