The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c

The mapped global annual urban dynamics (GAUD) and green recovery from 1985 to 2015 at a 30-m resolution. This part of data is organized by 10-degree grids (totally 224). Shapefiles of 10-degree grids can be found in "grids_world.zip". Urban expansion data is packaged in "urban_grid_i.zip" (i ranges from 0 to 223). Green recovery data is packaged in "green_grid_0-223.zip". Their format is GeoTiff, and for each pixel, values from 1985 to 2015 demonstrate the urbanized or green recovery year, while 0 means no data. (2) The interpreted samples of urban extent in 1985 and 2015, and urbanized year during 1985 and 2015. This part of data is for examining the accuracies of our data fusion and temporal segmentation approach. Interpreted urban extent is packaged in "Ref_tif_clip_1985.rar" and "Ref_tif_clip_2015.rar". Its format is GeoTiff, and for each pixel, value 1 means urban areas, while 0 means non-urban areas. Valid samples of urbanized year can be found in "validation_urbanized_year.xls". (3) A demo of NUACI calculation and urbanized years dectection can be found at link: https://code.earthengine.google.com/1c901129fa8c9d81b292824e8fb4ff1c

CO2 emissions from fossil fuel combustion, cement production and gas flaring.CDIAC (2020 release, 2000-2017) and its projection using the BP Statistical Review of World Energy (2018 and 2019). odiac2020b_1x1d_2000.nc odiac2020b_1x1d_2001.nc odiac2020b_1x1d_2002.nc odiac2020b_1x1d_2003.nc odiac2020b_1x1d_2004.nc odiac2020b_1x1d_2005.nc odiac2020b_1x1d_2006.nc odiac2020b_1x1d_2007.nc odiac2020b_1x1d_2008.nc odiac2020b_1x1d_2009.nc odiac2020b_1x1d_2010.nc odiac2020b_1x1d_2011.nc odiac2020b_1x1d_2012.nc odiac2020b_1x1d_2013.nc odiac2020b_1x1d_2014.nc odiac2020b_1x1d_2015.nc odiac2020b_1x1d_2016.nc odiac2020b_1x1d_2017.nc odiac2020b_1x1d_2018.nc odiac2020b_1x1d_2019.nc

gridmaker格网生成工具，当然你也也可用arcgis中fishnet工具生成

全球地形坡度和坡向数据5分格网——数量统计.rar

全球地形坡度和坡向数据5分格网——平均海拔.rar

包含东西南北和未分类的坡向

测绘技能大赛试题集，需要了解测绘技能大赛相关过程的可以下载。 The set of examination questions of the surveying and Mapping skills Competition can be downloaded if you need to understand the relevant process of the surveying and Mapping skills Competition.

规则格网生成程序，输入的大小和影响范围，然后读入点数据，就可以很快的生成格网

在中国824个气象台站1951-2012年最低气温观测记录基础上，采用7种不同的计算模型，分别计算出中国无霜期时空变化7种不同的数据产品，内容包括：（1）多年平均无霜期空间分布数据、（2）无霜期标准差空间分布数据，（3）初霜日标准差空间分布数据（4）终霜日标准差空间分布数据、（5）初霜日线性倾向率空间分布数据（6）终霜日线性倾向率空间分布数据（7）无霜期线性倾向率空间分布数据。