Published December 25, 2023 | Version v2

A High-Density Land cover Validation dataset in Xinjiang—HDLV-XJ

Description

A 2020 High-Density Land cover Validation dataset in Xinjiang. To ensure a sufficient number of samples in complex areas and to position appropriate sampling points in homogeneous and heterogeneous areas, the equal-area stratified random sampling method based on multiple indicators was utilized. 

The HDLV_XJ includes 20,932 validation samples. It considerably higher sample numbers for each land cover type compared to the other datasets.The HDLV-XJ provides representative validation data with sufficient samples for rare categories, enabling a more accurate assessment of the accuracy of land cover products in the Xinjiang. We provide an xls file of this validation dataset and the code used in constructing the dataset.

 

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