References
- Ahmad, S., A. Kalra, and H. Stephen. 2010. “Estimating Soil Moisture Using Remote Sensing Data: A Machine Learning Approach.” Advances in Water Resources 33 (1): 69. doi:https://doi.org/10.1016/j.advwatres.2009.10.008.
- Alebele, Y., X. Zhang, W. Wang, G. Yang, X. Yao, H. Zheng, Y. Zhu, W. Cao, and T. Cheng. 2020. “Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking.” Remote Sensing 12 (16): 2564. doi:https://doi.org/10.3390/rs12162564.
- Allen, R. G., L. S. Pereira, D. Raes, and M. Smith. 1998. “Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56.” FAO, Rome 300 (9): D05109.
- Ayehu, G., T. Tadesse, B. Gessesse, Y. Yigrem, and A. Melesse. 2020. “Combined Use of Sentinel-1 SAR and Landsat Sensors Products for Residual Soil Moisture Retrieval Over Agricultural Fields in the Upper Blue Nile Basin, Ethiopia.” Sensors 20 (11): 3282. doi:https://doi.org/10.3390/s20113282.
- Baez-Gonzalez, A. D., J. R. Kiniry, M. N. Meki, J. Williams, M. Alvarez-Cilva, J. L. Ramos-Gonzalez, A. Magallanes-Estala, and G. Zapata-Buenfil. 2017. “Crop Parameters for Modeling Sugarcane Under Rainfed Conditions in Mexico.” Sustainability 9 (8): 1337. doi:https://doi.org/10.3390/su9081337.
- Baup, F., R. Fieuzal, and J. Betbeder. 2015. “Estimation of Soybean Yield from Assimilated Optical and Radar Data into a Simplified Agrometeorological Model.” 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3961.
- Becker-Reshef, I., E. Vermote, M. Lindeman, and C. Justice. 2010. “A Generalized Regression-Based Model for Forecasting Winter Wheat Yields in Kansas and Ukraine Using MODIS Data.” Remote Sensing of Environment 114 (6): 1312. doi:https://doi.org/10.1016/j.rse.2010.01.010.
- Betbeder, J., R. Fieuzal, and F. Baup. 2016. “Assimilation of LAI and Dry Biomass Data from Optical and SAR Images into an Agro-Meteorological Model to Estimate Soybean Yield.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (6): 2540. doi:https://doi.org/10.1109/JSTARS.2016.2541169.
- Capodici, F., G. D’-Urso, and A. Maltese. 2013. “Investigating the Relationship Between X- Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection.” Remote Sensing 5 (3): 1389. doi:https://doi.org/10.3390/rs5031389.
- Clevers, J. G. P. W. and H. J. C. Van Leeuwen. 1996. “Combined Use of Optical and Microwave Remote Sensing Data for Crop Growth Monitoring.” Remote Sensing of Environment 56 (1): 42. doi:https://doi.org/10.1016/0034-4257(95)00227-8.
- Curnel, Y., A. de Wit, G. Duveiller, and P. Defourny. 2011. “Potential Performances of Remotely Sensed LAI Assimilation in WOFOST Model Based on an OSS Experiment.” Agricultural and Forest Meteorology 151 (12): 1843. doi:https://doi.org/10.1016/j.agrformet.2011.08.002.
- da Silva, V. S. G., M. W. de Oliveira, T. B. A. Oliveira, B. C. Mantovanelli, A. C. I. da Silva, A. N. R. Soares, and P. R. A. I. Clemente. 2017. “Leaf Area of Sugarcane Varieties and Their Correlation with Biomass Productivity in Three Cycles.” African Journal of Agricultural Research 12 (7): 459.
- de Wit, A. and C. A. van Diepen. 2007. “Crop Model Data Assimilation with the Ensemble Kalman Filter for Improving Regional Crop Yield Forecasts.” Agricultural and Forest Meteorology 146 (1–2): 38. doi:https://doi.org/10.1016/j.agrformet.2007.05.004.
- de Wit, A., G. Duveiller, and P. Defourny. 2012. “Estimating Regional Winter Wheat Yield with WOFOST Through the Assimilation of Green Area Index Retrieved from MODIS Observations.” Agricultural and Forest Meteorology 164: 39. doi:https://doi.org/10.1016/j.agrformet.2012.04.011.
