Author:
Zhang Baoyuan,Gu Limin,Dai Menglei,Bao Xiaoyuan,Sun Qian,Qu Xuzhou,Zhang Mingzheng,Liu Xingyu,Fan Chengzhi,Gu Xiaohe,Zhen Wenchao
Reference38 articles.
1. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sens.,2015
2. 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. Geoinf.,2015
3. Hyperspectral estimation models of winter wheat chlorophyll content under elevated CO2;Cai;Front. Plant Sci.,2021
4. Xgboost: a scalable tree boosting system;Chen;Proc. 22nd acm sigkdd Int. Conf. Knowl. Discov. data Min.,2016
5. A new integrated vegetation index for the estimation of winter wheat leaf chlorophyll content;Cui;Remote Sens.,2019