Shen, W., He, J., He, T., Tao, X., & Huang, C. 2022. “Biophysical effects of afforestation on land surface temperature in Guangdong Province, Southern China.” Journal of Geophysical Research: Biogeosciences, August 16, 2022. Article Link.
Lu, J., Huang, C., Tao, X., Gong, W., & Schleeweis, K. 2022. “Annual forest disturbance intensity mapped using Landsat time series and field inventory data for the conterminous United States (1986-2015).” Remote Sensing of Environment, June 15, 2022. Article Link.
Gong W., Huang, C., Houghton, R.A., Nassikas, A., Zhao, F., Tao, X., Lu, J., & Schleeweis, K. 2022. “Carbon fluxes from contemporary forest disturbances in North Carolina evaluated using a grid-based carbon accounting model and fine resolution remote sensing products.” Science of Remote Sensing, June 2022. Article Link.
Chen, X., Tao, X., & Yang, Y. 2022. “Distribution and attribution of gross primary productivity increase over the Mongolian Plateau.” IEEE Access. Article Link.
Zhao, M., Liu, F., Sun, W., & Tao, X. 2020. “The Relationship between environmental regulation and green total factor productivity in China: An empirical study based on the panel data of 177 cities.” International Journal of Environmental Research and Public Health, July 22, 2020. Article Link.
Shen, W., Li, M., Huang, C., He, T., Tao, X., & Wei, A. 2019. “Local land surface temperature change induced by afforestation based on satellite observations in Guangdong plantation forests in China.” Agricultural and Forest Meteorology, October 15, 2019. Article Link.
Zhong, L., Hu, L., Zhou, H., & Tao, X. 2019. “Deep learning based winter wheat mapping using statistical data as ground references in Kansas and northern Texas.” Remote Sensing of Environment, November 2019. Article Link.
Shen, W., Li, M., Huang, C., Tao, X., Li, S., & Wei, A. 2019. “Mapping annual forest change due to afforestation in Guangdong Province of China using active and passive remote sensing data.” Remote Sensing, February 29, 2019. Article Link.
Tao, X., Huang, C., Zhao, F., Schleeweis, K., Masek, J., & Liang, S. 2019. “Mapping forest disturbance intensity in North and South Carolina using annual Landsat observations and field inventory data.” Remote Sensing of Environment, February 2019. Article Link.
Tao, X., Xiao, Z., & Fan, W. 2020. “Fraction of absorbed photosynthetically active radiation.” Academic press. Article Link.
Liang, S., Wang, D., Cheng, J., He, T., Tao, X., Yao, Y., & Zhang, X. 2018. “Methodologies for integrating multiple high-level remotely sensed land products.” Elsevier, January 2018. Article Link.
Fan, W., & Tao, X. 2012. “Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation.” Academic Press, November 19, 2017. Article Link.
Tao, Xin. 2022. “Mapping forest age in North and South Carolina using time serial observations and field inventory data.” Proceedings of the International Geoscience and Remote Sensing Symposium, September 28, 2022. Article Link.
Tao, Xin. 2020. “Improving satellite estimates of the fraction of absorbed photosynthetically active radiation through integration.” Proceedings of the International Geoscience and Remote Sensing Symposium, February 17, 2021. Article Link.
Tao, Xin. 2017. “Estimation of forest disturbance intensity from Landsat data in North Carolina and South Carolina.” Proceedings of the International Geoscience and Remote Sensing Symposium, December 4, 2017. Article Link.