Estimating the maize biomass by crop height and narrowband vegetation indices derived from UAV-based hyperspectral images

Author:

Zhang Yue,Xia Chenzhen,Zhang Xingyu,Cheng Xianhe,Feng Guozhong,Wang Yin,Gao Qiang

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference64 articles.

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2. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sens.,2015

3. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley;Bendig;Int. J. Appl. Earth Obs.,2015

4. Estimation methods developing with remote sensing information for energy crop biomass: a comparative review;Chao;Biomass Bioenergy,2019

5. Chen, J.M., 1996. Evaluation of vegetation indices and a Modified Simple Ratio for boreal applications. Canad. J. Remote Sens. https://doi.org/10.4095/218303.

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