| Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. | 1 | 0.40 | 2019 |
| Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. | 0 | 0.34 | 2018 |
| Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. | 1 | 0.37 | 2018 |
| DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. | 7 | 0.46 | 2017 |
| Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. | 0 | 0.34 | 2017 |
| Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US. | 2 | 0.40 | 2016 |
| A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture | 8 | 0.65 | 2015 |
| Satellite Irrigation Management Support With the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management | 6 | 1.75 | 2012 |
| River Temperature Forecasting: A Coupled-Modeling Framework for Management of River Habitat | 0 | 0.34 | 2012 |
| A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data | 0 | 0.34 | 2010 |
| Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine | 25 | 2.76 | 2006 |
