渭河作为黄河的最大支流，流量和含沙量对黄河均具有重要影响。开展河岸线时空演变监测是掌握流域内河道水文变化的重要基础。\n
该数据集以渭河干流甘肃段2008年、2015年和2022年三期的高分和资源卫星影像数据为底图，通过影像正射校正、影像配准、影像融合、镶嵌裁剪等处理，结合遥感影像的图像特征，采用交互解译的方法提取渭河甘肃段河岸线边界，包括渭河管理范围线、渭河临水边界线、渭河外缘边界线。\n
渭河干流岸线数据集可为渭河流域水文动态监测和驱动机制研究提供数据支撑，并为后续河湖岸线保护和河道生态治理提供科学决策依据。", "ds_source": "
本数据集河岸线时空变化数据生产来源于全色2m、多光谱8m的高分六号、一号卫星遥感影像和资源卫星数据为主，选取2008-2022年共38景影像数据，100%覆盖渭河干流甘肃段区域，单景云量覆盖均不大于10%。其中，2008年数据通过资源卫星数据提取；2015年数据采用几种类型的遥感卫星影像联合使用，主要以资源和高分一号卫星数据为主；2022年数据以高分六号卫星和高分一号B、C、D卫星数据为主。\n
坐标系统为CGCS2000国家大地坐标系，高程基准为1985国家高程基准，渭河流域矢量边界来源于国家地理信息平台。", "ds_process_way": "
基于航天泰坦超算处理平台，对高分和资源卫星影像数据通过正射校正、影像配准、影像融合、匀光匀色、影像镶嵌和分幅裁剪等处理步骤，最后通过遥感影像底图纹理、色调、位置、形状、范围和土地利用类型等特征进行比对，采用交互解译的方法对河岸线边界进行数字化提取。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2008-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "渭河干流甘肃段", "ds_acq_lon_east": 106.71333333333334, "ds_acq_lat_south": 34.19416666666666, "ds_acq_lon_west": 103.97166666666666, "ds_acq_lat_north": 35.855555555555554, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 3742573, "ds_files_count": 2, "ds_format": "shp", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "CGCS2000", "ds_projection": "", "ds_thumbnail": "ba490750-c917-494a-8d42-02bb8ee5e3a3.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "952adb3f-3ede-4a94-942a-7de772f1bfc5", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 3, "publish_time": "2023-09-21 10:19:24", "last_updated": "2026-05-28 10:26:22", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB3995.2023", "i18n": { "en": { "title": "Spatial variation dataset of riverbank lines in the Gansu section of the main stream of the Wei River (2008, 2015, and 2022)", "ds_format": "", "ds_source": "
The spatiotemporal variation data of the riverbank line in this dataset is mainly sourced from panchromatic 2m and multispectral 8m high-resolution satellite remote sensing images and resource satellite data. A total of 38 scene image data from 2008 to 2022 were selected, covering 100% of the Gansu section of the Weihe River Basin, with single scene cloud coverage not exceeding 10%.\r\n
The coordinate system is the CGCS2000 national geodetic coordinate system, and the elevation benchmark is the 1985 national elevation benchmark. The vector boundary of the Wei River Basin is sourced from the National Geographic Information Platform.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
&Emsp&Emsp As the largest tributary of the Yellow River, the flow rate and sediment concentration of the Wei River have significant impacts on the Yellow River. Conducting spatiotemporal evolution monitoring of riverbanks is an important foundation for understanding hydrological changes in river basins.\r\n
&Emsp& Emsp; This dataset is based on the high-resolution and resource satellite image data of the Gansu section of the main stream of the Wei River in 2008, 2015, and 2022. Through image orthorectified correction, image registration, image fusion, and mosaic cropping, combined with the image features of remote sensing images, interactive interpretation is used to extract the riverbank boundary of the Gansu section of the Wei River, including the Wei River management scope line, the Wei River waterfront boundary line, and the Wei River outer edge boundary line.\r\n
&Emsp& Emsp; The dataset of the main stream shoreline of the Wei River can provide data support for hydrological dynamic monitoring and driving mechanism research in the Wei River Basin, and provide scientific decision-making basis for subsequent river lake shoreline protection and river ecological governance.
", "ds_time_res": "", "ds_acq_place": "Gansu section of the main stream of the Wei River", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The 2022, 2015, and 2008 riverbank line datasets are mainly based on ArcGIS and ENVI software tools. High resolution and resource satellite data are processed through orthophoto correction, image registration, image fusion, tone processing, image mosaic, and frame cropping. Finally, features such as texture, color tone, position, shape, range, and land use type are compared through remote sensing image base map, Digitally extract the riverbank boundary using interactive interpretation methods.", "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, "ds_topic_tags": [ "渭河流域", "河岸线", "岸线保护", "河道生态" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "渭河流域甘肃段" ], "ds_time_tags": [ 2008, 2015, 2022 ], "ds_contributors": [ { "true_name": "刘天山", "email": "851297938@qq.com", "work_for": "甘肃省水利信息中心", "country": "中国" }, { "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" }, { "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" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张彩荷", "email": "zhangcaihe@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": "刘天山", "email": "851297938@qq.com", "work_for": "甘肃省水利信息中心", "country": "中国" }, { "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" }, { "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" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张彩荷", "email": "zhangcaihe@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": "刘天山", "email": "851297938@qq.com", "work_for": "甘肃省水利信息中心", "country": "中国" }, { "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" }, { "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" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" }, { "true_name": "康建芳", "email": "kangjf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张彩荷", "email": "zhangcaihe@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": "水文" }