渭河流域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以渭河流域为研究区域，掩膜提取渭河流域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": "渭河流域", "ds_acq_lon_east": 110.27444444444444, "ds_acq_lat_south": 33.69611111111111, "ds_acq_lon_west": 103.9713888888889, "ds_acq_lat_north": 37.40833333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 39875354, "ds_files_count": 4, "ds_format": "tif", "ds_space_res": "30", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "f825755b-29b0-4e30-be22-c2cc2b18bd2e.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0d5fea4e-6fd7-4c70-b28b-3f91204c579a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-28 17:41:11", "last_updated": "2025-05-29 11:35:54", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.WRiver.2021.14", "i18n": { "en": { "title": "Land use LC30-meter dataset for the Weihe River Basin (2000, 2010, 2020)", "ds_format": "tif", "ds_source": "
Data from: http://www.globallandcover.com/.", "ds_quality": "
The overall accuracy of the land use data for the years 2000, 2010, and 2020 is above 83.50%, with a Kappa coefficient of 0.78 or higher.\n
Data quality is good.", "ds_ref_way": "", "ds_abstract": "
The 30-meter land-use data of the Weihe River Basin include a total of 10 level 1 classes, which are: cropland, woodland, grassland, shrubland, wetland, water body, tundra, man-made surface, bare ground, glacier and permanent snow. It contains rich information on the spatial distribution of surface cover, which better describes the land use status and spatial distribution.
", "ds_time_res": "年", "ds_acq_place": "Weihe River Basin", "ds_space_res": "30", "ds_projection": "", "ds_process_way": "The dataset classifies images mainly using 30-meter multispectral imagery (Landsat series multispectral imagery), and 16-meter resolution multispectral imagery from the Gaofen-1 (GF-1) WFV sensor. The cloudiness is controlled in the remote sensing images when the cloudiness permits. Divided into 10 level 1 classes, which are cropland (code 10), woodland (code 20), grassland (code 30), shrubland (code 40), wetland (code 50), water body (code 60), tundra (code 70), man-made surface (code 80), bare ground (code 90), glacier and permanent snow (code 100).\n
\nTaking the Weihe River Basin as the study area, the mask extracted land use data with a spatial resolution of 30 meters for the Weihe River Basin in 2000, 2010 and 2020.", "ds_ref_instruction": "" } }, "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": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "渭河流域" ], "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" }