Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11119-022-09983-3.pdf
Reference55 articles.
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2. Berger, K., Verrelst, J., Feret, J. B., Wang, Z. H., Wocher, M., Strathmann, M., Danner, M., Mauser, W., & Hank, T. (2020). Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2020.111758
3. Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., & Grégoire, J. (2001). Detecting vegetation leaf water content using reflectance in the optical domain. Remote Sensing of Environment, 77, 22–33. https://doi.org/10.1016/S0034-4257(01)00191-2
4. Chen, D. Y., Huang, J. F., & Jackson, T. J. (2005). Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands. Remote Sensing of Environment, 98, 225–236. https://doi.org/10.1016/j.rse.2005.07.008
5. Cheng, T., Rivard, B., Sánchez-Azofeifa, A. G., Féret, J. B., Jacquemoud, S., & Ustin, S. L. (2012). Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis. Journal of Plant Physiology, 169, 1134–1142. https://doi.org/10.1016/j.jplph.2012.04.006
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