Wang, E.; Huang, T.; Liu, Z.; Bao, L.; Guo, B.; Yu, Z.; Feng, Z.; Luo, H.; Ou, G.
Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method. Remote Sens. 2024, 16, 4497.
https://doi.org/10.3390/rs16234497
AMA Style
Wang E, Huang T, Liu Z, Bao L, Guo B, Yu Z, Feng Z, Luo H, Ou G.
Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method. Remote Sensing. 2024; 16(23):4497.
https://doi.org/10.3390/rs16234497
Chicago/Turabian Style
Wang, Er, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, and Guanglong Ou.
2024. "Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method" Remote Sensing 16, no. 23: 4497.
https://doi.org/10.3390/rs16234497
APA Style
Wang, E., Huang, T., Liu, Z., Bao, L., Guo, B., Yu, Z., Feng, Z., Luo, H., & Ou, G.
(2024). Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method. Remote Sensing, 16(23), 4497.
https://doi.org/10.3390/rs16234497