- de Wit, A., H. Boogaard, D. Fumagalli, S. Janssen, R. Knapen, D. van Kraalingen, I. Supit, R. van der Wijngaart, and K. van Diepen. 2019. “25 Years of the WOFOST Cropping Systems Model.” Agricultural Systems 168: 54. doi:https://doi.org/10.1016/j.agsy.2018.06.018.
- Degefa, S. and O. Saito. 2017. “Assessing the Impacts of Large-Scale Agro-Industrial Sugarcane Production on Biodiversity: A Case Study of Wonji Shoa Sugar Estate, Ethiopia.” Agriculture 7 (12): 99. doi:https://doi.org/10.3390/agriculture7120099.
- Delecolle, R., S. J. Maas, M. Guerif, and F. Baret. 1992. “Remote Sensing and Crop Production Models: Present Trends.” ISPRS Journal of Photogrammetry and Remote Sensing 47 (2–3): 145. doi:https://doi.org/10.1016/0924-2716(92)90030-D.
- Dente, L., G. Satalino, F. Mattia, and M. Rinaldi. 2008. “Assimilation of Leaf Area Index Derived from ASAR and MERIS Data into CERES-Wheat Model to Map Wheat Yield.” Remote Sensing of Environment 112 (4): 1395. doi:https://doi.org/10.1016/j.rse.2007.05.023.
- Dong, T., J. Liu, B. Qian, T. Zhao, Q. Jing, X. Y. Geng, J. F. Wang, T. Huffman, and J. L. Shang. 2016. “Estimating Winter Wheat Biomass by Assimilating Leaf Area Index Derived from Fusion of Landsat-8 and MODIS Data.” International Journal of Applied Earth Observation and Geoinformation 49: 63. doi:https://doi.org/10.1016/j.jag.2016.02.001.
- Dorigo, W. A., R. Zurita-Milla, A. J. W. de Wit, J. Brazile, R. Singh, and M. E. Schaepman. 2007. “A Review on Reflective Remote Sensing and Data Assimilation Techniques for Enhanced Agroecosystem Modeling.” International Journal of Applied Earth Observation and Geoinformation 9 (2): 165. doi:https://doi.org/10.1016/j.jag.2006.05.003.
- Evensen, G. 2003. “The Ensemble Kalman Filter: Theoretical Formulation and Practical Implementation.” Ocean Dynamics 53 (4): 343. doi:https://doi.org/10.1007/s10236-003-0036-9.
- Fang, H., S. Liang, and G. Hoogenboom. 2011. “Integration of MODIS LAI and Vegetation Index Products with the Csm–ceres–maize Model for Corn Yield Estimation.” International Journal of Remote Sensing 32 (4): 1039. doi:https://doi.org/10.1080/01431160903505310.
- Fang, H., S. Liang, G. Hoogenboom, J. Teasdale, and M. Cavigelli. 2008. “Corn Yield Estimation Through Assimilation of Remotely Sensed Data into the CSM-CERES-Maize Model.” International Journal of Remote Sensing 29 (10): 3011. doi:https://doi.org/10.1080/01431160701408386.
- Fieuzal, R. and F. Baup. 2015. “Estimation of Sunflower Yield Using Multi-Spectral Satellite Data (Optical or Radar) in a Simplified Agro-Meteorological Model.” 2015 IEEE International Geoscience and RemoteSensing Symposium (IGARSS), 4001.
- Filipponi, F. 2019. “Sentinel-1 GRD Preprocessing Workflow.” Multidisciplinary Digital Publishing Institute Proceedings 18 (1): 11.
- Gao, S., Z. Niu, N. Huang, and X. Hou. 2013. “Estimating the Leaf Area Index, Height and Biomass of Maize Using HJ-1 and RADARSAT-2.” International Journal of Applied Earth Observation and Geoinformation 24: 1. doi:https://doi.org/10.1016/j.jag.2013.02.002.
- Girma, M. M. and S. B. Awulachew. 2007. “Irrigation Practices in Ethiopia: Characteristics of Selected Irrigation Strategies.” Vol. 124. IWMI.
