Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area and Field Measurements
2.2. UAV Data Collection and Preprocessing
2.3. Individual Tree Detection
2.4. Canopy Shape and Vegetation Indices
2.5. Flush Ratio of Orange Tree
3. Results and Discussion
3.1. Evaluation of Canopy Shape Traits
3.2. Differences in VIs
3.3. Flush Ratio and Canopy Volume Difference from Citrus Greening
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Citrus Greening | Block1 | Block2 | Block3 | Block4 | Block5 | Block6 | Block7 | Block8 | Block9 |
---|---|---|---|---|---|---|---|---|---|
Positive | 34 | 43 | 40 | 38 | 37 | 36 | 38 | 46 | 43 |
Negative | 26 | 17 | 20 | 21 | 23 | 24 | 22 | 14 | 16 |
Total | 60 | 60 | 60 | 59 * | 60 | 60 | 60 | 60 | 59 * |
Band | Center Wavelength (nm) | FWHM (nm) |
---|---|---|
Green | 560 | 40 |
Red | 655 | 35 |
RedEdge | 710 | 20 |
NIR | 830 | 110 |
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Chang, A.; Yeom, J.; Jung, J.; Landivar, J. Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease. Remote Sens. 2020, 12, 4122. https://doi.org/10.3390/rs12244122
Chang A, Yeom J, Jung J, Landivar J. Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease. Remote Sensing. 2020; 12(24):4122. https://doi.org/10.3390/rs12244122
Chicago/Turabian StyleChang, Anjin, Junho Yeom, Jinha Jung, and Juan Landivar. 2020. "Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease" Remote Sensing 12, no. 24: 4122. https://doi.org/10.3390/rs12244122