Zhou, Y.; Wei, G.; Wang, Y.; Wang, B.; Quan, Y.; Wu, Z.; Liu, J.; Bian, S.; Li, M.; Fan, W.;
et al. Estimating Regional Forest Carbon Density Using Remote Sensing and Geographically Weighted Random Forest Models: A Case Study of Mid- to High-Latitude Forests in China. Forests 2025, 16, 96.
https://doi.org/10.3390/f16010096
AMA Style
Zhou Y, Wei G, Wang Y, Wang B, Quan Y, Wu Z, Liu J, Bian S, Li M, Fan W,
et al. Estimating Regional Forest Carbon Density Using Remote Sensing and Geographically Weighted Random Forest Models: A Case Study of Mid- to High-Latitude Forests in China. Forests. 2025; 16(1):96.
https://doi.org/10.3390/f16010096
Chicago/Turabian Style
Zhou, Yuan, Geran Wei, Yang Wang, Bin Wang, Ying Quan, Zechuan Wu, Jianyang Liu, Shaojie Bian, Mingze Li, Wenyi Fan,
and et al. 2025. "Estimating Regional Forest Carbon Density Using Remote Sensing and Geographically Weighted Random Forest Models: A Case Study of Mid- to High-Latitude Forests in China" Forests 16, no. 1: 96.
https://doi.org/10.3390/f16010096
APA Style
Zhou, Y., Wei, G., Wang, Y., Wang, B., Quan, Y., Wu, Z., Liu, J., Bian, S., Li, M., Fan, W., & Dai, Y.
(2025). Estimating Regional Forest Carbon Density Using Remote Sensing and Geographically Weighted Random Forest Models: A Case Study of Mid- to High-Latitude Forests in China. Forests, 16(1), 96.
https://doi.org/10.3390/f16010096
