References
- Adão, T., J. Hruška, L. Pádua, J. Bessa, E. Peres, R. Morais, and J. J. Sousa. 2017. “Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry.” Remote Sensing 9 (11): 1110. doi:https://doi.org/10.3390/rs9111110.
- Akinwande, M. O., H. G. Dikko, and A. Samson. 2015. “Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis.” Open Journal of Statistics 5 (07): 754. doi:https://doi.org/10.4236/ojs.2015.57075.
- Chen, P. F., D. Haboudane, N. Tremblay, J. H. Wang, P. Vigneault, and B. G. Li. 2010. “New Spectral Indicator Assessing the Efficiency of Crop Nitrogen Treatment in Corn and Wheat.” Remote Sensing of Environment 114 (9): 1987–1997. doi:https://doi.org/10.1016/j.rse.2010.04.006.
- Cohen, Y., V. Alchanatis, Y. Zusman, Z. Dar, D. J. Bonfil, A. Karnieli, and A. Zilberman et al. 2010. ”Leaf Nitrogen Estimation in Potato Based on Spectral Data and on Simulated Bands of the VENμS Satellite.” Precision Agriculture 11 (5): 520–537. doi:https://doi.org/10.1007/s11119-009-9147-8.
- Farwell, L. S., D. Gudex-Cross, I. E. Anise, M. J. Bosch, A. M. Olah, V. C. Radeloff, and E. Razenkova et al. 2021. ”Satellite Image Texture Captures Vegetation Heterogeneity and Explains Patterns of Bird Richness.” Remote Sensing of Environment 253: 112175. doi:https://doi.org/10.1016/j.rse.2020.112175.
- Ferreira, M. P., F. H. Wagner, L. E. O. C. Aragão, Y. E. Shimabukuro, and C. R. D. S. Filho. 2019. “Tree Species Classification in Tropical Forests Using Visible to Shortwave Infrared WorldView-3 Images and Texture Analysis.” ISPRS Journal of Photogrammetry and Remote Sensing 149: 119–131. doi:https://doi.org/10.1016/j.isprsjprs.2019.01.019.
- Filella, I., L. Serrano, J. Serra, and J. Peñuelas. 1995. “Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis.” Crop Science 35 (5): 1400–1405. doi:https://doi.org/10.2135/cropsci1995.0011183X003500050023x.
- Fu, Y. Y., G. J. Yang, Z. H. Li, X. Y. Song, Z. H. Li, X. G. Xu, P. Wang, and C. J. Zhao. 2020. “Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes Regression.” Remote Sensing 12 (22): 3778. doi:https://doi.org/10.3390/rs12223778.
- Fu, Y. Y., G. J. Yang, R. L. Pu, Z. H. Li, H. L. Li, X. G. Xu, X. Y. Song, X. D. Yang, and C. J. Zhao. 2021. “An Overview of Crop Nitrogen Status Assessment Using Hyperspectral Remote Sensing: Current Status and Perspectives.” European Journal of Agronomy 124: 126241. doi:https://doi.org/10.1016/j.eja.2021.126241.
- Fu, Y. Y., C. J. Zhao, J. H. Wang, X. P. Jia, G. J. Yang, X. Y. Song, and H. K. Feng. 2017. “An Improved Combination of Spectral and Spatial Features for Vegetation Classification in Hyperspectral Images.” Remote Sensing 9 (3): 261. doi:https://doi.org/10.3390/rs9030261.
- Gao, L., G. J. Yang, H. Y. Yu, B. Xu, X. Q. Zhao, J. H. Dong, and Y. B. Ma. 2016. “Retrieving Winter Wheat Leaf Area Index Based on Unmanned Aerial Vehicle Hyperspectral Remote Sensing.” Transactions of the Chinese Society of Agricultural Engineering 32 (22): 113–120. doi:https://doi.org/10.11975/j.issn.1002-6819.2016.22.016.
- Haboudane, D., J. R. Miller, N. Tremblay, P. J. Zarco-Tejada, and L. Dextraze. 2002. “Integrated Narrow-Band Vegetation Indices for Prediction of Crop Chlorophyll Content for Application to Precision Agriculture.” Remote Sensing of Environment 81 (2–3): 416–426. doi:https://doi.org/10.1016/S0034-4257(02)00018-4.
- Hansen, P. M. and J. K. Schjoerring. 2003. “Reflectance Measurement of Canopy Biomass and Nitrogen Status in Wheat Crops Using Normalized Difference Vegetation Indices and Partial Least Squares Regression.” Remote Sensing of Environment 86 (4): 542–553. doi:https://doi.org/10.1016/S0034-4257(03)00131-7.
- Haralick, R. M., K. Shanmugam, and I. H. Dinstein. 1973. “Textural Features for Image Classification.” IEEE Transactions on Systems, Man, and Cybernetics: Systems SMC-3 (6): 610–621. doi:https://doi.org/10.1109/TSMC.1973.4309314.
- Huete, A. R. 1988. “A Soil-Adjusted Vegetation Index (SAVI).” Remote Sensing of Environment 25 (3): 295–309. doi:https://doi.org/10.1016/0034-4257(88)90106-X.
