本数据集针对昆仑山东段阿尼玛卿山地区，数据内容为阿尼玛卿山地区1985-2000年、2000-2008及2008-2013年间的冰川表面高程变化，包含三个数据文件，数据格式为GeoTIFF格式。数据集包含1985-2000年冰川表面高程变化,2000-2008年冰川表面高程变化，和2008-2013年冰川表面高程变化三个GeoTIFF文件，每个GeoTIFF文件均为单波段文件，包含的内容为相应时期内阿尼玛卿山地区冰川表面高程的变化。三个数据文件空间参考均为UTM-47/WGS-84坐标系统，空间分辨率分别为：ElevationChange1985-2000.tif，空间分辨率：25米；ElevationChange2000-2008.tif,空间分辨率：5米;ElevationChange2008-2013.tif,空间分辨率：10米。
", "ds_source": "1985-2000年数据来源：1985年阿尼玛卿山地区1:50000航摄地形图数字化成果（分辨率25米），以及2000年SRTM数据（分辨率30米）。2000-2008年数据来源： 2000年SRTM数据（分辨率30米），以及2008年IRS/P5立体像对提取DEM（分辨率5米）。2008-2013年数据来源： 2008年IRS/P5立体像对提取DEM（分辨率5米），以及2012年TanDEM-X/TerraSAR-X雷达干涉测量生成DEM（分辨率10米）。
", "ds_process_way": "进行冰川表面高程变化计算前，先采用《多功能DEM校正器》对参与计算的两个时期DEM进行反复配准和校正，确保两者具有统一的高程基准和最低的坐标偏差，进而获取最优的冰川表面高程变化结果。数据集分辨率的选择以参与差值的两个时期DEM中最高的分辨率为准，将较低分辨率的DEM以双线性插值方法差值为较高分辨率DEM，然后进行插值计算，确保差值结果能够更精细、准确地反应两个时期冰川表面高程的变化。
", "ds_quality": "对不同时期的DEM进行精度检验后，利用坡度坡向与高程差的余弦关系，进行平面与高程校正；然后利用最大曲率与高程差的关系，降低因不同分辨率带来的误差，对两期DEM进行配准和相对精度评价，得到不同时期的冰川高程变化
", "ds_acq_start_time": "1985-01-01 00:00:00", "ds_acq_end_time": "2013-12-31 00:00:00", "ds_acq_place": "阿尼玛卿山", "ds_acq_lon_east": 99.58722222222222, "ds_acq_lat_south": 34.68861111111111, "ds_acq_lon_west": 99.3913888888889, "ds_acq_lat_north": 34.87583333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 24491090, "ds_files_count": 3, "ds_format": "TIFF", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "da5e0047-d651-4281-8e36-fcc168696b40.jpg", "ds_thumb_from": 2, "ds_ref_way": "引用方式：郭万钦, 魏俊锋, 吴坤鹏，刘时银, 等.中国科学院西北生态环境资源研究院. 1985-2013年阿尼玛卿山地区冰川表面高程变化数据集. 2019。 使用申明：1969-2012年阿尼玛卿山地区冰川表面高程变化数据集来源于科技基础性工作专项“中国西部主要冰川作用中心冰量变化调查（2013FY111400）”。郭万钦, 蒋宗立，1985-2013年阿尼玛卿山地区冰川表面高程变化数据集，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/DIMaC.0035.2020.db", "paper_ref_way": "", "ds_ref_instruction": "收集数据产权属于原数据所有单位，调查数据产权属于中国科学院西北生态环境资源研究院。数据为Geotif格式，通常的地理信息系统软件、遥感处理软件、图像处理软件均可使用，如ARCGIS,ERDAS IMAGINE, ENVI。", "ds_from_station": "中国西部主要冰川作用中心冰量变化调查", "organization_id": "75b2f6d5-c7ed-438c-b7be-98672c057ed5", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-12-14 10:20:25", "last_updated": "2023-05-16 17:35:40", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.DIMaC.2020.146", "i18n": { "en": { "title": "A dataset of glacier surface elevation changes in the area of Animaqing Mountain from 1985-2013", "ds_format": "", "ds_source": "Data sources for 1985-2000: 1:50000 aerial topographic map digitization results in 1985 (resolution of 25m) and SRTM data (resolution of 30m) of Animaqing mountain area in 1985. Data sources of 2000-2008: SRTM data of 2000 (resolution of 30m), and DEM extraction of IRS / P5 stereo pair in 2008 (resolution of 5m). 2008-2013 data sources: 2008 IRS / P5 stereo image pair extraction DEM (resolution 5m), and 2012 TanDEM-X / TerraSAR-X radar interferometry generated DEM (resolution 10m).
