Zou, Huimin, Chen, Jiquan, Li, Xianglan, Zhu, Jianhua, Liu, Xiaojian, Tian, Zhen, Chen, Zhulin, Dai, Jie, Xue, Zhiyong, and Robertson, G Philip. Contributions of vegetation heterogeneity within tower footprint to CO2 flux estimations through graph neural network modeling. Retrieved from https://par.nsf.gov/biblio/10631317. Remote Sensing of Environment 329.C Web. doi:10.1016/j.rse.2025.114952.

Zou, Huimin, Chen, Jiquan, Li, Xianglan, Zhu, Jianhua, Liu, Xiaojian, Tian, Zhen, Chen, Zhulin, Dai, Jie, Xue, Zhiyong, & Robertson, G Philip. Contributions of vegetation heterogeneity within tower footprint to CO2 flux estimations through graph neural network modeling. Remote Sensing of Environment, 329 (C). Retrieved from https://par.nsf.gov/biblio/10631317. https://doi.org/10.1016/j.rse.2025.114952

Zou, Huimin, Chen, Jiquan, Li, Xianglan, Zhu, Jianhua, Liu, Xiaojian, Tian, Zhen, Chen, Zhulin, Dai, Jie, Xue, Zhiyong, and Robertson, G Philip. "Contributions of vegetation heterogeneity within tower footprint to CO2 flux estimations through graph neural network modeling". Remote Sensing of Environment 329 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.rse.2025.114952. https://par.nsf.gov/biblio/10631317.

@article{osti_10631317,
place = {Country unknown/Code not available}, title = {Contributions of vegetation heterogeneity within tower footprint to CO2 flux estimations through graph neural network modeling}, url = {https://par.nsf.gov/biblio/10631317}, DOI = {10.1016/j.rse.2025.114952}, abstractNote = {}, journal = {Remote Sensing of Environment}, volume = {329}, number = {C}, publisher = {Elsevier}, author = {Zou, Huimin and Chen, Jiquan and Li, Xianglan and Zhu, Jianhua and Liu, Xiaojian and Tian, Zhen and Chen, Zhulin and Dai, Jie and Xue, Zhiyong and Robertson, G Philip}, }