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Articles

Winter wheat leaf area index inversion by the genetic algorithms neural network model based on SAR data

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Pages 362-380 | Received 04 Oct 2021, Accepted 08 Jan 2022, Published online: 10 Feb 2022

References

  • Abadi, M. Q. H., S. Rahmati, A. Sharifi, and M. Ahmadi. 2021. “HSSAGA: Designation and Scheduling of Nurses for Taking Care of COVID-19 Patients Using Novel Method of Hybrid Salp Swarm Algorithm and Genetic Algorithm.” Applied Soft Computing 108: 107449.
  • Alhijawi, B., and A. Awajan. 2021. “Novel Textual Entailment Technique for the Arabic Language Using Genetic Algorithm.” Computer Speech & Language 68: 101194.
  • Amar, J., and K. Nagase. 2021. “Genetic-Algorithm-Based Global Design Optimization of Tree-Type Robotic Systems Involving Exponential Coordinates.” Mechanical Systems and Signal Processing 156 (8): 107461.
  • Amin, E., J. Verrelst, J. P. Rivera-Caicedo, L. Pipia, A. Ruiz-Verdú, and J. Moreno. 2021. “Prototyping Sentinel-2 Green LAI and Brown LAI Products for Cropland Monitoring.” Remote Sensing of Environment 255: 112168.
  • Attema, E. P. W., and F. T. Ulaby. 1978. “Vegetation Modeled as a Water Cloud.” Radio Science 13: 357–364.
  • Carrabs, F. 2021. “A Biased Random-key Genetic Algorithm for the set Orienteering Problem.” European Journal of Operational Research 292: 830–854.
  • Deng, Z., M. Yan, and X. Xiao. 2021. “An Early Risk Warning of Cross-Border e-Commerce Using BP Neural Network.” Mobile Information Systems 2021: 1–8.
  • Gómez-Candón, D., J. Bellvert, and C. Royo. 2021. “Performance of the Two-Source Energy Balance (TSEB) Model as a Tool for Monitoring the Response of Durum Wheat to Drought by High-Throughput Field Phenotyping.” Frontiers in Plant Science 12: 658357.
  • Graham, A. J., and R. Harris. 2002. “Estimating Crop and Waveband Specifific Water Cloud Model Parameters Using a Theoretical Backscatter Model.” International Journal of Remote Sensing 23 (23): 5129–5133.
  • Inoue, Y., T. Kurosu, H. Maeno, S. Uratsuka, T. Kozu, K. Dabrowska-Zielinska, and J. Qi. 2002. “Season-long Daily Measurements of Multifrequency (Ka, Ku, X, C, and L) and Full-Polarization Backscatter Signatures Over Paddy Rice Field and Their Relationship with Biological Variables.” Remote Sensing of Environment 81: 194–204.
  • Jafari, M., and A. Keshavarz. 2021. “Improving CERES-Wheat Yield Forecasts by Assimilating Dynamic Landsat-Based Leaf Area Index: A Case Study in Iran.” Journal of the Indian Society of Remote Sensing: 1–14. Published online.
  • Katsuhama, N., M. Imai, N. Naruse, and Y. Takahashi. 2018. “Discrimination of Areas Infected with Coffee Leaf Rust Using a Vegetation Index.” Remote Sensing Letters 9: 1186–1194.
  • Kweon, S. K., and O. H. Yisok. 2015. “A Modified Water-Cloud Model with Leaf Angle Parameters for Microwave Backscattering from Agricultural Fields.” IEEE Transactions on Geoscience & Remote Sensing 53: 2802–2809.
  • Le Maire, G., C. Marsden, Y. Nouvellon, J.-L. Stape, and F. Ponzoni. 2012. “Calibration of a Species-Specific Spectral Vegetation Index for Leaf Area Index (LAI) Monitoring: Example with MODIS Reflectance Time-Series on Eucalyptus Plantations.” Remote Sensing 4: 3766–3780.
  • Li, X., H. Du, G. Zhou, F. Mao, M. Zhang, N. Han, W. Fan, et al. 2021. “Phenology Estimation of Subtropical Bamboo Forests Based on Assimilated MODIS LAI Time Series Data.” ISPRS Journal of Photogrammetry and Remote Sensing 173 (6): 262–277 .
  • Li, F., S. Fang, Y. Shen, and D. Wang. 2021. “Research on Graphene/Silicon Pressure Sensor Array Based on Backpropagation Neural Network.” Electron. Letter 57: 419–421 .
