Estimating LAI of Rice Using NDVI Derived from MODIS Surface Reflectance
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_0506127.pdf
Reference11 articles.
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2. R.R. Jensen, M.W. Binford, "Measurement and comparison of Leaf Area Index estimators derived from satellite remote sensing techniques," International Journal of Remote Sensing, 25(20), 4251-4265, 2004, doi:10.1080/01431160410001680400.
3. Y. Guangjian, H. Ronghai, L. Jinghui, W. Marie, J. Hailan, M. Xihan, "Agricultural and Forest Meteorology Review of indirect optical measurements of leaf area index : Recent advances , challenges , and perspectives," Agriculture and Forest Meteorology, 265, 390-411, 2019, doi:10.1016/j.agrformet.2018.11.033.
4. Q. Jiao, B. Zhang, J. Liu, L. Liu, "A novel two-step method for winter wheat-leaf chlorophyll content estimation using a hyperspectral vegetation index," International Journal of Remote Sensing, 35(21), 7363-7375, 2014, doi:10.1080/2150704X.2014.968681.
5. C. Tan, D. Wang, J. Zhou, Y. Du, M. Luo, Y. Zhang, "Remotely Assessing Fraction of Photosynthetically Active Radiation ( FPAR ) for Wheat Canopies Based on Hyperspectral Vegetation Indexes," Frontiers in Plant Science, 9:776, 1-9, 2018, doi:10.3389/fpls.2018.00776.
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