Wang, L.; Liu, H.; Wang, X.; Xu, X.; He, L.; Luo, C.; Li, Y.; Zhang, X.; Zang, D.; Zheng, S.;
et al. Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors? Remote Sens. 2025, 17, 237.
https://doi.org/10.3390/rs17020237
AMA Style
Wang L, Liu H, Wang X, Xu X, He L, Luo C, Li Y, Zhang X, Zang D, Zheng S,
et al. Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors? Remote Sensing. 2025; 17(2):237.
https://doi.org/10.3390/rs17020237
Chicago/Turabian Style
Wang, Liping, Huanjun Liu, Xiang Wang, Xiaofeng Xu, Liyuan He, Chong Luo, Yong Li, Xinle Zhang, Deqiang Zang, Shufeng Zheng,
and et al. 2025. "Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors?" Remote Sensing 17, no. 2: 237.
https://doi.org/10.3390/rs17020237
APA Style
Wang, L., Liu, H., Wang, X., Xu, X., He, L., Luo, C., Li, Y., Zhang, X., Zang, D., Zheng, S., & Mei, X.
(2025). Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors? Remote Sensing, 17(2), 237.
https://doi.org/10.3390/rs17020237