  • Liao, C., J. Wang, J. Shang, X. Huang, J. Liu, and T. Huffman. 2018. “Sensitivity Study of Radarsat-2 Polarimetric SAR to Crop Height and Fractional Vegetation Cover of Corn and Wheat.” International Journal of Remote Sensing 39 (5-6): 1475–1490.
  • Niu, C., H. Zhang, W. Liu, R. Li, and T. Hu. 2021. “Using a Fully Polarimetric SAR to Detect Landslide in Complex Surroundings: Case Study of 2015 Shenzhen Landslide.” ISPRS Journal of Photogrammetry and Remote Sensing 174: 56–67.
  • Prévot, L., I. Champion, and G. Guyot. 1993. “Estimating Surface Soil Moisture and Leaf Area Index of a Wheat Canopy Using a Dual-Frequency (C and X Bands) Scatterometer.” Remote Sensing of Environment 46: 331–339.
  • Ren, Z., Y. Du, X. He, R. Pu, H. Zheng, and H. Hu. 2018. “Spatiotemporal Pattern of Urban Forest Leaf Area Index in Response to Rapid Urbanization and Urban Greening.” Journal of Forestry Research 29: 785–796.
  • Ulaby, F. T., C. T. Allen, G. E. Iii, and E. Kanemasu. 1984. “Relating the Microwave Backscattering Coefficient to Leaf Area Index.” Remote Sensing of Environment 14: 113–133.
  • Wali, E., M. Tasumi, and M. Moriyama. 2020. “Combination of Linear Regression Lines to Understand the Response of Sentinel-1 Dual Polarization SAR Data with Crop Phenology—Case Study in Miyazaki, Japan.” Remote Sensing 12: 189.
  • Wang, L., Z. Liu, J. Guo, Y. Wang, J. Ma, S. Yu, P. Yu, and L. Xu. 2021. “Estimate Canopy Transpiration in Larch Plantations via the Interactions among Reference Evapotranspiration, Leaf Area Index, and Soil Moisture.” Forest Ecology and Management 481: 118749.
  • Wang, Y., and D. Qing. 2021. “Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method.” Complexity 2021 (3): 1–14.
  • Wang, Y., Y. Wang, Z. Li, P. Yu, and X. Han. 2020. “Interannual Variation of Transpiration and its Modeling of a Larch Plantation in Semiarid Northwest China.” Forests 11 (12): 1303.
  • Xu, H. 1996. “Monitoring Leaf Area of Sugar Beet Using ERS-1 SAR Data.” International Journal of Remote Sensing 17: 3401–3410.
  • Xu, J., F. Chen, and C. Deng. 2021. “Design and Analysis of a Novel Multi-Sectioned Compound Parabolic Concentrator with Multi-Objective Genetic Algorithm.” Energy 225: 120216.
  • Xu, T., J. Liao, G. Shen, J. Wang, X. Yang, and M. Wang. 2016. “Estimation of Wetland Vegetation LAI in the Poyang Lake Area Using GF-1 and Radarsat-2 Data (in Chinese).” Journal of Infrared and Millimeter Waves 35: 332–340.
  • Xu, X. O., A. Marino, L. Li, X. Xu, A. Marino, and L. Li. 2011. “Biomass Related Parameter Retrieving from Quad-Pol Images Based on Freeman-Durden Decomposition.” In Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada, July. doi:10.1109/igarss.2011.6049005.
  • Yadav, V. P., R. Prasad, and R. Bala. 2021. “Leaf Area Index Estimation of Wheat Crop Using Modified Water Cloud Model from the Time-Series SAR and Optical Satellite Data.” Geocarto International 36: 791–802.
  • Yang, Z., K. Li, Y. Shao, B. Brisco, and L. Liu. 2016. “Estimation of Paddy Rice Variables with a Modified Water Cloud Model and Improved Polarimetric Decomposition Using Multi-Temporal RADARSAT-2 Images.” Remote Sensing 8: 878.
  • Zhang, L. L., Q. Y. Meng, S. Yao, Q. Wang, J. Zeng, S. Zhao, and J. W. Ma. 2018. “Soil Moisture Retrieval from the Chinese GF-3 Satellite and Optical Data Over Agricultural Fields.” Sensors 18 (8): 2675.
  • Zhao, Y., S. Dong, F. Jiang, and A. Incecik. 2021a. “Mooring Tension Prediction Based on BP Neural Network for Semi-Submersible Platform.” Ocean Engineering 223 (4): 108714 .
  • Zhao, Y., J. Liu, J. Ma, and L. Wu. 2021b. “Multi-branch Cable Harness Layout Design Based on Genetic Algorithm with Probabilistic Roadmap Method.” Chinese Journal of Mechanical Engineering 34 (1 ).