甘肃省30米的土地利用数据共包括10个一级类，分别是：耕地、林地、草地、灌木地、湿地、水体、苔原、人造地表、裸地、冰川和永久积雪。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。云量控制在云量允许情况下的遥感影像。分为10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）、苔原（代码70）、人造地表（代码80）、裸地（代码90）、冰川和永久积雪（代码100）。\n
\n掩膜提取甘肃省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83.50%以上，Kappa系数0.78以上。\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": "甘肃省", "ds_acq_lon_east": 108.71305555555556, "ds_acq_lat_south": 32.596111111111114, "ds_acq_lon_west": 92.33777777777777, "ds_acq_lat_north": 42.79333333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 176768909, "ds_files_count": 19, "ds_format": "栅格", "ds_space_res": "30米", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "4e1590d3-f895-4a7b-8a1c-c087490bb333.png", "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": "526ff655-4cd4-4650-bb86-6fd3481dfb65", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-08-23 16:35:44", "last_updated": "2025-06-30 16:30:16", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GSEER.DB3983.2023", "i18n": { "en": { "title": "Land use LC30 meter dataset in Gansu Province (2000, 2010, 2020)", "ds_format": ".tif", "ds_source": "
Data source: http://www.globallandcover.com/", "ds_quality": "
The overall accuracy of land use data for the years 2000, 2010, and 2020 is above 83.50%, with a Kappa coefficient of above 0.78.\n
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The land use data of 30 meters in Gansu Province includes 10 primary categories, namely: cultivated land, forest land, grassland, shrubland, wetland, water body, tundra, artificial surface, bare land, glacier, and permanent snow cover. It contains rich information on the spatial distribution of land cover, which better describes the land use status and spatial distribution.
", "ds_time_res": "年", "ds_acq_place": "Gansu Province", "ds_space_res": "30米", "ds_projection": "", "ds_process_way": "The dataset mainly uses 30 meter multispectral images (Landsat series multispectral images) and 16 meter resolution multispectral images from GF-1 WFV sensors for image classification. Remote sensing images with cloud cover controlled within the allowable cloud cover. It is divided into 10 primary categories, namely cultivated land (code 10), forest land (code 20), grassland (code 30), shrubland (code 40), wetland (code 50), water body (code 60), tundra (code 70), artificial surface (code 80), bare land (code 90), glacier and permanent snow cover (code 100).\n
\nMask extraction of land use data with a spatial resolution of 30 meters in Gansu Province for the years 2000, 2010, and 2020.", "ds_ref_instruction": "\r\nWhen using data, users should clearly declare the source of the data in the main text and cite the citation method provided by this metadata in the reference 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", "土地覆被", "30米" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省" ], "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" }