# Analysis and Applications of GlobeLand30: A Review
## 3 User Analysis  
### Geographical Distribution  
GlobeLand30 has been downloaded by more than 7000 users since its release for open access in 2014. Over 5000 users are registered in the GlobeLand30 data platform [25]. The other users downloaded data from Global Change Research Data Publishing and Repository [45]. The downloading frequency of GlobeLand30 data tiles is shown in Figure 3, where the darker color represents the higher downloading frequency, and the areas with slashes represent the countries with registered users. Higher downloading is concentrated in developing countries (such as those in Africa and Asia), thereby accounting for over 72%. Kenya, Tanzania, and Uganda have the highest downloading frequencies in Africa. The areas with the highest frequencies in Asia are in South and South East Asia, especially in India, Pakistan, Nepal, Myanmar, Thailand, and Laos. One reason might be the limited high quality and open access land cover datasets in these areas. The other reason is that some of these areas are of interest or are hot spots. For examples, GlobeLand30 datasets have been used to land cover studies, and disaster mapping and assessment in Nepal and Myanmar [15; 46; 47].  
As of April 2017, users from over 120 countries have downloaded GlobeLand30. The top ten countries with the most user numbers are China, the U.S., India, the UK, Germany, Canada, France, Brazil, The Netherlands, and Russia. Most of the users come from universities, research institutions,  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Scale** & **Region** & **Classes for Evaluation** & **Accuracy** & **References** \\ \hline \multirow{3}{*}{Sub-continental} & Central Asia & 10 classes & 46.0\% & [PERSON] et al., 2016 [35] \\  & East Africa & Cropland & 83.1\% & [PERSON], 2015 [39] \\ \hline \multirow{7}{*}{National} & China & 10 classes & 82.4\% & [PERSON] et al., 2017 [31] \\  & Iran & 10 classes & 77.9\% & [PERSON] et al., 2016b [28] \\  & Italy & 10 classes & 80.0\% & [PERSON] et al., 2015 [29] \\  & Nepal & 10 classes & 80.1\% & [PERSON] et al., 2016 [32] \\  & Portugal & 10 classes & 77.0\% & [PERSON], 2016 [34] \\  & China & Cropland & 79.6\% & [PERSON] et al., 2016 [40] \\  & China & Forest & 87.0\% & [PERSON] et al., 2015 [41] \\ \hline \multirow{7}{*}{Regional} & Siberia, Russia & 10 classes & 86.9\% & [PERSON] et al., 2015a [42] \\  & Kyiv Oblast, Ukraine & 10 classes & 89.7\% & [PERSON] et al., 2015 [33] \\ \cline{1-1}  & Henan Province, China & 10 classes & 81.5\% & [PERSON] et al., 2016 [43] \\ \cline{1-1}  & Thessaly, Greece & Water & 91.9\% & [PERSON] et al., 2015 [30] \\ \cline{1-1}  & Shaanxi province, China & Cropland & 80.6\% & [PERSON] et al., 2017 [44] \\ \hline \hline \end{tabular}
\end{table}
Table 2: Examples of accuracy evaluation of GlobeLand30 from published articles.  
Figure 3: User’s geographical distribution and download frequency of GlobeLand30.  
and government departments. More specifically, more than half of users are from the laboratories of universities, such as Harvard University, Princeton University, the University of Heidelberg, Peking University, and so on. One in every four users of GlobeLand30 are from scientific research institutions, such as the Joint Research Centre of the European Commission, the Institute for Global Environmental Strategies, the Helmholtz-Centre Potsdam-German Research Centre for Geosciences, and so on. Many UN agencies and non-governmental organizations are also users of GlobeLand30. For example, the UN Field Operation Department has used GlobeLand30 to assist the analysis and development of peacekeeping action plans in 18 countries. The UN Economic and Social Commission for Asia and the Pacific used GlobeLand30 to support drought management and land degradation. The UN Environment Programme's World Conservation Monitoring Centre (UNEP-WCMC) used GlobeLand30 for the land cover analysis for the protected areas worldwide.