《Table 1 Metadata summary of validation of globeLand30 in China with a LSI-based sampling approach》下

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《基于景观形状指数抽样的GlobeLand30（2010）中国区精度验证》

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As shown in Table 2，an LSI-based sampling approach considers the distribution of rare classes in China（shrub land，wetland，water bodies，artificial surfaces and permanent snow and ice）and obtains sufficient sample numbers for rare classes and optimal sample distributions in geographical space.Thus，a more precise accuracy is achieved for rare classes using the LSI approach.It should be noted that the tundra area in China is very small，and due to its limited distribution it was not included in the validation.