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Yinghai Ke, Ph.D.

Affiliations: 
2009 Environmental & Resources Engineering SUNY College of Environmental Science and Forestry, Syracuse, NY, United States 
Area:
Environmental Engineering, Remote Sensing, Forestry and Wildlife Agriculture
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"Yinghai Ke"
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Maureen O. Fellows grad student 2009 SUNY ESF
 (Investigation of automated forest inventory analysis using remote sensing techniques.)

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Publications

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Lyu M, Ke Y, Guo L, et al. (2020) Change in regional land subsidence in Beijing after south-to-north water diversion project observed using satellite radar interferometry Giscience & Remote Sensing. 57: 140-156
Zhao X, Chen B, Gong H, et al. (2020) Land subsidence along the Beijing–Tianjin Intercity Railway during the period of the South-to-North Water Diversion Project International Journal of Remote Sensing. 41: 4447-4469
Zhu L, Franceschini A, Gong H, et al. (2020) The 3‐D Facies and Geomechanical Modeling of Land Subsidence in the Chaobai Plain, Beijing Water Resources Research. 56
Liu M, Ke Y, Yin Q, et al. (2019) Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation Remote Sensing. 11: 2612
Wang M, Du L, Ke Y, et al. (2019) Impact of Climate Variabilities and Human Activities on Surface Water Extents in Reservoirs of Yongding River Basin, China, from 1985 to 2016 Based on Landsat Observations and Time Series Analysis Remote Sensing. 11: 560
Zuo J, Gong H, Chen B, et al. (2019) Time-series evolution patterns of land subsidence in the eastern Beijing Plain, China Remote Sensing. 11: 539
Zhang P, Ke Y, Zhang Z, et al. (2018) Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery. Sensors (Basel, Switzerland). 18
Yang Q, Ke Y, Zhang D, et al. (2018) Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique Remote Sensing. 10: 1006
Deng Z, Ke Y, Gong H, et al. (2017) Land subsidence prediction in Beijing based on PS-InSAR technique and improved Grey-Markov model Giscience & Remote Sensing. 54: 797-818
Ke Y, Im J, Park S, et al. (2017) Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration Isprs Journal of Photogrammetry and Remote Sensing. 126: 79-93
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