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GlobeLand30

http://geospatialworldforum.org/speaker/SpeakersImages/Chen%20Jun.pdf http://data.ess.tsinghua.edu.cn/

About FROM-GLC​

Global land cover data are key sources of information for understanding the complex interactions between human activities and global change. FROM-GLC (Finer Resolution Observation and Monitoring of Global Land Cover) is the first 30 m resolution global land cover maps produced using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. Our long-term goal in FROM-GLC is to develop a multiple stage approach to mapping global land cover so that the results can better meet the needs of land process modeling and can be easily cross-walked to existing global land cover classification schemes.

FROM GLC10 2017​

Reference​

Gong P., et al., 2019. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017,Science Bulletin.https://doi.org/10.1016/j.scib.2019.03.002

data:​

FROM GLC 2017 V0.1.3 with minor improvements.

source ~/proyectos/CES/cesdata/env/project-env.sh


mkdir -p $GISDATA/landcover/global/FROM-GLC10/2017-V0.1.3
cd $GISDATA/landcover/global/FROM-GLC10/2017-V0.1.3
wget http://data.ess.tsinghua.edu.cn/fromglc10_2017v01.html
wget -b --continue --force-html -i fromglc10_2017v01.html


Classification​

NameCode
Cropland1
Forest2
Grassland3
Shrubland4
Wetland5
Water6
Tundra7
Impervious surface8
Bareland9
Snow/Ice10

Global validation sample set (v1) :

cd $GISDATA/landcover/global/FROM-GLC10/
wget http://data.ess.tsinghua.edu.cn/data/temp/GlobalLandCoverValidationSampleSet_v1.xlsx

Older versions:​

FROM-GLC-Hierarchy FROM-GLC-Hierarchy (Yu et al., 2014) is land cover dataset with multi-resolution (i.e. 30 m, 250 m, 500 m, 1 km, 5 km, 10 km, 25 km, 50 km, 100 km) to meet requirements for different resolutions from different applications. The 30 m base map was improved from FROM-GLC-agg with additional coarse resolution datasets (i.e., MCD12Q1 (Friedl et al., 2010), GlobCover2009 (Bontemps et al., 2010) etc.) to reduce land cover type confusion. Around 1.1% pixels were replaced by coarse resolution products. Validation based assessments indicate the accuracy for land cover maps at 30 m, 250 m, 500 m, 1 km resolutions are 69.50%, 76.65%, 74.65%, and 73.47%, respectively. Further analysis of area-estimation biases for different land cover types at different resolutions suggests that maps at coarser than 5 km resolution contain at least 5% area estimation error for most land cover types. Proportion layers, which contain precise information on land cover percentage, are suggested for use when coarser resolution land cover data are required.

MODIS tiles in http://modis-land.gsfc.nasa.gov/MODLAND_grid.html http://data.ess.tsinghua.edu.cn/data/FROMGLC_Hierarchy_MODISLIKE_GZ/

mkdir -p $MPTC/FROMGLC
cd $MPTC/FROMGLC
curl -O -C - http://data.ess.tsinghua.edu.cn/data/FROMGLC_Hierarchy_MODISLIKE_GZ/FROM_GLC_Hierarchy_h[09-14]v[07-14].tar.gz

##NorteAmerica
curl -O -C - http://data.ess.tsinghua.edu.cn/data/FROMGLC_Hierarchy_MODISLIKE_GZ/FROM_GLC_Hierarchy_h[07-14]v[03-07].tar.gz
curl -O -C - http://data.ess.tsinghua.edu.cn/data/FROMGLC_Hierarchy_MODISLIKE_GZ/FROM_GLC_Hierarchy_h[07-14]v07.tar.gz

for i in `ls *tar.gz`;
do tar --wildcards -xzvf $i '*_250m_Majority.tif';
done

##gdal_merge.py -ul_lr -90 15 -25 -60 -o FROMGLC.SAM.tif *_250m_Majority.tif
gdalwarp -t_srs '+proj=longlat +datum=WGS84' -te -90 -60 -25 15 *_250m_Majority.tif FROMGLC.SAM.tif
##rm FROMGLC.NAC.tif
gdalwarp -t_srs '+proj=longlat +datum=WGS84' -te -138 3 -40 60 *_250m_Majority.tif FROMGLC.NAC.tif

rm *250m_Majority.tif