Surface reflectance calculation and predictive models of biophysical parameters of maize crop from RG-NIR sensor on board a UAV
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11119-021-09795-x.pdf
Reference53 articles.
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3. Cao, S., Danielson, B., Clare, S., Koenig, S., Campos-Vargas, C., & Sanchez-Azofeifa, A. (2019). Radiometric calibration assessments for UAS-borne multispectral cameras: Laboratory and field protocols. ISPRS Journal of Photogrammetry and Remote Sensing, 149(January), 132–145. https://doi.org/10.1016/j.isprsjprs.2019.01.016.
4. Cheng, T., Song, R., Li, D., Zhou, K., Zheng, H., Yao, X., et al. (2017). Spectroscopic estimation of biomass in canopy components of paddy rice using dry matter and chlorophyll indices. Remote Sensing, 9(4), 319. https://doi.org/10.3390/rs9040319.
5. Congedo, L. (2016). Semi-Automatic Classification Plugin Documentation Release 4.8.0.1. Release, 4(0.1), 29. https://doi.org/10.13140/RG.2.2.29474.02242/1
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