The GLS+: An Enhancement of the Global Land Survey Datasets
暂无分享,去创建一个
Min Feng | John R. G. Townshend | Joseph O. Sexton | Saurabh Channan | Anupam Anand | Xiao-Peng Song | Praveen Noojipady | Kathrine M. Collins | Do-Hyung Kim | Dan-Xia Song | J. Townshend | P. Noojipady | J. Sexton | S. Channan | M. Feng | Do-Hyung Kim | A. Anand | D. Song | Xiao‐peng Song | K. M. Collins
[1] Jeffrey G. Masek,et al. Large Area Scene Selection Interface (LASSI): Methodology of Selecting Landsat Imagery for the Global Land Survey 2005. , 2009 .
[2] Min Feng,et al. A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm , 2016, Int. J. Digit. Earth.
[3] Michael A. Wulder,et al. Opening the archive: How free data has enabled the science and monitoring promise of Landsat , 2012 .
[4] S. Goward,et al. Characterization of the Landsat-7 ETM Automated Cloud-Cover Assessment (ACCA) Algorithm , 2006 .
[5] D. Roy,et al. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States , 2010 .
[6] Chengquan Huang,et al. Quality assessment of Landsat surface reflectance products using MODIS data , 2012, Comput. Geosci..
[7] C. Justice,et al. Towards monitoring land-cover and land-use changes at a global scale: the global land survey 2005 , 2008 .
[8] Chengquan Huang,et al. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error , 2013, Int. J. Digit. Earth.
[9] D. Roy,et al. The suitability of decadal image data sets for mapping tropical forest cover change in the Democratic Republic of Congo: implications for the global land survey , 2008 .