%0 Dataset
%T Land Use Data for Yakutsk in 1992, 2001, 2010, and 2020
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U https://www.ncdc.ac.cn/portal/metadata/dd4de060-a557-4532-b430-9f4d29b43943
%W NCDC
%R 10.12072/ncdc.db7786.2026
%A Li Xianglong
%A Zhang Ze
%A Yan Qingkai
%A Zhang Shengrong
%K permafrost;land use;Yakutsk;urbanization
%X This dataset contains land use/land cover (LU/LC) classification data for the study area in 1992, 2001, 2010 and 2020. The random forest method was used to classify the preprocessed remote sensing images, and the land use types were divided into four categories: construction land, vegetation, water body and bare land. 200 ground verification points were randomly selected for each category and combined with Google Earth images in the same period or adjacent periods for accuracy verification. The classification results were evaluated using overall accuracy, user accuracy and producer accuracy. The overall accuracy of the four-phase classification results reached 92%, indicating that the classification results are highly reliable.