Hongbo Su, Ph.D.
Affiliations: | 2008 | Princeton University, Princeton, NJ |
Area:
Environmental Engineering, Remote SensingGoogle:
"Hongbo Su"Cross-listing: Envirotree
Parents
Sign in to add mentorEric Franklin Wood | grad student | 2008 | Princeton | |
(An evaluation of retrieving terrestrial evapotranspiration from remotely sensed data.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Zhang C, Su H, Li T, et al. (2020) Modeling and Mapping High Water Table for a Coastal Region in Florida using Lidar DEM Data. Ground Water |
Jiang B, Su H, Liu K, et al. (2020) Assessment of Remotely Sensed and Modelled Soil Moisture Data Products in the U.S. Southern Great Plains Remote Sensing. 12: 2030 |
Liu S, Su H, Zhang R, et al. (2019) Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration Advances in Meteorology. 2019: 1-13 |
Tian J, Deng X, Su H. (2019) Intercomparison of two trapezoid-based soil moisture downscaling methods using three scaling factors International Journal of Digital Earth. 12: 485-499 |
Khadim FK, Su H, Xu L, et al. (2019) Soil salinity mapping in Everglades National Park using remote sensing techniques and vegetation salt tolerance Physics and Chemistry of the Earth. 110: 31-50 |
Liu K, Su H, Li X, et al. (2018) A Thermal Disaggregation Model Based on Trapezoid Interpolation Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 808-820 |
Liu K, Su H, Tian J, et al. (2018) Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration International Journal of Remote Sensing. 39: 3111-3137 |
Liu S, Su H, Tian J, et al. (2018) An analysis of spatial representativeness of air temperature monitoring stations Theoretical and Applied Climatology. 132: 857-865 |
Liu K, Su H, Li X. (2017) Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery Remote Sensing. 9: 455 |
Yang Y, Qiu J, Su H, et al. (2017) A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature Remote Sensing. 9: 43 |