泾河流域30米的土地利用数据共包括8个一级类，分别是：耕地、森林、草地、灌木地、湿地、水体、人造地表、裸地。包含了丰富的地表覆盖空间分布信息，更好的描述土地利用状况和空间分布。", "ds_source": "
数据来源于：http://www.globallandcover.com/。", "ds_process_way": "
该数据集分类影像主要使用30米多光谱影像（Landsat系列多光谱影像），高分一号(GF-1)WFV传感器16米分辨率多光谱影像。云量控制在10%以下。分为8个一级类，分别为耕地（代码10）、林地（代码20）、草地（代码30）、灌木地（代码40）、湿地（代码50）、水体（代码60）、人造地表（代码80）、裸地（代码90）。\n
\n以泾河流域为研究区域，掩膜提取泾河流域2000年、2010年、2020年空间分辨率为30米的土地利用数据。", "ds_quality": "
2000年、2010年、2020年土地利用数据的总体精度在85%以上，Kappa系数0.85以上。\n
\n数据质量良好。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "泾河流域", "ds_acq_lon_east": 108.86583333333333, "ds_acq_lat_south": 34.65, "ds_acq_lon_west": 106.19166666666668, "ds_acq_lat_north": 37.39888888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 15590785, "ds_files_count": 4, "ds_format": "栅格", "ds_space_res": "30米", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "b236165b-1edb-4cac-90e4-c2d89007adad.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "bf1ae243-c102-4b2d-a2f6-b698468f4401", "ds_serv_man": "敏玉芳", "ds_serv_phone": " 0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.JRiver.db1974.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-08 08:47:49", "last_updated": "2025-06-30 15:52:26", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.JRiver.db1974.2022", "i18n": { "en": { "title": "Land use lc30m data set of Jinghe River Basin (2000, 2010 and 2020)", "ds_format": "raster data", "ds_source": "
Data source: http://www.globallandcover.com/ .", "ds_quality": "
The overall accuracy of land use data in 2000, 2010 and 2020 is more than 85%, and the kappa coefficient is more than 0.85.\n
\nGood data quality.", "ds_ref_way": "", "ds_abstract": "
The land use data of 30m in Jinghe River basin includes 8 first-class categories: cultivated land, forest, grassland, shrub land, wetland, water body, artificial surface and bare land. It contains rich information about the spatial distribution of land cover, which can better describe the land use status and spatial distribution.
", "ds_time_res": "年", "ds_acq_place": "Jinghe River Basin", "ds_space_res": "30米", "ds_projection": "", "ds_process_way": "The classified images of the data set mainly use 30m multispectral images (Landsat series multispectral images) and 16m resolution multispectral images of gaogao-1 (GF-1) WFV sensor. The cloud amount controls the remote sensing image when the cloud amount allows. It is divided into eight first-class categories, namely cultivated land (code 10), forest land (code 20), grassland (code 30), shrub land (code 40), wetland (code 50), water body (code 60), artificial surface (code 80) and bare land (code 90).\n
\nTaking the Jinghe River Basin as the research area, the land use data with spatial resolution of 30m in 2000, 2010 and 2020 were extracted by mask.", "ds_ref_instruction": "When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the References section." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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, "ds_topic_tags": [ "土地利用", "30米" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "泾河流域" ], "ds_time_tags": [ 2000, 2010, 2020 ], "ds_contributors": [ { "true_name": "张耀南", "email": "yaonan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李红星", "email": "lihongxing@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "基础地理" }