- Hunt, E. R., Jr, P. C. Doraiswamy, J. E. McMurtrey, C. S. T. Daughtry, E. M. Perry, and B. Akhmedov. 2013. “A Visible Band Index for Remote Sensing Leaf Chlorophyll Content at the Canopy Scale.” International Journal of Applied Earth Observation and Geoinformation 21: 103–112. doi:https://doi.org/10.1016/j.jag.2012.07.020.
- Jin, X. L., Z. H. Li, and C. Atzberger. 2020. “Editorial for the Special Issue “Estimation of Crop Phenotyping Traits Using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”.” Remote Sensing 12 (6): 940. doi:https://doi.org/10.3390/rs12060940.
- Kavdır, I. and D. E. Guyer. 2004. “Comparison of Artificial Neural Networks and Statistical Classifiers in Apple Sorting Using Textural Features.” Biosystems Engineering 89 (3): 331–344. doi:https://doi.org/10.1016/j.biosystemseng.2004.08.008.
- Li, Z., C. Nie, C. Wei, X. Xu, X. Song, and J. Wang. 2016. “Comparison of Four Chemometric Techniques for Estimating Leaf Nitrogen Concentrations in Winter Wheat (Triticum Aestivum) Based on Hyperspectral Features.” Journal of Applied Spectroscopy 83 (2): 240–247. doi:https://doi.org/10.1007/s10812-016-0276-3.
- Li, S. Y., F. Yuan, S. T. Ata-UI-Karim, H. B. Zheng, T. Cheng, X. J. Liu, Y. C. Tian, Y. Zhu, W. X. Cao, and Q. Cao. 2019. “Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.” Remote Sensing 11 (15): 1763. doi:https://doi.org/10.3390/rs11151763.
- Liang, L., L. P. Di, T. Huang, J. H. Wang, L. Lin, L. J. Wang, and M. H. Yang. 2018. “Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm.” Remote Sensing 10 (12): 1940. doi:https://doi.org/10.3390/rs10121940.
- Liu, S. S., L. T. Li, W. H. Gao, Y. K. Zhang, Y. N. Liu, S. Q. Wang, and J. W. Lu. 2018. “Diagnosis of Nitrogen Status in Winter Oilseed Rape (Brassica Napus L.) Using in-Situ Hyperspectral Data and Unmanned Aerial Vehicle (UAV) Multispectral Images.” Computers and Electronics in Agriculture 151: 185–195. doi:https://doi.org/10.1016/j.compag.2018.05.026.
- Liu, H. Y., H. C. Zhu, Z. H. Li, and G. J. Yang. 2019. “Quantitative Analysis and Hyperspectral Remote Sensing of the Nitrogen Nutrition Index in Winter Wheat.” International Journal of Remote Sensing 41 (3): 858–881. doi:https://doi.org/10.1080/01431161.2019.1650984.
- Liu, H. Y., H. C. Zhu, and P. Wang. 2017. “Quantitative Modelling for Leaf Nitrogen Content of Winter Wheat Using UAV-Based Hyperspectral Data.” International Journal of Remote Sensing 38 (8–10): 2117–2134. doi:https://doi.org/10.1080/01431161.2016.1253899.
- Malo, N., O. Libiger, and N. J. Schork. 2008. “Accommodating Linkage Disequilibrium in Genetic-Association Analyses via Ridge Regression.” American Journal of Human Genetics 82 (2): 375–385. doi:https://doi.org/10.1016/j.ajhg.2007.10.012.
- Mistele, B. and U. Schmidhalter. 2010. “Tractor‐based Quadrilateral Spectral Reflectance Measurements to Detect Biomass and Total Aerial Nitrogen in Winter Wheat.” Agronomy Journal 102 (2): 499–506. doi:https://doi.org/10.2134/agronj2009.0282.
- Moharana, S. and S. Dutta. 2016. “Spatial Variability of Chlorophyll and Nitrogen Content of Rice from Hyperspectral Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 122: 17–29. doi:https://doi.org/10.1016/j.isprsjprs.2016.09.002.
- Perry, E. M. and J. R. Davenport. 2007. “Spectral and Spatial Differences in Response of Vegetation Indices to Nitrogen Treatments on Apple.” Computers and Electronics in Agriculture 59 (1–2): 56–65. doi:https://doi.org/10.1016/j.compag.2007.05.002.
- Qin, Z. F., Q. R. Chang, B. N. Xie, and J. Shen. 2016. “Rice Leaf Nitrogen Content Estimation Based on Hysperspectral Imagery of UAV in Yellow River Diversion Irrigation District.” Transactions of the Chinese Society of Agricultural Engineering 32 (23): 77–85. doi:https://doi.org/10.11975/j.issn.1002-6819.2016.23.011.
- Stone, M. L., J. B. Solie, W. R. Raun, R. W. Whitney, S. L. Taylor, and J. D. Ringer. 1996. “Use of Spectral Radiance for Correcting in-Season Fertilizer Nitrogen Deficiencies in Winter Wheat.” Transactions of the ASAE 39 (5): 1623–1631. doi:https://doi.org/10.13031/2013.27678.
