Shuang Li
Organization:
Bay Area Environmental Research Institute
NASA Ames Research Center
Email:
Business Phone:
Work:
(650) 604-2789
Business Address:
NASA Ames Research Center
Mail Stop: 232-21
Moffett Field, CA 94035
United StatesFirst Author Publications:
- Li, S., J. Weigand, and S. Ganguly (2017), The Potential for Climate Impacts from Widespread Deployment of Utility-Scale Solar Energy Installations: An Environmental Remote Sensing Perspective, J Remote Sensing &, Gis, 6, 1-6, doi:10.4172/2469-4134.1000190.
- Li, S., et al. (2017), Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI, Advances in Remote Sensing, 6, 147-159, doi:10.4236/ars.2017.62011.
- Li, S., and C. Potter (2012), Patterns of aboveground biomass regeneration in post-fire coastal scrub communities, GIScience & Remote Sensing, 49, 182-201.
- Li, S., C. Potter, and C. Hiatt (2012), Monitoring of Net Primary Production in California Rangelands Using Landsat and MODIS Satellite Remote Sensing, Natural Resources, 3, 56-65.
- Li, S., et al. (2012), Fusion of Hyperspectral and L-band SAR Data to Estimate Fractional Vegetation Cover in a Coastal California Scrub Community, Journal of Geophysics & Remote Sensing, 1, 104, doi:10.4172/jgrs.1000104.
- Li, S., and C. Potter (2012), Vegetation regrowth trends in post forest fire ecosystems across North America from 2000 to 2010, Natural Science, 4, 755-770, doi:10.4236/ns.2012.410100.
Co-Authored Publications:
- Kumar, U., et al. (2017), Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing, Remote Sens., 9, 1105, doi:10.3390/rs9111105.
- Huang, S., et al. (2016), Spatial variations in immediate greenhouse gases and aerosol emissions and resulting radiative forcing from wildfires in interior Alaska, Theoretical and Applied Climatology., 123, 581-592, doi:10.1007/s00704-015-1379-0.
- Basu, S., et al. (2015), A semiautomated probabilistic framework for tree-cover delineation from 1-m naip imagery using a high-performance computing architecture, IEEE Trans. Geosci. Remote Sens., 53, 5690-5708, doi:10.3390/rs9111105.
- Potter, C., and S. Li (2014), High Resolution Mapping of Soils and Landforms for the Desert Renewable Energy Conservation Plan (DRECP), NASA/Technical Memorandum, 2014-21857.
- Potter, C., S. Li, and R. Crabtree (2013), Changes in Alaskan Tundra Ecosystems Estimated from MODIS Greenness Trends, 2000 to 2010, Journal of Geophysics & Remote Sensing, 2, 107, doi:10.4172/2169-0049.1000107.
- Potter, C., et al. (2013), Changes in the Terrestrial Carbon Cycle of China during the 2010 Drought, Journal of Earth Science & Climatic Change, 4, 141, doi:10.4172/2157-7617.1000141.
- Fairweather, S., et al. (2012), A comparison of multispectral ASTER and hyperspectral AVIRIS multiple endmember spectral mixture analysis for sagebrush and herbaceous cover in Yellowstone, Photogrammetric Engineering & Remote Sensing, 78, 23-33.
- Potter, C., et al. (2012), Analysis of sapling density regeneration in Yellowstone National Park with hyperspectral remote sensing data, Remote Sensing of Environment, 121, 61-68.
- Potter, C., S. Li, and C. Hiatt (2012), Declining vegetation growth rates in the eastern United States from 2000 to 2010, Natural Resources, 3, 184-190, doi:10.4236/nr.2012.34025.