在2006年启动的科技部科技基础性工作专项“中国西部冰川资源及其变化调查”项目的支持下，中国科学院寒区旱区环境与工程研究所冰冻圈科学国家重点实验室的研究人员开始利用最新的遥感数据进行第二次冰川编目的编制。第二次中国冰川编目采用当前国际通用的遥感和GIS方法，以美国Landsat TM/ETM+遥感卫星数据为冰川边界描绘主要数据源，并以SRTM V4数据为冰川高程属性提取数据源。裸冰区冰川边界的提取方法采用国际认可的高效波段比值阈值分割方法来进行，并以自主研发的冰川区山脊线提取方法来提取冰川区分冰岭，结合结果的人工修订，进而形成最终的冰川边界数据。同时，基于通用的GIS算法，来计算冰川的面积、周长等几何属性及最大、最小及平均等高程属性。野外GPS测量和高分辨率遥感影像的验证结果显示，基于第二次中国编目中所用方法获取的冰川边界具有较高的定位精度和冰川面积精度，能够满足各行各业对冰川编目数据的精度要求。\n截止2013年底，基于Landsat影像的中国第二次冰川编目完成了西部地区86%地区的冰川编目，共解译出冰川42370条，总面积43102.58km2。未完成部分主要位于青藏高原东南部横断山地区和念青唐古拉山中东段等地区。这些地区由于受印度季风影响，具有很高降水量并且常年被积雪和云覆盖，无云无雪的优质遥感影像很难获取。可获取的优质遥感影像大多是在2000-2005年间拍摄。为保证成果数据时间上的统一性，这些地区的冰川编目未依据这些影像进行编制。目前这些地区的冰川编目还在基于最新的Landsat-8/OLI传感器的数据处于编制过程中，并将于编制完成后向社会发布。在目前发布的第二次冰川编目数据集中，青藏高原东南部等二次编目未完成区域的数据用最新数字化和更新的第一次冰川编目数据集(许君利 et al. in Review)代替，总计使用第一次编目数据集中的冰川6201条，面积8753.5km2。
", "ds_source": "第二次中国冰川编目采用当前国际通用的遥感和GIS方法，以美国Landsat TM/ETM+遥感卫星数据为冰川边界描绘主要数据源，并以SRTM V4数据为冰川高程属性提取数据源.
", "ds_process_way": "仪器自动观测 人工统计数据
", "ds_quality": "野外GPS测量和高分辨率遥感影像的验证结果显示，基于第二次中国编目中所用方法获取的冰川边界具有较高的定位精度和冰川面积精度，能够满足各行各业对冰川编目数据的精度要求。
", "ds_acq_start_time": "2006-01-01 00:00:00", "ds_acq_end_time": "2013-12-31 00:00:00", "ds_acq_place": "中国西部地区", "ds_acq_lon_east": 73.01666666666667, "ds_acq_lat_south": null, "ds_acq_lon_west": 105.51666666666667, "ds_acq_lat_north": 49.099722222222226, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 28799125, "ds_files_count": 7, "ds_format": "shp", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "6d44fd19-64d7-4af1-8e81-5fa717585b5b.jpg", "ds_thumb_from": 2, "ds_ref_way": "刘时银, 郭万钦, 许君利等. 中国第二次冰川编目数据集（V1.0）（2006-2011）. 国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn), 2019, doi：10.12072/ncdc.Westdc.db0006.2020. LIU Shiyin, GUO Wanqin, XU Junli and others. The second glacier inventory dataset of China (version 1.0) (2006-2011). National Cryosphere Desert Data Center(www.ncdc.ac.cn), 2019，doi：10.12072/ncdc.Westdc.db0006.2020.", "paper_ref_way": "", "ds_ref_instruction": " 为保障平台科技资源的权益、扩展平台中心的服务、提升科技资源的应用潜力，请资源使用者在使用资源所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明资源来源和资源作者。", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-01-07 15:15:38", "last_updated": "2021-01-07 15:15:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.656", "i18n": { "en": { "title": "The second glacial catalogue data set of China (v1.0)", "ds_format": "", "ds_source": "The second China glacier catalogue adopts the current international common remote sensing and GIS methods, and uses the Landsat TM / ETM + remote sensing satellite data of the United States as the main data source for glacier boundary description, and SRTM V4 data as the data source for glacier elevation attribute extraction
", "ds_quality": "The validation results of field GPS Survey and high-resolution remote sensing images show that the glacier boundary obtained by the method which used in the second China catalogue has high positioning accuracy and glacier area accuracy, which can meet the accuracy requirements of all walks of life for glacier cataloging data.
