Green chlorophyll index |
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Gitelson et al. (2005)GITELSON, A. A. et al. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters, 32: 1-4, 2005.
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Modified excess green |
MEXG = 1.262Rg - 0.884Rr - 0.311Rb
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Burgos-Artizzu et al. (2011)BURGOS-ARTIZZU, X. P. et al. Real-time image processing for crop/weed discrimination in maize fields. Computers and Electronics in Agriculture, 75: 337-346, 2011.
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Modified normalized green red difference |
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Bendig et al. (2015)BENDIG, J. et al. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. International Journal of Applied Earth Observation and Geoinformation, 39: 79-87, 2015.
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Normalized difference Red-Edge – |
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Wang, Azzari and Lobell (2019)WANG, S.; AZZARI, G.; LOBELL, D. B. Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques. Remote Sensing of Environment, 222: 303-317, 2019.
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Normalized difference Red-Edge index |
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Hassan et al. (2018)HASSAN, M. A. et al. Time-series multispectral indices from unmanned aerial vehicle imagery reveal senescence rate in bread wheat. Remote Sensing, 10: 809-828, 2018.
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Normalized Difference Vegetation Index |
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Gitelson et al. (2005)GITELSON, A. A. et al. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters, 32: 1-4, 2005.
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Normalized green red difference – |
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Hamuda, Glavin and Jones (2016)HAMUDA, E.; GLAVIN, M.; JONES, E. A survey of image processing techniques for plant extraction and segmentation in the field. Computers and Electronics in Agriculture, 125: 184-199, 2016.
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Pigment-specific normalized difference index |
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Blackburn (1998)BLACKBURN, G. A. Quantifying chlorophylls and carotenoids at leaf and canopy scales: an evaluation of some hyperspectral approaches. Remote Sensing of Environment, 66: 273-285, 1998.
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Red-Edge chlorophyll index |
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Gitelson et al. (2005)GITELSON, A. A. et al. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters, 32: 1-4, 2005.
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Red green difference – |
RGD =Rr - Rg
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Sanjerehei (2014)SANJEREHEI, M. M. Assessment of spectral vegetation indices for estimating vegetation cover in arid and semiarid shrublands. Range Management & Agroforest, 35: 91-100, 2014.
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Ratio vegetation index RVI |
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Tucker (1979)TUCKER, C. J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8: 127-150, 1979.
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Soil Adjusted Vegetation Index |
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Zhong, Hu and Zhou (2019)ZHONG, L.; HU, L.; ZHOU, H. Deep learning based multi-temporal crop classification. Remote Sensing of Environment, 221: 430-443, 2019.
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Transformed chlorophyll absorption in Nir index |
TCARI = 3[(R_n - R_r) - 0.2(R_n - R_g)(R_n/R_r)] |
Haboudane et al. (2002)HABOUDANE, D. et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, 81: 416-426, 2002.
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TCARI/OSAVI index |
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Haboudane et al. (2002)HABOUDANE, D. et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, 81: 416-426, 2002.
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Transformed chlorophyll absorption in Red-edge index |
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Daughtry et al. (2000)DAUGHTRY, C. S. T. et al. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 74: 229-239, 2000.
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Wide dynamic range vegetation index |
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Gitelson (2004)GITELSON, A. A. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. Journal of Plant Physiology, 161: 165-173, 2004.
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