本数据集基于1985 年和 2020 年 China Land Cover Dataset（CLCD）土地利用数据，用于构建长江上游流域SWAT+模型所需的土地利用输入数据、分析长江上游流域土地利用空间格局及其变化特征。
", "ds_source": "本数据集来源于 China Land Cover Dataset（CLCD）数据集（数据来源：https://zenodo.org/records/18180184）。CLCD 基于 Landsat 遥感影像，依托 Google Earth Engine 平台，采用随机森林分类方法生成，具有较高的空间分辨率和良好的时序一致性。与多种主流土地覆盖产品相比，CLCD 在精度和一致性方面表现较优，能够较好反映中国区域土地利用变化特征。
", "ds_process_way": "利用 QGIS 软件对原始 DEM 进行裁剪和重投影处理，使其空间范围和坐标系统符合 SWAT+ 模型输入要求。
", "ds_quality": "数据比较准确，达到精度要求。
", "ds_acq_start_time": "1985-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "长江上游流域", "ds_acq_lon_east": 112.0, "ds_acq_lat_south": 24.0, "ds_acq_lon_west": 90.0, "ds_acq_lat_north": 36.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 5416587410, "ds_files_count": 4, "ds_format": "*.tif", "ds_space_res": "30 m × 30 m", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "albert", "ds_thumbnail": "1e7fb64e-e664-4a7b-85f9-ab1b283e02be.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "44547705-9513-4685-a641-661bdf406520", "ds_serv_man": "", "ds_serv_phone": "", "ds_serv_mail": "", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-07-13 15:42:50", "last_updated": "2026-07-20 09:41:51", "protected": false, "protected_to": "2027-01-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.reservoir.db7546.2026", "i18n": { "en": { "title": "Land use dataset of the Upper Yangtze River Basin（1985,2020）", "ds_format": "*.tif", "ds_source": "This dataset is derived from the China Land Cover Dataset (CLCD) dataset (Data source: https://zenodo.org/records/18180184). CLCD is based on Landsat remote sensing images, relies on the Google Earth Engine platform, and is generated using random forest classification methods. It has high spatial resolution and good time series consistency. Compared with various mainstream land cover products, CLCD performs better in terms of accuracy and consistency, and can better reflect the characteristics of regional land use change in China.
", "ds_quality": "The data is relatively accurate and meets the accuracy requirements.
", "ds_ref_way": "", "ds_abstract": "This dataset is based on 1985 and 2020 China Land Cover Dataset (CLCD) land use data. It is used to build the land use input data required for the SWAT+ model in the upper reaches of the Yangtze River Basin, and to analyze the spatial pattern of land use in the upper reaches of the Yangtze River Basin and its change characteristics.
", "ds_time_res": "year", "ds_acq_place": "the upper reaches of the Yangtze River", "ds_space_res": "30 m × 30 m", "ds_projection": "", "ds_process_way": "QGIS software is used to cut and reproject the original DEM to make its spatial range and coordinate system meet the SWAT+ model input requirements.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "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, "belong_to_nieer": false, "allow_update_data": false, "ds_topic_tags": [ "土地利用", "土地覆盖", "CLCD", "LUCC", "长江上游流域" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "长江上游流域" ], "ds_time_tags": [ 1985, 2020 ], "ds_contributors": [ { "true_name": "韩钰", "email": "hanyu@hhu.edu.cn", "work_for": "河海大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "韩钰", "email": "hanyu@hhu.edu.cn", "work_for": "河海大学", "country": "中国" } ], "ds_managers": [ { "true_name": "韩钰", "email": "hanyu@hhu.edu.cn", "work_for": "河海大学", "country": "中国" } ], "category": "其他" }