- Gitelson, A. A., Y. J. Kaufman, and M. N. Merzlyak. 1996. “Use of a Green Channel in Remote Sensing of Global Vegetation from EOS-MODIS.” Remote Sensing of Environment 58 (3): 289. doi:https://doi.org/10.1016/S0034-4257(96)00072-7.
- Henrich, V., A. Jung, C. Götze, C. Sandow, D. Thürkow, and C. Gläßer. 2009. “Development of an Online Indices Database: Motivation, Concept and Implementation.” 6th EARSeL Imaging Spectroscopy.
- Hu, S., L. Shi, K. Huang, Y. Zha, X. Hu, H. Ye, and Q. Yang. 2019. “Improvement of Sugarcane Crop Simulation by SWAP-WOFOST Model via Data Assimilation.” Field Crops Research 232: 49. doi:https://doi.org/10.1016/j.fcr.2018.12.009.
- Huang, J., F. Sedano, Y. Huang, H. Ma, X. Li, S. Liang, L. Tian, X. Zhang, J. Fan, and W. Wu. 2016. “Assimilating a Synthetic Kalman Filter Leaf Area Index Series into the WOFOST Model to Improve Regional Winter Wheat Yield Estimation.” Agricultural and Forest Meteorology 216: 188. doi:https://doi.org/10.1016/j.agrformet.2015.10.013.
- Huang, J., J. L. Gómez-Dans, H. Huang, H. Ma, Q. Wu, P. E. Lewis, S. Liang et al.2019. “Assimilation of Remote Sensing into Crop Growth Models: Current Status and Perspectives.” Agricultural and Forest Meteorology 276-277 (17): 107609. doi:https://doi.org/10.1016/j.agrformet.2019.06.008.
- Huang, J., L. Tian, S. Liang, H. Ma, I. Becker-Reshef, Y. Huang, W. Su, X. Zhang, D. Zhu, and W. Wu. 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. doi:https://doi.org/10.1016/j.agrformet.2015.02.001.
- Ines, A. V., N. N. Das, J. W. Hansen, and E. G. Njoku. 2013. “Assimilation of Remotely Sensed Soil Moisture and Vegetation with a Crop Simulation Model for Maize Yield Prediction.” Remote Sensing of Environment 138: 149. doi:https://doi.org/10.1016/j.rse.2013.07.018.
- Inman-Bamber, N. G., P. A. Jackson, C. J. Stokes, S. Verrall, P. Lakshmanan, and J. Basnayake. 2016. “Sugarcane for Water-Limited Environments: Enhanced Capability of the APSIM Sugarcane Model for Assessing Traits for Transpiration Efficiency and Root Water Supply.” Field Crops Research 196: 112. doi:https://doi.org/10.1016/j.fcr.2016.06.013.
- Irons, J.R., J.L. Dwyer, and J.A. Barsi. 2012. “The next Landsat satellite: the Landsat data continuity mission.” Remote Sensing of Environment 122:11–21.
- Jégo, G., E. Pattey, and J. Liu. 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. doi:https://doi.org/10.1016/j.fcr.2012.02.012.
- Jiang, Z., Z. Chen, J. Chen, J. Ren, Z. Li, and L. Sun. 2014. “The Estimation of Regional Crop Yield Using Ensemble-Based Four-Dimensional Variational Data Assimilation.” Remote Sensing 6 (4): 2664. doi:https://doi.org/10.3390/rs6042664.
- Jin, X. L., W. Y. Diao, C. H. Xiao, F. Y. Wang, B. Chen, K. R. Wang, and S. K. Li. 2013. “Estimation of Wheat Agronomic Parameters Using New Spectral Indices.” PLoS One 8 (8): e72736. doi:https://doi.org/10.1371/journal.pone.0072736.
- Jin, X., G. Yang, X. Xu, H. Yang, H. Feng, Z. Li, J. Shen, Y. Lan, and C. Zhao. 2015. “Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data.” Remote Sensing 7 (10): 13251. doi:https://doi.org/10.3390/rs71013251.
- Jin, X., L. Kumar, Z. Li, H. Feng, X. Xu, G. Yang, and J. Wang. 2018. “A Review of Data Assimilation of Remote Sensing and Crop Models.” European Journal of Agronomy 92: 141. doi:https://doi.org/10.1016/j.eja.2017.11.002.
