本数据集针对昆仑山阿尼玛卿山地区，数据内容为2008年和2013年阿尼玛卿山地区数字高程模型，数据格式为GeoTIFF格式。数据集包含2008年和2013年阿尼玛卿山地区数字高程模型两个GeoTIFF文件，文件为单波段文件，包含的内容为2008年和2013年阿尼玛卿山地区数字高程模型。数据集空间参考UTM-47/WGS-84坐标系统，2008年DEM空间分辨率分别为5米，2013年DEM空间分辨率分别为10米。
", "ds_source": "分别为2008年印度IRS/P5卫星光学立体像对数据和2013年欧空局TanDEM-X和TerraSAR-X姊妹雷达卫星像对数据。
", "ds_process_way": "2008年DEM的生成采用ERDAS软件进行数据预处理，并结合野外GPS地面控制点测量成果进行DEM提取，2013年DEM的生成采用GAMMA软件进行预处理和干涉测量。提取完成后利用《多功能DEM校正器》软件，参考2000年30米分辨率SRTM数据，对其进行反复配准和校正，确保其与该地区其它DEM数据具有统一的高程基准和最小的坐标偏差，最后使用ICESat卫星激光测高数据和野外GPS测量成果对提取成果进行精度验证和评估。
", "ds_quality": "通过使用搭载TerraSAR-X和TanDEM-X传感器的平台，同时观测，获取地面同一地物目标的复数数据（包括振幅和相位信息），组成干涉对。经过精确配准后对复数图像进行共轭相乘可得到复干涉纹图。利用飞行平台、波束视及基线之间的几何关系，对复干涉纹图中的相位信息进行解缠，从而得到地面高程信息。其垂直方向的绝对精度优于10 m，相对精度在局部坡度角>20%时达到4 m，<20%时精度达到2 m。
", "ds_acq_start_time": "2008-01-01 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": 99.73027777777779, "ds_acq_lat_south": 34.46527777777778, "ds_acq_lon_west": 99.32333333333332, "ds_acq_lat_north": 34.975833333333334, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 308714696, "ds_files_count": 3, "ds_format": "TIFF", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "46640707-89c6-4ab5-8273-244736c3d21a.jpg", "ds_thumb_from": 2, "ds_ref_way": "引用方式如下：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. 2008和2013年阿尼玛卿山地区数字高程模型数据集. 2019。 使用申明建议采用如下方式： 2008和2013年阿尼玛卿山地区数字高程模型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）”。", "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": "2020-12-18 11:32:51", "last_updated": "2023-05-16 17:34:57", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.DIMaC.2020.122", "license": null, "i18n": { "en": { "title": "2008 and 2013 digital elevation model data set of Animaqing mountain area", "ds_format": "", "ds_source": "The data are India IRS / P5 satellite optical stereo image pair data in 2008 and ESA TanDEM-X and TerraSAR-X sister radar satellite image pair data in 2013, respectively.
", "ds_quality": "By using the platform equipped with TerraSAR-X and TanDEM-X sensors, the complex data (including amplitude and phase information) of the same ground object are obtained at the same time to form an interference pair. After accurate registration, complex interferograms can be obtained by conjugate multiplication of complex images. Based on the geometric relationship among flight platform, beam view and baseline, the phase information in complex interferogram is unwrapped to obtain the ground elevation information. The absolute accuracy in the vertical direction is better than 10 m, and the relative accuracy is 4 m at & gt; 20% and 2 m at & lt; 20%.
", "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. 2008 and 2013 Animaqing Mountain Digital Elevation Model dataset. 2019. It is suggested that the following methods should be adopted: the 2008 and 2013 digital elevation model data sets of Animaqing mountain area are derived from the special project of basic scientific and technological work \"survey of ice change in major glaciation centers in Western China (2013fy111400)\".", "ds_abstract": "This data set focus on the Animaqing mountain area of Kunlun mountain. The data contents the digital elevation model of Animaqing mountain area in 2008 and 2013, and the data format is GeoTIFF format. The data set contains two GeoTIFF files of 2008 and 2013 Animaqing mountain digital elevation model. The files are single band files and contain the contents of 2008 and 2013 Animaqing mountain digital elevation models. According to the utm-47 / WGS-84 coordinate system, the spatial resolutions of DEM in 2008 and 2013 were 5 m and 10 m respectively.
", "ds_time_res": "", "ds_acq_place": "Mount Animaqing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "ERDAS software was used to preprocess the data, and combined with the field GPS ground control point survey results to extract DEM if image 2008. \nGamma software was used for preprocessing and interferometry in image 2003. After the extraction, the software \"multi-functional DEM corrector\" is used to repeatedly register and correct it with reference to the 30 meter resolution SRTM data in 2000, so as to ensure that it has the unified elevation datum and the minimum coordinate deviation with other DEM data in this area. Finally, the accuracy of the extracted results is verified and evaluated by ICESat satellite laser altimetry data and field GPS survey results.
", "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, "license_type": "CC BY 4.0", "ds_topic_tags": [ "雷达干涉", "阿尼玛卿山", "DEM" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "阿尼玛卿山" ], "ds_time_tags": [ 2008, 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" }