<p>Mask data in Xinjiang was extracted from the GlobeLand30 dataset, and the masked data still maintains the original framed form (5°(latitude)×6°(longitude)), the projection uses WGS_1984_UTM 6° zoning projection, the data spatial resolution is 30 meters, and the data time includes the three phases of 2000, 2010, and 2020. This dataset includes ten main types of surface coverage, which are cultivated land, forest, grassland, shrub, wetland, water body, tundra, artificial surface, bare land, glacier and permanent snow cover. For more information on GlobeLand30, please refer to the relevant introduction of the National Geographic Information Resource Catalog Service System (www.webmap.cn/commres.do? method=globeIndex）。</p> <p>The data center also provides raw data for GlobeLand30 Xinjiang. Users can view the metadata information of the raw data and land classification color symbols. </p>
GlobeLand30 dataset is an important achievement of the global land cover remote sensing mapping and key technology research project of China's National High-tech Research and Development Plan (863 Plan). The data is provided in the form of framed products. In the region of 60° north and south latitude, the framed products are divided according to the size of 5°(latitude)×6°(longitude); in the region of 60° north and south latitude, the framed products are divided according to the size of 5°(latitude)×12°(longitude) and projected according to the central meridian of the odd 6° band. The undivided data compression package contains five parts: classified result file, coordinate information file, classified image connection chart file, metadata file and explanatory file. GlobeLand30 dataset comes from the National Center for Basic Geographical Information and is downloaded from cloudcenter.tianditu.gov.cn/landCover
The GlobeLand30 dataset developed by China is the world's first set of 30-meter resolution global surface cover dataset. It contains richer and more detailed information on the spatial distribution of global surface cover and can better depict most human land use activities and the resulting landscape pattern.
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
