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。
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.