SRTM的传感器有两个波段，分别是C波段和X波段，我们现在使用的SRTM都自于C波段。公开发布的SRTM数字高程产品包括三种不同分辨率的DEM 数据：SRTM1 覆盖范围仅仅包括美国大陆,其空间分辨率为1s，SRTM3 数据覆盖全球，空间分辨率为3s，这是目前使用最为广泛的数据集,SRTM3的高程基准是EGM96的大地水准面，平面基准是WGS84；标称绝对高程精度是±16m，绝对平面精度是±20m。SRTM30 数据同样覆盖全球，分辨率是30s。", "ds_source": "
SRTM数据存在多个版本，SRTM数据存在多个版本，早期的SRTM数据由NASA“喷气推进实验室”(JPL ,Jet Propulsion Laboratory)地面数据处理系统( GDPS)来完成的，数据被称为SRTM3-1。美国国家地理空间情报局对数据做了更进一步的处理，缺少情况得到明显改进，数据称为SRTM3-2。
", "ds_process_way": "该数据集主要是第四版本由 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） SRTM的数据组织方式为：每5度经纬度方格划分一个文件，共分为24行（-60至60度）和72列（-180至180度）。文件命名规则为srtm_XX_YY.zip，XX表示列数（01-72），YY表示行数（01-24）。
", "ds_quality": "数据分辨率90米数据使用:SRTM的数据是用16位的数值表示高程数值的（-/+/32767米），最大的正高程9000米，负高程（海平面以下12000米）。Nodata值使用-32767标准。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2000-12-01 00:00:00", "ds_acq_place": "中国地区", "ds_acq_lon_east": 135.8, "ds_acq_lat_south": 17.116666666666667, "ds_acq_lon_west": 73.3, "ds_acq_lat_north": 53.81666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 63765926742, "ds_files_count": 191, "ds_format": "", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "2e621a03-0d20-4ad3-863d-bd780d7d1d84.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-09-24 15:22:55", "last_updated": "2025-04-23 09:47:27", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.2021.1689", "i18n": { "en": { "title": "SRTM DEM Dataset for China Region", "ds_format": "", "ds_source": "There are several versions of the SRTM data. Early versions of the SRTM data were processed by NASA's Jet Propulsion Laboratory (JPL) Ground Data Processing System (GDPS), and the data are referred to as SRTM3-1. The National Geospatial-Intelligence Agency (NGA) has further processed the data and the lack of data has been significantly improved and the data is called SRTM3-2.
", "ds_quality": "Data resolution 90 metersData use:SRTM data are expressed as 16-bit values for elevation values (-/+/32767 meters), with a maximum positive elevation of 9,000 meters and a negative elevation (12,000 meters below sea level).Nodata values use the -32767 standard.
", "ds_ref_way": "", "ds_abstract": "SRTM sensors have two bands, C-band and X-band, and the SRTMs we are using now are from the C-band. The publicly released SRTM digital elevation products include three different resolutions of DEM data: SRTM1 covers only the continental United States with a spatial resolution of 1s, SRTM3 covers the whole world with a spatial resolution of 3s, which is the most widely used dataset at present, and the elevation datum of SRTM3 is the geoid of EGM96, and the plane datum is WGS84; The nominal absolute elevation accuracy is ±16m and the absolute planimetric accuracy is ±20m. SRTM30 data also cover the whole world with a resolution of 30s.
", "ds_time_res": "日", "ds_acq_place": "China region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This dataset focuses on the fourth version of the SRTM topographic data obtained by CIAT (International Center for Tropical Agriculture) using a new interpolation algorithm, which better fills the data gaps of SRTM 90. The interpolation algorithm is from Reuter et al. (2007) The SRTM data are organized in a file divided into 24 rows (-60 to 60 degrees) and 72 columns (-180 to 180 degrees) per 5 degree latitude/longitude square. The file naming rule is srtm_XX_YY.zip, with XX indicating the number of columns (01-72) and YY indicating the number of rows (01-24).
", "ds_ref_instruction": "None" } }, "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": [ "SRTM", "SRTM30", "DEM", "SRTM3", "SRTM1" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国地区" ], "ds_time_tags": [ 2000 ], "ds_contributors": [ { "true_name": "吴立宗", "email": "wulizong@pric.org.cn", "work_for": "国家极地科学数据中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "CGIAR-CSI", "email": "", "work_for": "CGIAR-CSI", "country": "中国" } ], "ds_managers": [ { "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" } ], "category": "遥感及产品" }