References
Arvor, D., Jonathan, M., Meirelles, M. S. P., Dubreuil, V., & Durieux, L. (2011). Classification of
MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. International
Journal of Remote Sensing, 32, 7847–7871. https://doi.org/10.1080/01431161.2010.531783.
Basso, B., Cammarano, D., & Carfagna, E. (2013). Review of crop yield forecasting methods and
early warning systems. In Proceedings of the first meeting of the scientific advisory Committee
of the Global Strategy to improve agricultural and rural statistics, FAO Headquarters, Rome,
Italy. pp. 18–19.
Bastiaanssen, W. G. M., & Ali, S. (2003). A new crop yield forecasting model based on satellite
measurements applied across the Indus Basin, Pakistan. Agriculture, Ecosystems & Environment, 94, 321–340. https://doi.org/10.1016/S0167-8809(02)00034-8.
Bennett, E. J., Brignell, C. J., Carion, P. W. C., Cook, S. M., Eastmond, P. J., Teakle, G. R.,
Hammond, J. P., Love, C., King, G. J., Roberts, J. A., & Wagstaff, C. (2017). Development of a
statistical crop model to explain the relationship between seed yield and phenotypic diversity
within the Brassica napus genepool. Agronomy, 7, 31. https://doi.org/10.3390/
agronomy7020031.
Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M. H., Ruget, F., Nicoullaud, B., Gate, P., DevienneBarret, F., Antonioletti, R., Durr, C., & others. (1998). STICS: A generic model for the
simulation of crops and their water and nitrogen balances. I. Theory and parameterization
applied to wheat and corn. Agronomie, 18, 311–346.
Brown, M., De Beurs, K., & Marshall, M. (2012). Global phenological response to climate change
in crop areas using satellite remote sensing of vegetation, humidity and temperature over
26years. Remote Sensing of Environment, 126, 174–183.
Casanova, D., Epema, G. F., & Goudriaan, J. (1998). Monitoring rice reflectance at field level for
estimating biomass and LAI. Field Crops Research, 55, 83–92. https://doi.org/10.1016/S03784290(97)00064-6.
Claverie, M., Demarez, V., Duchemin, B., Hagolle, O., Keravec, P., Marciel, B., Ceschia, E.,
Dejoux, J. F., & Dedieu, G. (2009). Spatialization of crop leaf area index and biomass by
combining a simple crop model SAFY and high spatial and temporal resolutions remote sensing
data. In 2009 IEEE international geoscience and remote sensing symposium. Presented at the
2009 IEEE International Geoscience and Remote Sensing Symposium, p. III-478-III-481.
https://doi.org/10.1109/IGARSS.2009.5418296
Dash, J., & Curran, P. J. (2004). Evaluation of the MERIS terrestrial chlorophyll index. In
Geoscience and remote sensing symposium, 2004. IGARSS’04. Proceedings. 2004 IEEE
international. IEEE.
de Wit, A. J. W., & van Diepen, C. A. (2007). Crop model data assimilation with the ensemble
Kalman filter for improving regional crop yield forecasts. Agricultural and Forest Meteorology,
146, 38–56. https://doi.org/10.1016/j.agrformet.2007.05.004.
de Wit, A. J. W., & van Diepen, C. A. (2008). Crop growth modelling and crop yield forecasting
using satellite-derived meteorological inputs. International Journal of Applied Earth Observation and Geoinformation, Modern Methods in Crop Yield Forecasting and Crop Area Estimation, 10, 414–425. https://doi.org/10.1016/j.jag.2007.10.004.
Eitzinger, J., Trnka, M., Hösch, J., Žalud, Z., & Dubrovský, M. (2004). Comparison of CERES,
WOFOST and SWAP models in simulating soil water content during growing season under
different soil conditions. Ecological Modelling, 171, 223–246. https://doi.org/10.1016/j.
ecolmodel.2003.08.012.
Fang, H., Liang, S., Hoogenboom, G., Teasdale, J., & Cavigelli, M. (2008). Corn-yield estimation
through assimilation of remotely sensed data into the CSM-CERES-Maize model. International
Journal of Remote Sensing, 29, 3011–3032. https://doi.org/10.1080/01431160701408386.
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller,
N. D., O’Connell, C., Ray, D. K., West, P. C., Balzer, C., Bennett, E. M., Carpenter, S. R., Hill,
J., Monfreda, C., Polasky, S., Rockström, J., Sheehan, J., Siebert, S., Tilman, D., & Zaks,
11 Crop Growth Modeling and Yield Forecasting
217
Arvor, D., Jonathan, M., Meirelles, M. S. P., Dubreuil, V., & Durieux, L. (2011). Classification of
MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. International
Journal of Remote Sensing, 32, 7847–7871. https://doi.org/10.1080/01431161.2010.531783.
