陶欣 于2006年在北京大学获得地理信息系统本科学位和经济学双学位，于2009年获得摄影测量与遥感硕士学位，于2015年在美国马里兰大学获得地理科学博士学位。 他目前任职于美国马里兰大学。他曾经任教于美国纽约州立大学和新加坡。他的研究兴趣包含森林扰动制图、从遥感数据估测地球生物物理参数、卫星产品的数据融合，以及地球生物物理参数的尺度效应及尺度转换。
出版物
期刊文章
Shen, W., He, J., He, T., Hu, X., Tao, X., Huang, C. (2022).
Biophysical effects of afforestation on land surface temperature in Guangdong Province, Southern China. Journal of Geophysical Research: Biogeosciences, 127, e2022JG006913.
doi: 10.1029/2022JG006913.
下载
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, 275, 113003.
doi: 10.1016/j.rse.2022.113003.
下载
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, 5, 100042.
doi: 10.1016/j.srs.2022.100042.
下载
Chen, X., Tao, X., & Yang, Y. (2022). Distribution and attrbution of gross primary productivity increase over the Mongolian Pleateau, 2001-2018.
IEEE Access, 10, 25125–25134. doi: 10.1109/ACCESS.2020.3155722.
下载
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, 17, 5287. doi: 10.3390/ijerph17155287.
下载
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, 276–277, 107641. doi: 10.1016/j.agrformet.2019.107641.
下载
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, US.
Remote Sensing of Environment, 233, 111411. doi: 10.1016/j.rse.2019.111411.
下载
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, 11, 490. doi: 10.3390/rs11050490.
下载
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, 221, 351–362. doi: 10.1016/j.rse.2018.11.029.
下载
Shen, W., Li, M., Huang, C., Tao, X., & Wei, A. (2018). Annual forest aboveground biomass changes mapped using ICESat/GLAS measurements,
historical inventory data, and time-series optical and radar imagery for Guangdong province, China.
Agricultural and Forest Meteorology, 259, 23–38. doi: 10.1016/j.agrformet.2018.04.005.
下载
Tao, X., Liang, S., Wang, D.D., He, T., & Huang, C. (2018).
Improving satellite estimates of fraction of absorbed photosynthetically active radiation through data integration: Method and validation.
IEEE Transactions on Geoscience and Remote Sensing, 56, 2107–2118.
doi: 10.1109/TGRS.2017.2775103.
下载
Tao, X., Liang, S., He, T., & Jin, H. (2016).
Estimation of fraction of absorbed photosynthetically active radiation from multiple satellite data: Model development and validation.
Remote Sensing of Environment, 184, 539–557. doi: 10.1016/j.rse.2016.07.036.
下载
Tao, X., Liang, S., & Wang, D. (2015).
Assessment of five global satellite products of fraction of absorbed photosynthetically active radiation:
Intercomparsion and direct validation against ground-based data.
Remote Sensing of Environment, 163, 270–285. doi: 10.1016/j.rse.2015.03.025.
下载
He, T., Liang, S., Wang, D., Shi, Q., & Tao, X. (2014).
Estimation of high-resolution land surface shortwave albedo from AVIRIS data.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 4919–4928.
doi: 10.1109/JSTARS.2014.2302234.
下载
Wang, D.L., Yang, J., Sun, G.C., Brolly, M., Tao, X., Xiao, J.H., Sun, G.Q., Wan, Y.C., & Xin, X.P. (2014).
SAR imaging and interferometry using parameters estimated from raw data.
Photogrammetric Engineering and Remote Sensing, 80, 663–674.
doi: 10.14358/PERS.80.7.663.
下载
刘翔舸, 王鹏新, 唐伯惠, 黄健熙, 陶欣. (2014).
集合卡尔曼滤波同化估算地表水热通量的研究. 电子科技大学学报 43, 393-399. doi: 10.3969/j.issn.1001-0548.2014.03.013.
下载
姚延娟, 范闻捷, 刘强, 李丽, 陶欣, 辛晓洲, 柳钦火. (2010). 玉米全生长期叶面积指数收获测量法的改进. 农业工程学报 26, 189–194.
doi: 10.3969/j.issn.1002-6819.2010.08.032.
