国产精品v日韩精品v欧美精品网站,国产精品videossex久久发布 ,亚洲永久字幕,蜜臀av一区二区在线免费观看

Name: FU Dongjie Ph.D., Assistant Professor
Areas of Specialization: Remote sensing big data, Land cover/use change, Coastal remote sensing

Work Experience

Education:

Representative Publications

1. Li, W., Fu, D.*, Su, F., & Xiao, Y. (2020). Spatial–Temporal Evolution and Analysis of the Driving Force of Oil Palm Patterns in Malaysia from 2000 to 2018. ISPRS International Journal of Geo-Information, 9, 280

2. Xiao, H., Su, F., Fu, D., Wang, Q., & Huang, C. (2020). Coastal Mangrove Response to Marine Erosion: Evaluating the Impacts of Spatial Distribution and Vegetation Growth in Bangkok Bay from 1987 to 2017. Remote Sensing, 12

3. Fu, D., Su, F., Wang, J., & Sui, Y. (2019). Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence. Remote Sensing, 11, 1460

4.Sui, Y., Fu, D., Wang, X., & Su, F. (2018). Surface Water Dynamics in the North America Arctic Based on 2000–2016 Landsat Data. Water, 10, 824

5.Wang, J., Meng, B., Fu, D., Pei, T., & Xu, C. (2018). Mapping Spatiotemporal Patterns and Multi-Perspective Analysis of the Surface Urban Heat Islands across 32 Major Cities in China. ISPRS International Journal of Geo-Information, 7, 207

6. Xu, G., Zhu, X., Fu, D., Dong, J., & Xiao, X. (2017). Automatic land cover classification of geo-tagged field photos by deep learning. Environmental Modelling & Software, 91, 127-134

7. Ding, Z., Liao, X., Su, F., & Fu, D. (2017). Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining. Remote Sensing, 9, 116

8.Jiao, W., Zhang, L., Chang, Q., Fu, D., Cen, Y., & Tong, Q. (2016). Evaluating an Enhanced Vegetation Condition Index (VCI) Based on VIUPD for Drought Monitoring in the Continental United States. Remote Sensing, 8, 224

9.Wang J., Huang B., Fu, D., Atkinson P.M. , Zhang X. (2016). Response of urban heat island to future urban expansion over the Beijing-Tianjin-Hebei metropolitan area. Applied Geography, 70, 26-36

10.Wang, S., Zhang, L., Fu, D., Lu, X., Wu, T., Tong, Q.(2016) Selecting photovoltaic generation sites in tibet using remote sensing and geographic analysis. Solar Energy, 133, 85-93

11.Fu, D., Zhang, L., Chen, H., Wang, J., Sun, X., & Wu, T. (2015). Assessing the Effect of Temporal Interval Length on the Blending of Landsat-MODIS Surface Reflectance for Different Land Cover Types in Southwestern Continental United States. ISPRS International Journal of Geo-Information, 4, 2542- 2560

12.Wang, J., Huang, B. Fu, D., Atkinson P. (2015). Spatiotemporal variation in surface urban heat island intensity and associated determinants across major Chinese cities. Remote Sensing, 7, 3670-3689

13.Fu, D., Chen, B., Zhang, H., Wang, J., Black, T.A., Amiro, B.D., Bohrer, G., Bolstad, P., Coulter, R., Rahman, A.F., Dunn, A., McCaughey, J.H., Meyers, T., & Verma, S. (2014). Estimating landscape net ecosystem exchange at high spatial–temporal resolution based on Landsat data, an improved upscaling model framework, and eddy covariance flux measurements. Remote Sensing of Environment, 141, 90-104

14.Fu, D., Chen, B., Wang, J., Zhu, X., & Hilker, T. (2013). An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model. Remote Sensing, 5, 6346-6360

15.Chen, B., Zhang, H., Coops, N., Fu, D., Worthy, D.J., Xu, G., & Black, T.A. (2013). Assessing scalar concentration footprint climatology and land surface impacts on tall-tower CO₂ concentration measurements in the boreal forest of central Saskatchewan, Canada. Theoretical and Applied Climatology, 1-18

16.Yan, J., Chen, B., Feng, M., Innes, J.L., Wang, G., Fang, S., Xu, G., Zhang, H., Fu, D., Wang, H., Yu, G., & Sun, X. (2013). Research on Land Surface Thermal-Hydrologic Exchange in Southern China under Future Climate and Land Cover Scenarios. Advances in Meteorology, 2013, 12

17.Wu, H., Sun, Y., Shi, W., Chen, X., & Fu, D. (2013). Examining the Satellite-Detected Urban Land Use Spatial Patterns Using Multidimensional Fractal Dimension Indices. Remote Sensing, 5, 5152-5172

18.Huang, B., Wang, J., Song, H., Fu, D., & Wong, K. (2013). Generating High Spatiotemporal Resolution Land Surface Temperature for Urban Heat Island Monitoring. Geoscience and Remote Sensing Letters, IEEE, PP, 1-5

19.Chen, B., Coops, N.C., Fu, D., Margolis, H.A., Amiro, B.D., Black, T.A., Arain, M.A., Barr, A.G., Bourque, C.P.A., Flanagan, L.B., Lafleur, P.M., McCaughey, J.H., & Wofsy, S.C. (2012). Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis. Remote Sensing of Environment, 124, 742-755

20.Chen, B., Coops, N.C., Fu, D., Margolis, H.A., Amiro, B.D., Barr, A.G., Black, T.A., Arain, M.A., Bourque, C.P.A., Flanagan, L.B., Lafleur, P.M., McCaughey, J.H., & Wofsy, S.C. (2011). Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling. Agricultural and Forest Meteorology, 151, 87-100

21.Chen, B., Ge, Q., Fu, D., Yu, G., Sun, X., Wang, S., & Wang, H. (2010). A data-model fusion approach for upscaling gross ecosystem productivity to the landscape scale based on remote sensing and flux footprint modelling. Biogeosciences, 7, 2943-2958

Major Research Projects:

2018-2022  Resources and environment information system of South China Sea islands & reefs and surrounding regions. Strategic Priority Research Program of CAS.

2018-2022  Integration of South China Sea marine scientific investigation integrated database and geographic information system. Science and Technology Basic Resources Investigation Program of China.

2016-2018 Cropland GPP estimation and up-scaling research blended with multi-angle remote sensing data and eddy-covariance measurements. National Science Foundation of China. PI.

Office Address:

11A, Datun Road, Beijing 100101, China

E-mail：fudj@lreis.ac.cn

Last updated: May 12, 2020