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Dataset of Global Land Degrading and Improving Assessment at 500 m (2000-2018)


GAO Zhihai1LI Zengyuan1SUN Bin1DING Xiangyuan1LI Yifu1GAO Ting1QIN Pengyao1WANG Bengyu1YAN Ziyu1
1Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100101,China

DOI:10.3974/geodb.2019.06.02.V1

Published:Nov. 2019

Visitors:467       Data Files Downloaded:57      
Data Downloaded:7710.22 MB      Citations:

Key Words:

global,land degradation,assessment,500m,GEOARC

Abstract:

The dataset of global land degrading and improving assessment at 500 m (2000-2018) was developed based on the grid dataset of global land degradation trend at 500 m (2000-2018) and the evaluation of land degradation and land improvement. In the dataset, the assessment of global land degradation is divided into two levels of evaluation system. At the first level, there are three types including degradation type, improvement type and no change type. At the second level, there are nine types, including slight degradation (-3), moderate degradation (-6), significant degradation (-9) and very significant degradation (- 12); slight improvement (3), moderate improvement (6), significant improvement (9) and very significant improvement (12); and the type of no change (0). The dataset covers the global terrestrial area excluding the Antarctica, and it is divided into 16 group .tif files (96 data files in total), each file spans 45 longitudes from east to west and 65 latitudes from north to south. The data size of the dataset is 163 MB (Compressed to one single file with 135 MB). The dataset was used for the 2019 report on Global Ecosystem and Environment Observation Analysis Research Cooperation (GEOARC) – Trend in Global Land Degradation since 2000.

Foundation Item:

Data Citation:

GAO Zhihai,LI Zengyuan,SUN Bin,DING Xiangyuan,LI Yifu,GAO Ting,QIN Pengyao,WANG Bengyu,YAN Ziyu.Dataset of Global Land Degrading and Improving Assessment at 500 m (2000-2018)[DB/OL].Global Change Research Data Publishing & Repository,2019.DOI:10.3974/geodb.2019.06.02.V1.

Data Product:

ID Data Name Data Size Operation
1 GlobalLandDegradAssess500m.rar 138513.41KB DownLoad
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum