该数据集包含了咸海流域2000-2020年11年的土地利用栅格数据。该数据集是在欧洲航天局的气候变化倡议土地覆盖地图基础上，经过叠加咸海流域边界矢量数据进行掩膜处理、类别合并，最终得到自然植被、人工植被、水体、裸地、湿地、冰雪、城市与建筑区域7个土地利用类型的一级类数据，WGS-1984坐标系，空间分辨率300米，整体准确率达到80%。
", "ds_source": "该数据集来源于欧洲航天局的气候变化倡议土地覆盖地图（http://maps.elie.ucl.ac.be/CCI）。
", "ds_process_way": "在土地覆盖地图的基础上用咸海流域的边界数据进行掩膜处理，提取出咸海流域的土地利用，同时，根据一定的规则进行合并，将原始的二级类数据合并为包含7个土地利用类型的一级类数据，坐标系为：WGS-1984，空间分辨率300米。
", "ds_quality": "该数据集的整体准确率达到80%。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 42087483, "ds_files_count": 1, "ds_format": "栅格数据", "ds_space_res": "300", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "7aecd827-69d8-472b-b0a6-aedd61037d5f.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 1, "publish_time": "2025-03-25 20:57:54", "first_publish_time": null, "last_updated": "2025-04-01 15:47:01", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00315", "license": null, "extra": null, "files_shape": [ { "name": "2000-2020年咸海流域300米土地利用数据.rar", "size": 42087483, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "2000-2020 300-meter land use data set in the Aral Sea Basin", "ds_abstract": "This dataset contains land use raster data for the Aral Sea Basin for 11 years from 2000 to 2020. This dataset is based on the European Space Agency's climate change initiative land cover map, superimposed on the Aral Sea Basin boundary vector data for masking and category merging, and finally obtained natural vegetation, artificial vegetation, water bodies, bare land, wetlands, ice and snow, urban and building areas. Class I data of seven land use types, WGS-1984 coordinate system, spatial resolution of 300 meters, and overall accuracy of 80%.
", "ds_source": "The dataset is derived from the European Space Agency's Climate Change Initiative Land Cover Map (http://maps.elie.ucl.ac.be/CCI).
", "ds_process_way": "On the basis of the land cover map, the boundary data of the Aral Sea Basin is masked to extract the land use of the Aral Sea Basin. At the same time, the original secondary data is merged according to certain rules, and the original secondary data is merged into seven land use types. Class data, the coordinate system is: WGS-1984, and the spatial resolution is 300 meters.
", "ds_quality": "The overall accuracy of this dataset reaches 80%.
", "ds_format": "raster data", "ds_projection": "UTM", "ds_space_res": "300", "ds_time_res": "years" } }, "license_type": null, "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "土地覆被", "土地利用" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ "刘铁", "钱静" ], "ds_meta_authors": [ "钱静", "刘铁" ], "ds_managers": [ "刘铁" ], "category": "遥感再分析数据" }