下载
Tao, X., Yan, B., Wang, K., Wu, D., Fan, W., Xu, X., & Liang, S. (2009).
Scale transformation of leaf area index product retrieved from multi-resolution remotely sensed data:
Analysis and case studies.
International Journal of Remote Sensing, 30, 5383–5395.
doi: 10.1080/01431160903130978.
下载
徐希孺, 范闻捷, 陶欣. (2009). 遥感反演连续植被叶面积指数的空间尺度效应. 中国科学：D辑 39, 79–87.
doi: 10.1007/s11430-009-0024-0.
下载
陶欣, 范闻捷, 王大成, 闫彬彦, 徐希孺. (2009). 植被FAPAR的遥感模型与反演研究. 地球科学进展 24, 741–747.
陶欣, 范闻捷, 徐希孺. (2008). 高光谱数据组分信息的盲分解方法. 北京大学学报（自然科学版） 44, 921–926.
doi: 10.3321/j.issn:0479-8023.2008.06.015.
下载
金慧然, 陶欣, 范闻捷, 徐希孺, 李培军. (2007). 应用北京一号卫星数据监测高分辨率叶面积指数的空间分布. 自然科学进展 17, 1229–1234.
doi: 10.3321/j.issn:1002-008x.2007.09.011.
下载
著作章节
陶欣, 肖志强, 范闻捷. (2020). 吸收光合有效辐射比例. 定量遥感：理念与算法（第二版）, 梁顺林, 王锦地（编）. 科学出版社, 444–472.
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. In Comprehensive Remote Sensing, ed. by Liang, S. Elsevier, Volume 2, 278–317.
范闻捷, 陶欣. (2012). 吸收光合有效辐射比例. 定量遥感：理念与算法, 梁顺林, 李小文, 王锦地（编）. 科学出版社, 349–381.
会议论文
Tao, X. (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, pp. 3335–3338.
doi: 10.1109/IGARSS46834.2022.9883388.
下载
Tao, X. (2020). Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Integration.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 621–624.
doi: 10.1109/IGARSS39084.2020.9324638.
下载
Tao, X., Huang, C., & Zhao, F. (2017).
Estimation of forest disturbance intensity from Landsat data in North Carolina and South Carolina.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 1111–1114.
doi: 10.1109/IGARSS.2017.8127151.
下载
Tao, X., Liang, S., & He, T. (2013).
Estimation of fraction of absorbed photosynthetically active radiation from multiple satellite data.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 3072–3075.
doi: 10.1109/IGARSS.2013.6723475.
下载
Cui, R., Qin, Q., Yang, N., Tao, X., Zhao, S. (2009).
The optimization of the crop chlorophyll content indices based on a new LAI determination index.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 3201–3204.
doi: 10.1109/IGARSS.2009.5417503.
下载
Tao, X., Wang, D., Wu, D., Yan, B., Fan, W., Xu, X., & Yao, Y. (2009).
A model for instantaneous FAPAR retrieval: Theory and validation.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 144–147.
doi: 10.1109/IGARSS.2009.5416906.
下载
Tao, X., Yan, B., Wu, D., Fan, W., & Xu, X. (2008). A scale transform method for leaf area index retrieved from multi-resolutions remote sensing data. Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, pp. 176–182.
Yan, B., Fan, W., Tao, X., & Xu, X. (2008).
Study on urban heat island of Beijing using ASTER data----a quantitative remote sensing perspective.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 1350–1353.
doi: 10.1109/IGARSS.2008.4779610.
下载
Jin, H., Tao, X., Fan, W., Xu, X., & Li, P. (2007).
Monitoring the spatial distribution of high-resolution leaf area index using observations from DMC+4.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 3681–3684.
doi: 10.1109/IGARSS.2007.4423642.
下载
Tao, X., Fan, W., & Xu, X. (2007).
Blind separation of component information from mixed pixels in hyperspectral imagery.
Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 3215–3218.
doi: 10.1109/IGARSS.2007.4423529.
下载