Basso, B., Cammarano, D., & Carfagna, E. (2013). Review of crop yield forecasting methods and
early warning systems. In Proceedings of the first meeting of the scientific advisory Committee
of the Global Strategy to improve agricultural and rural statistics, FAO Headquarters, Rome,
Italy. pp. 18–19.
Bastiaanssen, W. G. M., & Ali, S. (2003). A new crop yield forecasting model based on satellite
measurements applied across the Indus Basin, Pakistan. Agriculture, Ecosystems & Environment, 94, 321–340. https://doi.org/10.1016/S0167-8809(02)00034-8.
Bennett, E. J., Brignell, C. J., Carion, P. W. C., Cook, S. M., Eastmond, P. J., Teakle, G. R.,
Hammond, J. P., Love, C., King, G. J., Roberts, J. A., & Wagstaff, C. (2017). Development of a
statistical crop model to explain the relationship between seed yield and phenotypic diversity
within the Brassica napus genepool. Agronomy, 7, 31. https://doi.org/10.3390/
agronomy7020031.
Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M. H., Ruget, F., Nicoullaud, B., Gate, P., DevienneBarret, F., Antonioletti, R., Durr, C., & others. (1998). STICS: A generic model for the
simulation of crops and their water and nitrogen balances. I. Theory and parameterization
applied to wheat and corn. Agronomie, 18, 311–346.
Brown, M., De Beurs, K., & Marshall, M. (2012). Global phenological response to climate change
in crop areas using satellite remote sensing of vegetation, humidity and temperature over
26years. Remote Sensing of Environment, 126, 174–183.
Casanova, D., Epema, G. F., & Goudriaan, J. (1998). Monitoring rice reflectance at field level for
estimating biomass and LAI. Field Crops Research, 55, 83–92. https://doi.org/10.1016/S03784290(97)00064-6.
Claverie, M., Demarez, V., Duchemin, B., Hagolle, O., Keravec, P., Marciel, B., Ceschia, E.,
Dejoux, J. F., & Dedieu, G. (2009). Spatialization of crop leaf area index and biomass by
combining a simple crop model SAFY and high spatial and temporal resolutions remote sensing
data. In 2009 IEEE international geoscience and remote sensing symposium. Presented at the
2009 IEEE International Geoscience and Remote Sensing Symposium, p. III-478-III-481.
https://doi.org/10.1109/IGARSS.2009.5418296
Dash, J., & Curran, P. J. (2004). Evaluation of the MERIS terrestrial chlorophyll index. In
Geoscience and remote sensing symposium, 2004. IGARSS’04. Proceedings. 2004 IEEE
international. IEEE.
de Wit, A. J. W., & van Diepen, C. A. (2007). Crop model data assimilation with the ensemble
Kalman filter for improving regional crop yield forecasts. Agricultural and Forest Meteorology,
146, 38–56. https://doi.org/10.1016/j.agrformet.2007.05.004.
de Wit, A. J. W., & van Diepen, C. A. (2008). Crop growth modelling and crop yield forecasting
using satellite-derived meteorological inputs. International Journal of Applied Earth Observation and Geoinformation, Modern Methods in Crop Yield Forecasting and Crop Area Estimation, 10, 414–425. https://doi.org/10.1016/j.jag.2007.10.004.
Eitzinger, J., Trnka, M., Hösch, J., Žalud, Z., & Dubrovský, M. (2004). Comparison of CERES,
WOFOST and SWAP models in simulating soil water content during growing season under
different soil conditions. Ecological Modelling, 171, 223–246. https://doi.org/10.1016/j.
ecolmodel.2003.08.012.
Fang, H., Liang, S., Hoogenboom, G., Teasdale, J., & Cavigelli, M. (2008). Corn-yield estimation
through assimilation of remotely sensed data into the CSM-CERES-Maize model. International
Journal of Remote Sensing, 29, 3011–3032. https://doi.org/10.1080/01431160701408386.
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller,
N. D., O’Connell, C., Ray, D. K., West, P. C., Balzer, C., Bennett, E. M., Carpenter, S. R., Hill,
J., Monfreda, C., Polasky, S., Rockström, J., Sheehan, J., Siebert, S., Tilman, D., & Zaks,
11 Crop Growth Modeling and Yield Forecasting
217