Subpixel Urban Mapping Over the Conterminous U.S. (CONUS) Using S-NPP VIIRS
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[1] M. Rosegrant,et al. Global Food Security: Challenges and Policies , 2003, Science.
[2] Rui Zhang,et al. Development of S-NPP VIIRS global surface type classification map using support vector machines , 2018, Int. J. Digit. Earth.
[3] C. Vörösmarty,et al. Global water resources: vulnerability from climate change and population growth. , 2000, Science.
[4] N. Alexandratos. Countries with Rapid Population Growth and Resource Constraints: Issues of Food, Agriculture, and Development , 2005 .
[5] M. Friedl,et al. Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights , 2016 .
[6] Christopher O. Justice,et al. Early evaluation of the VIIRS calibration, cloud mask and surface reflectance Earth data records , 2014 .
[7] J. Townshend,et al. Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .
[8] Alan H. Strahler,et al. Global land cover mapping from MODIS: algorithms and early results , 2002 .
[9] Suming Jin,et al. Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information , 2015 .
[10] Xiaoxiong Xiong,et al. Early On-Orbit Performance of the Visible Infrared Imaging Radiometer Suite Onboard the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[11] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[12] Simon J. Hook,et al. A Physics-Based Algorithm for the Simultaneous Retrieval of Land Surface Temperature and Emissivity From VIIRS Thermal Infrared Data , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[13] James D. Wickham,et al. Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD). , 2017, Remote sensing of environment.
[14] C. Elvidge,et al. Why VIIRS data are superior to DMSP for mapping nighttime lights , 2013 .