- Jin, X., L. Kumar, Z. Li, X. Xu, G. Yang, and J. Wang. 2016. “Estimation of Winter Wheat Biomass and Yield by Combining the Aquacrop Model and Field Hyperspectral Data.” Remote Sensing 8 (12): 972. doi:https://doi.org/10.3390/rs8120972.
- Jin, X., Z. Li, G. Yang, H. Yang, H. Feng, X. Xu, J. Wang, X. Li, and J. Luo. 2017. “Winter Wheat Yield Estimation Based on Multi-Source Medium Resolution Optical and Radar Imaging Data and the AquaCrop Model Using the Particle Swarm Optimization Algorithm.” ISPRS Journal of Photogrammetry and Remote Sensing 126: 24. doi:https://doi.org/10.1016/j.isprsjprs.2017.02.001.
- Koppe, W., M. L. Gnyp, C. Hütt, Y. Yao, Y. Miao, X. Chen, and G. Bareth. 2013. “Rice Monitoring with Multi-Temporal and Dual-Polarimetric Terra SAR-X Data.” International Journal of Applied Earth Observation and Geoinformation 21: 568. doi:https://doi.org/10.1016/j.jag.2012.07.016.
- Koppe, W., M. L. Gnyp, S. D. Hennig, F. Li, Y. Miao, X. Chen, L. Jia, and G. Bareth. 2012. “Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat Biomass in the North China Plain.” Photogrammetrie - Fernerkundung - Geoinformation 2012 (3): 281. doi:https://doi.org/10.1127/1432-8364/2012/0117.
- Launay, M. and M. Guerif. 2005. “Assimilating Remote Sensing Data into a Crop Model to Improve Predictive Performance for Spatial Applications.” Agriculture, Ecosystems & Environment 111 (1–4): 321. doi:https://doi.org/10.1016/j.agee.2005.06.005.
- Li, X., Y. Zhang, J. Luo, X. Jin, Y. Xu, and W. Yang. 2016. “Quantification Winter Wheat LAI with HJ-1CCD Image Features Over Multiple Growing Seasons.” International Journal of Applied Earth Observation and Geoinformation : ITC Journal 44: 104.
- Li, Y., Q. G. Zhou, J. Zhou, G. F. Zhang, C. Chen, and J. Wang. 2014. “Assimilating Remote Sensing Information into a Coupled Hydrology-Crop Growth Model to Estimate Regional Maize Yield in Arid Regions.” Ecological Modelling 291: 15. doi:https://doi.org/10.1016/j.ecolmodel.2014.07.013.
- Li, Z., J. Wang, X. Xu, C. Zhao, X. Jin, G. Yang, and H. Feng. 2015. “Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation.” Remote Sensing 7 (9): 12400. doi:https://doi.org/10.3390/rs70912400.
- Liang, S. and J. Qin. 2008. “Data Assimilation Methods for Land Surface Variable Estimation.” In S. Liang (Ed.), Advances in Land Remote Sensing, p. 313. Dordrecht: Springer.
- Liu, H. Q. and A. R. Huete. 1995. “A Feedback Based Modification of the NDVI to Minimize Canopy Background and Atmospheric Noise.” IEEE Transactions on Geoscience and Remote Sensing 33 (2): 457. doi:https://doi.org/10.1109/TGRS.1995.8746027.
- Liu, J. E. P., J. R. Miller, A. McNairn, H. Smith, and B. Hu. 2010. “Estimating Crop Stresses, Aboveground Dry Biomass and Yield of Corn Using Multi-Temporal Optical Data Combined with a Radiation Use Efficiency Model.” Remote Sensing of Environment 114 (6): 1167. doi:https://doi.org/10.1016/j.rse.2010.01.004.
- Liu, J., E. Pattey, and G. Jégo. 2012. “Assessment of Vegetation Indices for Regional Crop Green LAI Estimation from Landsat Images Over Multiple Growing Seasons.” Remote Sensing of Environment 123: 347. doi:https://doi.org/10.1016/j.rse.2012.04.002.
