Cite
The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China.
MLA
Zeng, Na, et al. “The Utility of Fusing Multi-Sensor Data Spatio-Temporally in Estimating Grassland Aboveground Biomass in the Three-River Headwaters Region of China.” International Journal of Remote Sensing, vol. 41, no. 18, Sept. 2020, pp. 7068–89. EBSCOhost, https://doi.org/10.1080/01431161.2020.1752411.
APA
Zeng, N., He, H., Ren, X., Zhang, L., Zeng, Y., Fan, J., Li, Y., Niu, Z., Zhu, X., & Chang, Q. (2020). The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China. International Journal of Remote Sensing, 41(18), 7068–7089. https://doi.org/10.1080/01431161.2020.1752411
Chicago
Zeng, Na, Honglin He, Xiaoli Ren, Li Zhang, Yuan Zeng, Jiangwen Fan, Yuzhe Li, Zhongen Niu, Xiaobo Zhu, and Qingqing Chang. 2020. “The Utility of Fusing Multi-Sensor Data Spatio-Temporally in Estimating Grassland Aboveground Biomass in the Three-River Headwaters Region of China.” International Journal of Remote Sensing 41 (18): 7068–89. doi:10.1080/01431161.2020.1752411.