Qi, Y.; Gan, S.; Yuan, X.; Hu, L.; Hu, J.; Zhao, H.; Lu, C.
Research on the Quantitative Inversion of Soil Iron Oxide Content Using Hyperspectral Remote Sensing and Machine Learning Algorithms in the Lufeng Annular Structural Area of Yunnan, China. Sensors 2024, 24, 7039.
https://doi.org/10.3390/s24217039
AMA Style
Qi Y, Gan S, Yuan X, Hu L, Hu J, Zhao H, Lu C.
Research on the Quantitative Inversion of Soil Iron Oxide Content Using Hyperspectral Remote Sensing and Machine Learning Algorithms in the Lufeng Annular Structural Area of Yunnan, China. Sensors. 2024; 24(21):7039.
https://doi.org/10.3390/s24217039
Chicago/Turabian Style
Qi, Yingtao, Shu Gan, Xiping Yuan, Lin Hu, Jiankai Hu, Hailong Zhao, and Chengzhuo Lu.
2024. "Research on the Quantitative Inversion of Soil Iron Oxide Content Using Hyperspectral Remote Sensing and Machine Learning Algorithms in the Lufeng Annular Structural Area of Yunnan, China" Sensors 24, no. 21: 7039.
https://doi.org/10.3390/s24217039
APA Style
Qi, Y., Gan, S., Yuan, X., Hu, L., Hu, J., Zhao, H., & Lu, C.
(2024). Research on the Quantitative Inversion of Soil Iron Oxide Content Using Hyperspectral Remote Sensing and Machine Learning Algorithms in the Lufeng Annular Structural Area of Yunnan, China. Sensors, 24(21), 7039.
https://doi.org/10.3390/s24217039