- Luo, P., J. Liao, and G. Shen. 2020. “Combining Spectral and Texture Features for Estimating Leaf Area Index and Biomass of Maize Using Sentinel-1/2, and Landsat-8 Data.” IEEE Access 8: 53614. doi:https://doi.org/10.1109/ACCESS.2020.2981492.
- Ma, G., J. Huang, W. Wu, J. Fan, J. Zou, and S. Wu. 2013. “Assimilation of MODIS-LAI into the WOFOST Model for Forecasting Regional Winter Wheat Yield.” Mathematical and Computer Modelling 58 (3–4): 634. doi:https://doi.org/10.1016/j.mcm.2011.10.038.
- Maas, S. J. 1988. “Using Satellite Data to Improve Model Estimates of Crop Yield.” Agronomy Journal 80 (4): 655. doi:https://doi.org/10.2134/agronj1988.00021962008000040021x.
- Mandal, D., V. Kumar, D. Ratha, S. Dey, A. Bhattacharya, J. M. Lopez-Sanchez, H. Mcnairn, and Y. S. Rao. 2020. “Dual Polarimetric Radar Vegetation Index for Crop Growth Monitoring Using Sentinel-1 SAR Data.” Remote Sensing of Environment 247: 111954. doi:https://doi.org/10.1016/j.rse.2020.111954.
- Marshall, M., P. Thenkabail, T. Biggs, and K. Post. 2016. “Hyperspectral Narrowband and Multispectral Broadband Indices for Remote Sensing of Crop Evapotranspiration and Its Components (Transpiration and Soil Evaporation).” Agricultural and Forest Meteorology 218: 122. doi:https://doi.org/10.1016/j.agrformet.2015.12.025.
- Miller, P. A. 1972. “Remote Mapping of Standing Crop Biomass for Estimation of the Productivity of the Short-Grass Prairie, Pawnee National Grasslands, Colorado.” 8th International Symposium on Remote Sensing of Environment, 1357).
- Mokhtari, A., H. Noory, and M. Vazifedoust. 2018. “Improving Crop Yield Estimation by Assimilating LAI and Inputting Satellite- Based Surface Incoming Solar Radiation into SWAP Model.” Agricultural and Forest Meteorology 250-251: 159. doi:https://doi.org/10.1016/j.agrformet.2017.12.250.
- Morel, J., A. Bégué, P. Todoroff, J. Martine, V. Lebourgeois, and M. Petit. 2014. “Coupling a Sugarcane Crop Model with the Remotely Sensed Time Series of fIpar to Optimise the Yield Estimation.” European Journal of Agronomy 61: 60. doi:https://doi.org/10.1016/j.eja.2014.08.004.
- Moulin, S., A. Bondeau, and R. Dele’-Colle. 1998. “Combining Agricultural Crop Models and Satellite Observations: From Field to Regional Scales.” International Journal of Remote Sensing 19 (6): 1021. doi:https://doi.org/10.1080/014311698215586.
- Mutanga, O. and A. K. Skidmore. 2004. “Narrow Band Vegetation Indices Overcome the Saturation Problem in Biomass Estimation.” International Journal of Remote Sensing 25 (19): 3999. doi:https://doi.org/10.1080/01431160310001654923.
- Nasirzadehdizaji, R., F. Balik Sanli, S. Abdikan, Z. Cakir, A. Sekertekin, and M. Ustuner. 2019. “Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage.” Applied Sciences 9 (4): 655. doi:https://doi.org/10.3390/app9040655.
- Nearing, G. S., W. Crow, K. Thorp, M. Moran, R. Reichle, and H. Gupta. 2012. “Assimilating Remote Sensing Observations of Leaf Area Index and Soil Moisture for Wheat Yield Estimates: An Observing System Simulation Experiment.” Water Resources Research 48 (5): 213. doi:https://doi.org/10.1029/2011WR011420.
- Nuthammachot, N., A. Askar, and D. Stratoulias. 2020. “Combined Use of Sentinel-1 and Sentinel-2 Data for Improving Above-Ground Biomass Estimation.” Geocarto International 1. doi:https://doi.org/10.1080/10106049.2020.1726507.