", "ds_quality": "After checking the accuracy of DEM in different periods, the plane and elevation are corrected by using the cosine relationship between slope aspect and elevation difference. Then, the relationship between the maximum curvature and elevation difference is used to reduce the error caused by different resolutions. The DEM registration and relative accuracy evaluation of the two periods are carried out, and the glacier elevation changes in different periods are obtained
", "ds_ref_way": "\nCitation: Guo wanqin, Wei Junfeng, Wu Kunpeng, Liu Shiyin, et al. Northwest Institute of ecological environment and resources, Chinese Academy of Sciences. Data set of glacier surface elevation change in Animaqing mountain area, 1985-2013. 2019. Application statement: the data set of glacier surface elevation change in Animaqing mountain area from 1969 to 2012 is derived from the special project of basic scientific and technological work \"ice quantity change survey of major glaciation centers in Western China (2013fy111400)\". Guo wanqin, Jiang Zongli, 1985-2013 data set of glacier surface elevation change in Animaqing mountain area, national glacier frozen soil desert scientific data center（ www.ncdc.ac.cn )，2019，doi：10.12072/DIMaC.0035.2020.db", "ds_abstract": "This data set is aimed at the Animaqing mountain area in the eastern part of Kunlun Mountains. The data content covers the glacier surface elevation changes in the area from 1985 to 2000, 2000 to 2008 and 2008-2013, including three data files, and the data format is GeoTIFF format. The data set contains three GeoTIFF files, i.e., 1985-2000 glacier surface elevation change, 2000-2008 glacier surface elevation change, and 2008-2013 glacier surface elevation change. Each GeoTIFF file is a single band file, which contains the change of glacier surface elevation in Animaqing mountain area in corresponding period. The spatial reference of the three data files is utm-47 / WGS-84 coordinate system, and the spatial resolution is: elevationchange1985-2000.tif, spatial resolution: 25m; elevationchange2000-2008.tif, spatial resolution: 5m; elevationchange2008-2013.tif, spatial resolution: 10M.
", "ds_time_res": "", "ds_acq_place": " Animaqing Mountain", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Before the calculation of glacier surface elevation change, the multi-functional DEM corrector is used to repeatedly register and correct the DEM of the two periods involved in the calculation, so as to ensure that the two have the unified elevation datum and the lowest coordinate deviation, and then obtain the optimal glacier surface elevation change results. The resolution of the data set is selected according to the highest resolution of the DEM in the two periods involved in the difference. The difference between the lower resolution DEM and the higher resolution DEM is determined by bilinear interpolation method, and then the interpolation calculation is carried out to ensure that the difference results can reflect the changes of glacier surface elevation in two periods more precisely and accurately.
", "ds_ref_instruction": "\nThe property right of the collected data belongs to the original data owner, and the property right of the survey data belongs to the Northwest Institute of ecological environment and resources, Chinese Academy of Sciences. The data is in geotif format, which can be used by common GIS software, remote sensing processing software and image processing software, such as ArcGIS, ERDAS image, envi." } }, "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, "ds_topic_tags": [ "冰面高程变化", "DEM", "阿尼玛卿山" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "阿尼玛卿山" ], "ds_time_tags": [ 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013 ], "ds_contributors": [ { "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": "蒋宗立", "email": "jiangzongli@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": "吴坤鹏", "email": "wukunpeng2008@lzb.ac.cn", "work_for": "云南大学国际河流与生态安全研究院", "country": "中国" } ], "ds_managers": [ { "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" } ], "category": "冰川" }