", "ds_ref_way": "Liu Shiyin, Guo Wanqin, Xu Junli, et al. The second glacial inventory data set of China (v1.0) (2006-2011). National glacier frozen soil desert scientific data center（ www.ncdc.ac.cn ), 2019, doi：10.12072/ ncdc.Westdc.db0006 .2020. LIU Shiyin, GUO Wanqin, XU Junli and others. The second glacier inventory dataset of China (version 1.0) (2006-2011). National Cryosphere Desert Data Center( www.ncdc.ac.cn ), 2019，doi：10.12072/ ncdc.Westdc.db0006 .2020.", "ds_abstract": "With the support of the project \"investigation of glacier resources and their changes in Western China\" launched by the Ministry of science and technology in 2006, researchers from the State Key Laboratory of Cryosphere science, Institute of cold and arid region environment and engineering, Chinese Academy of Sciences, began to compile the second glacier catalogue using the latest remote sensing data. The second China glacier catalogue adopts the current international common remote sensing and GIS methods, using the Landsat TM / ETM + remote sensing satellite data of the United States as the main data source for glacier boundary description, and SRTM V4 data as the data source for glacier elevation attribute extraction. The method of glacier boundary extraction in bare ice area adopts the internationally recognized high-efficiency band ratio threshold segmentation method, and uses the self-developed glacier ridge line extraction method to extract glacier and distinguish ice ridge. Combined with the manual revision of the results, the final glacier boundary data is formed. At the same time, based on the general GIS algorithm, the geometric attributes such as the area and perimeter of the glacier and the maximum, minimum and average elevation attributes are calculated. The validation results of field GPS Survey and high-resolution remote sensing images show that the glacier boundary obtained by the method used in the second China catalogue has high positioning accuracy and glacier area accuracy, which can meet the accuracy requirements of all walks of life for glacier cataloging data.\nBy the end of 2013, China's second glacial catalogue based on Landsat images had completed the glacier cataloguing in 86% of the western region, with 42370 glaciers interpreted, covering a total area of 43102.58km2. The unfinished part is mainly located in the Hengduan Mountain Area in the southeast of Qinghai Tibet Plateau and the Middle East section of Nianqing Tanggula Mountain. Due to the influence of Indian monsoon, these areas have very high precipitation and are covered by snow and clouds all the year round. Most of the available high-quality remote sensing images were taken between 2000 and 2005. In order to ensure the time consistency of the results, the glacier cataloguing in these areas is not based on these images. At present, the glacier catalogue in these areas is still in the process of compilation based on the latest landsat-8 / oli sensor data, and will be released to the public after the compilation. In the current data set of the second glacier catalogue, the data of the southeast of the Qinghai Tibet Plateau and other unfinished areas are replaced by the latest digitized and updated first glacier catalogue data set (Xu Junli et al. In review), 6201 glaciers with an area of 8753.5km2 in the first catalogue data set are used.
", "ds_time_res": "", "ds_acq_place": "Western China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Automatic observation of manual statistical data by instruments
", "ds_ref_instruction": " \nIn order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, monographs, data products and unpublished research reports and data products) generated by the use of resources." } }, "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": [ "冰川编目", "Landsat影像", "GIS方法" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "冰川区" ], "ds_time_tags": [ 2006, 2013 ], "ds_contributors": [ { "true_name": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" }, { "true_name": "郭万钦", "email": "guowq@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": "许君利", "email": "xujunli05@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": "郭万钦", "email": "guowq@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": "刘时银", "email": "liusy@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" } ], "category": "冰川" }