- Pan, H., Z. Chen, A. de Wit, and J. Ren. 2019. “Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation.” Sensors 19 (14): 3161. doi:https://doi.org/10.3390/s19143161.
- Roujean, J. L. and F. M. Breon. 1995. “Estimating PAR Absorbed by Vegetation from Bidirectional Reflectance Measurements.” Remote Sensing of Environment 51 (3): 375. doi:https://doi.org/10.1016/0034-4257(94)00114-3.
- Rouse, J. W., R. H. Haas, J. A. Schell, D. W. Deering, and J. C. Harlan. 1974. “Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation.” NASA/GSFC Type III Final Report, Greenbelt, Md 371.
- Roy, D. P., H. Huang, L. Boschetti, L. Giglio, L. Yan, and H. H. Zhang. 2019. “Landsat-8 and Sentinel-2 Burned Area Mapping - A Combined Sensor Multi- Temporal Change Detection Approach.” Remote Sensing of Environment 231: 111254. doi:https://doi.org/10.1016/j.rse.2019.111254.
- Shao, Y., X. Fan, H. Liu, J. Xiao, S. Ross, B. Brisco, R. Brown, and G. Staples. 2001. “Rice Monitoring and Production Estimation Using Multitemporal RADARSAT.” Remote Sensing of Environment 76 (3): 310. doi:https://doi.org/10.1016/S0034-4257(00)00212-1.
- Sharifi, A. and M. Hosseingholizadeh. 2020. “Application of Sentinel-1 Data to Estimate Height and Biomass of Rice Crop in Astaneh-Ye Ashrafiyeh, Iran.” Journal of the Indian Society of Remote Sensing 48 (1): 11. doi:https://doi.org/10.1007/s12524-019-01057-8.
- Torbick, N., D. Chowdhury, W. Salas, and J. Qi. 2017. “Monitoring Rice Agriculture Across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2.” Remote Sensing 9 (2): 119. doi:https://doi.org/10.3390/rs9020119.
- van Heemst, H. 1988. “Plant Data Values Required for Simple and Universal Simulation Models: Review and Bibliography.” Simulation reports CABO-TT.
- Vazifedoust, M., J. C. Van Dam, W. G. M. Bastiaanssen, and R. A. Feddes. 2009. “Assimilation of Satellite Data into Agrohydrological Models to Improve Crop Yield Forecasts.” International Journal of Remote Sensing 30 (10): 2523. doi:https://doi.org/10.1080/01431160802552769.
- Verger, A., F. Baret, and F. Camacho. 2011. “Optimal Modalities for Radiative Transfer- Neural Network Estimation of Canopy Biophysical Characteristics: Evaluation Over an Agricultural Area with CHRIS/PROBA Observations.” Remote Sensing of Environment 115 (2): 415. doi:https://doi.org/10.1016/j.rse.2010.09.012.
- Verger, A., F. Baret, and M. Weiss. 2008. “Performances of Neural Networks for Deriving LAI Estimates from Existing CYCLOPES and MODIS Products.” Remote Sensing of Environment 112 (6): 2789. doi:https://doi.org/10.1016/j.rse.2008.01.006.
- Wang, J., Q. Dai, J. Shang, X. Jin, Q. Sun, G. Zhou, and Q. Dai. 2019. “Field-Scale Rice Yield Estimation Using Sentinel-1A Synthetic Aperture Radar (SAR) Data in Coastal Saline Region of Jiangsu Province, China.” Remote Sensing 11 (19): 2274. doi:https://doi.org/10.3390/rs11192274.
- Wang, J., X. Li, L. Lu, and F. Fang. 2013. “Parameter Sensitivity Analysis of Crop Growth Models Based on the Extended Fourier Amplitude Sensitivity Test Method.” Environmental Modelling & Software 48: 171. doi:https://doi.org/10.1016/j.envsoft.2013.06.007.
- Xie, Y., P. Wang, X. Bai, J. Khan, S. Zhang, L. Li, and L. Wang. 2017. “Assimilation of the Leaf Area Index and Vegetation Temperature Condition Index for Winter Wheat Yield Estimation Using Landsat Imagery and the CERES-Wheat Model.” Agricultural and Forest Meteorology 246: 194. doi:https://doi.org/10.1016/j.agrformet.2017.06.015.