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1038/nature10452.
Gao, Z., Gao, W., & Chang, N.-B. (2011). Integrating temperature vegetation dryness index (TVDI)
and regional water stress index (RWSI) for drought assessment with the aid of LANDSAT
TM/ETM+ images. International Journal of Applied Earth Observation and Geoinformation,
13, 495–503. https://doi.org/10.1016/j.jag.2010.10.005.
Glenn, E. P., Neale, C. M., Hunsaker, D. J., & Nagler, P. L. (2011). Vegetation index-based crop
coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems. Hydrological Processes, 25, 4050–4062.
Gowda, P. T., Satyareddi, S. A., & Manjunath, S. B. (2014). Crop growth modeling: A review.
Research Review Journal of Agriculture and Allied Sciences, 2, 1–11.
Hielkema, J. U., & Snijders, F. (1994). Operational use of environmental satellite remote sensing
and satellite communications technology for global food security and locust control by FAO:
The ARTEMIS and DIANA systems. Acta Astronautica, 32, 603–616.
Holzman, M. E., Rivas, R., & Piccolo, M. C. (2014). Estimating soil moisture and the relationship
with crop yield using surface temperature and vegetation index. International Journal of
Applied Earth Observation and Geoinformation, 28, 181–192. https://doi.org/10.1016/j.jag.
2013.12.006.
Horie, T., Yajima, M., & Nakagawa, H. (1992). Yield forecasting. Agricultural Systems, 40,
211–236.
Huang, J., Tian, L., Liang, S., Ma, H., Becker-Reshef, I., Huang, Y., Su, W., Zhang, X., Zhu, D., &
Wu, W. (2015). Improving winter wheat yield estimation by assimilation of the leaf area index
from Landsat TM and MODIS data into the WOFOST model. Agricultural and Forest Meteorology, 204, 106–121. https://doi.org/10.1016/j.agrformet.2015.02.001.
Ines, A. V. M., Das, N. N., Hansen, J. W., & Njoku, E. G. (2013). Assimilation of remotely sensed
soil moisture and vegetation with a crop simulation model for maize yield prediction. Remote
Sensing of Environment, 138, 149–164. https://doi.org/10.1016/j.rse.2013.07.018.
Jackson, T. J., Chen, D., Cosh, M., Li, F., Anderson, M., Walthall, C., Doriaswamy, P., & Hunt,
E. R. (2004). Vegetation water content mapping using Landsat data derived normalized
difference water index for corn and soybeans. Remote Sens. Environ., 2002 Soil Moisture
Experiment (SMEX02), 92, 475–482. https://doi.org/10.1016/j.rse.2003.10.021.
Jégo, G., Pattey, E., & Liu, J. (2012). Using leaf area index, retrieved from optical imagery, in the
STICS crop model for predicting yield and biomass of field crops. Field Crops Research, 131,
63–74.
Jensen, M. E. (1968). Water consumption by agricultural plants. (Chapter 1).
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens,
P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003). The DSSAT cropping system model.
European Journal of Agronomy, 18, 235–265. https://doi.org/10.1016/S1161-0301(02)001077.
Keating, B. A., Carberry, P. S., Hammer, G. L., Probert, M. E., Robertson, M. J., Holzworth, D.,
Huth, N. I., Hargreaves, J. N., Meinke, H., Hochman, Z., & others. (2003). An overview of
APSIM, a model designed for farming systems simulation. European Journal of Agronomy, 18,
267–288.
Kogan, F., Kussul, N. N., Adamenko, T. I., Skakun, S. V., Kravchenko, A. N., Krivobok, A. A.,
Shelestov, A. Y., Kolotii, A. V., Kussul, O. M., & Lavrenyuk, A. N. (2013). Winter wheat yield
forecasting: A comparative analysis of results of regression and biophysical models. Journal of
Automation and Information Sciences, 45.
Kouadio, L., Newlands, N. K., Davidson, A., Zhang, Y., & Chipanshi, A. (2014). Assessing the
performance of MODIS NDVI and EVI for seasonal crop yield forecasting at the Ecodistrict
scale. Remote Sensing, 6, 10193–10214. https://doi.org/10.3390/rs61010193.
Lobell, D. B., & Burke, M. B. (2010). On the use of statistical models to predict crop yield
responses to climate change. Agricultural and Forest Meteorology, 150, 1443–1452. https://
doi.org/10.1016/j.agrformet.2010.07.008.
218
H. Pan and Z. Chen