SRTM（Shuttle Radar Topography Mission），由美国太空总署（NASA）和国家测绘局（NIMA）联合测量。2000年2月11日，美国发射的“奋进”号飞机上搭载SRTM系统，共计进行了222小时23分钟的数据采集工作，获取北纬60度至南纬60度之间总面积超过1.19亿平方公里的雷达影像数据，覆盖地球80%以上的陆地表面。 SRTM系统获取的雷达影像的数据量约9.8万亿字节，经过两年多的数据处理，制成了数字地形高程模型（DEM），即现在的SRTM地形产品数据。此数据产品2003年开始公开发布，经历多修订，目前的数据修订版本为V4.1版本。该版本由CIAT（国际热带农业中心）利用新的插值算法得到的SRTM地形数据，此方法更好的填补了SRTM 90的数据空洞。插值算法来自于Reuter et al.（2007）。
\n甘肃省DEM数据90 m以SRTM DEM 90M 分辨率DEM数据为数据源，进行数据拼接、重采样等影像处理，再利用甘肃省范围区域边界裁剪，生成空间分辨率为90m的DEM数据产品。", "ds_source": "
数据来源于地理空间数据云（https://www.gscloud.cn/）", "ds_process_way": "
以SRTM DEM 90M 分辨率DEM数据为数据源，进行数据拼接、重采样等影像处理，再利用甘肃省范围区域边界裁剪，生成空间分辨率为90m的DEM数据产品。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2023-10-09 00:00:00", "ds_acq_end_time": "2023-10-16 00:00:00", "ds_acq_place": "甘肃省", "ds_acq_lon_east": 108.7075, "ds_acq_lat_south": 32.596111111111114, "ds_acq_lon_west": 92.33777777777777, "ds_acq_lat_north": 42.79333333333333, "ds_acq_alt_low": 587.0, "ds_acq_alt_high": 5749.0, "ds_share_type": "login-access", "ds_total_size": 89265920, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "90", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "02696563-69f5-4206-ab42-40536521c547.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "526ff655-4cd4-4650-bb86-6fd3481dfb65", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-10-24 16:05:09", "last_updated": "2025-05-29 16:26:14", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GSEER.DB4046.2023", "i18n": { "en": { "title": "Gansu Province 90m Resolution Digital Elevation Model (DEM) Dataset", "ds_format": "tif", "ds_source": "
Data sourced from geospatial data cloud（ https://www.gscloud.cn/ ）", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
SRTM (Shuttle Radar Topography Mission), jointly measured by NASA and the National Surveying and Mapping Administration (NIMA). On February 11, 2000, the USS Endeavour, launched by the United States, was equipped with an SRTM system and conducted a total of 222 hours and 23 minutes of data collection work to obtain radar image data covering a total area of over 119 million square kilometers between 60 degrees north and 60 degrees south latitude, covering over 80% of the Earth's land surface. The data volume of radar images obtained by the SRTM system is approximately 9.8 trillion bytes. After more than two years of data processing, a digital terrain elevation model (DEM), now known as the SRTM terrain product data, has been developed. This data product has been publicly released since 2003 and has undergone multiple revisions. The current revised version of the data is V4.1. This version of SRTM terrain data was obtained by CIAT (International Tropical Agriculture Center) using a new interpolation algorithm, which better fills the data gap of SRTM 90. The interpolation algorithm comes from Reuters et al. (2007)
\nGansu Province DEM data 90 meters uses SRTMDEM 90M resolution DEM data as the data source for image processing such as data stitching and resampling, and then uses Gansu Province's regional boundary clipping to generate DEM data products with a spatial resolution of 90 meters.
", "ds_time_res": "", "ds_acq_place": "Gansu Province", "ds_space_res": "90", "ds_projection": "UTM", "ds_process_way": "Using SRTM DEM 90M resolution DEM data as the data source, perform image processing such as data stitching and resampling, and then use regional boundary cropping within Gansu Province to generate DEM data products with a spatial resolution of 90m.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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": [ "90m", "DEM", "甘肃省" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省" ], "ds_time_tags": [ 2023 ], "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": "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" } ], "ds_managers": [ { "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" } ], "category": "遥感及产品" }