- Stroppiana, D., M. Boschetti, P. A. Brivio, and S. Bocchi. 2009. “Plant Nitrogen Concentration in Paddy Rice from Field Canopy Hyperspectral Radiometry.” Field Crops Research 111 (1–2): 119–129. doi:https://doi.org/10.1016/j.fcr.2008.11.004.
- Szantoi, Z., F. Escobedo, A.-A. Elrahman, S. Smith, and L. Pearlstine. 2013. “Analyzing Fine-Scale Wetland Composition Using High Resolution Imagery and Texture Features.” International Journal of Applied Earth Observation and Geoinformation 23: 204–212. doi:https://doi.org/10.1016/j.jag.2013.01.003.
- Tian, Y. C., X. Yao, J. Yang, W. X. Cao, D. B. Hannaway, and Y. Zhu. 2011. “Assessing Newly Developed and Published Vegetation Indices for Estimating Rice Leaf Nitrogen Concentration with Ground-and Space-Based Hyperspectral Reflectance.” Field Crops Research 120 (2): 299–310. doi:https://doi.org/10.1016/j.fcr.2010.11.002.
- Turner, D., A. Lucieer, and L. Wallace. 2014. “Direct Georeferencing of Ultrahigh-Resolution UAV Imagery.” IEEE Transactions on Geoscience and Remote Sensing 52 (5): 2738–2745. doi:https://doi.org/10.1109/TGRS.2013.2265295.
- Wang, Y. N., F. L. Li, W. D. Wang, X. K. Chen, and Q. R. Chang. 2020. “Monitoring of Winter Wheat Nitrogen Nutrition Based on UAV Hyperspectral Images.” Transactions of the Chinese Society of Agricultural Engineering 36 (22): 31–39. doi:https://doi.org/10.11975/j.issn.1002-6819.2020.22.004.
- Wang, L. A., X. D. Zhou, X. K. Zhu, and W. S. Guo. 2017. “Estimation of Leaf Nitrogen Concentration in Wheat Using the MK-SVR Algorithm and Satellite Remote Sensing Data.” Computers and Electronics in Agriculture 140: 327–337. doi:https://doi.org/10.1016/j.compag.2017.05.023.
- Yang, B. H., M. X. Wang, Z. X. Sha, B. Wang, J. L. Chen, X. Yao, T. Cheng, W. X. Cao, and Y. Zhu. 2019. “Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles.” Sensors 19 (20): 4416. doi:https://doi.org/10.3390/s19204416.
- Yao, X., Y. Huang, G. Y. Shang, C. Zhou, T. Cheng, Y. C. Tian, W. X. Cao, and Y. Zhu. 2015. “Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration.” Remote Sensing 7 (11): 14939–14966. doi:https://doi.org/10.3390/rs71114939.
- Zheng, H. B., T. Cheng, D. Li, X. Yao, Y. C. Tian, W. X. Cao, and Y. Zhu. 2018a. “Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice.” Frontiers in Plant Science 9: 936. doi:https://doi.org/10.3389/fpls.2018.00936.
- Zheng, H. B., T. Cheng, M. Zhou, D. Li, X. Yao, Y. C. Tian, W. X. Cao, and Y. Zhu. 2019. “Improved Estimation of Rice Aboveground Biomass Combining Textural and Spectral Analysis of UAV Imagery.” Precision Agriculture 20 (3): 611–629. doi:https://doi.org/10.1007/s11119-018-9600-7.
- Zheng, H. B., W. Li, J. L. Jiang, Y. Liu, T. Cheng, Y. C. Tian, Y. Zhu, W. X. Cao, Y. Zhang, and X. Yao. 2018b. “A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle.” Remote Sensing 10 (12): 2026. doi:https://doi.org/10.3390/rs10122026.
- Zheng, H. B., J. F. Ma, M. Zhou, D. Li, X. Yao, W. X. Cao, Y. Zhu, and T. Cheng. 2020. “Enhancing the Nitrogen Signals of Rice Canopies Across Critical Growth Stages Through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery.” Remote Sensing 12 (6): 957. doi:https://doi.org/10.3390/rs12060957.
- Zhou, K., T. Cheng, Y. Zhu, W. X. Cao, S. L. Ustin, H. B. Zheng, X. Yao, and Y. C. Tian. 2018. “Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data.” Frontiers in Plant Science 9: 964. doi:https://doi.org/10.3389/fpls.2018.00964.
- Zhu, H. C., H. Y. Liu, Y. X. Xu, and Y. Guijun. 2018. “UAV-Based Hyperspectral Analysis and Spectral Indices Constructing for Quantitatively Monitoring Leaf Nitrogen Content of Winter Wheat.” Applied Optics 57 (27): 7722–7732. doi:https://doi.org/10.1364/AO.57.007722.
- Zhu, Y., Y. C. Tian, X. Yao, X. J. Liu, and W. X. Cao. 2007. “Analysis of Common Canopy Reflectance Spectra for Indicating Leaf Nitrogen Concentrations in Wheat and Rice.” Plant Production Science 10 (4): 400–411. doi:https://doi.org/10.1626/pps.10.400.