全球10米地表覆盖(FROM-GLC10 2017v1)产品是基于2017年在《科学通报》发表的全球首套多季节样本库(涵盖从2014年和2015年的Landsat8影像,由专家解译得到的均匀覆盖全球的多季节样本),将该样本库中样本应用于2017年获取的Sentinel-2影像,采用随机森林分类器得到全球10米地表覆盖图。前言 – 床长人工智能教程 FROM-GLC...
全球土地覆盖10米的更精细分辨率观测和监测（FROM-GLC10）旨在利用2017年卫星传感器获取的10米分辨率图像进行分类。研究通过与2017年30米全球土地覆盖图FROM-GLC30比较10米分辨率地图FROM-GLC10，发现10米地图提供了更多空间细节，虽然总体精度与30米数据相当，但实际精度需通过10米分辨率数据测试样本评估。详情...
This dataset contains annual change information of global impervious surface area from 1985 to 2018 at a 30m resolution. Change from pervious to impervious was determined using a combined approach of supervised classification and temporal consistency checking. Impervious pixels are defined as above 50% ...
2 #1A492C 2017 3 #071EC4 2016 4 #B5CA36 2015 5 #729EAC 2014 6 #8EA5DE 2013 7 #818991 2012 8 #62A3C3 2011 9 #CCF4FE 2010 10 #74F0B9 2009 11 #32BC55 2008 12 #C72144 2007 13 #56613B 2006 14 #C14683 2005 15 #C31C25 2004 16 #5F6253 2003 17 #11BF85 2002 18 #...
This dataset contains annual change information of global impervious surface area from 1985 to 2018 at a 30m resolution. Change from pervious to impervious was determined using a combined approach of supervised classification and temporal consistency checking. Impervious pixels are defined as above 50% ...