{
    "created": "2026-05-19 16:20:06",
    "updated": "2026-05-20 04:32:22",
    "id": "be1ee689-e49e-406f-81ac-b82ba2288782",
    "version": 3,
    "ds_topic": null,
    "title_cn": "中国SRTMDEM 90M数据集",
    "title_en": "The Chinese SRTDMEM 90M dataset",
    "ds_abstract": "<p>&emsp;&emsp;本数据为中国全境SRTMDEM 90M数字高程模型，基于地理空间数据云获取，经ArcGIS镶嵌、裁剪加工而成，适用于地理空间分析、区域规划等领域，提供精准高程支撑。",
    "ds_source": "<p>&emsp;&emsp;数据源为SRTMDEM 90M产品，由美国太空总署（NASA）和国家测绘局（NIMA）联合测量，覆盖地球80%以上陆地），现采用CIAT基于Reuter et al.（2007）插值算法优化的V4.1版本，填补数据空洞。数据来源于中国科学院计算机网络信息中心地理空间数据云平台(http://www.gscloud.cn)",
    "ds_process_way": "<p>&emsp;&emsp;基于ArcGIS完成加工：下载瓦片并解压，预处理确认WGS84坐标系、统一格式及像素类型；通过“镶嵌”拼接瓦片，消除缝隙；导入中国国界矢量数据，确保数据完整性。",
    "ds_quality": "<p>&emsp;&emsp;符合SRTMDEM 90M V4.1官方标准，质量优良：无数据缺失，瓦片完整覆盖。",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "中国",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "open-access",
    "ds_total_size": 2810677863,
    "ds_files_count": 0,
    "ds_format": "*.tif",
    "ds_space_res": "90m",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "be1ee689-e49e-406f-81ac-b82ba2288782.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 0,
    "publish_time": "2026-05-19 16:50:42",
    "last_updated": "2026-05-20 08:58:11",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": null,
    "i18n": {
        "en": {
            "title": "The Chinese SRTDMEM 90M dataset",
            "ds_format": "*.tif",
            "ds_source": "<p>&emsp;The data source is SRTMDEM 90M product, jointly measured by NASA and NIMA, covering more than 80% of the Earth's land. The V4.1 version optimized by CIAT based on Reuter et al. (2007) interpolation algorithm is now used to fill the data gap. The data comes from the geospatial data cloud platform of the Computer Network Information Center of the Chinese Academy of Sciences（ http://www.gscloud.cn )",
            "ds_quality": "<p>&emsp;Meets the official standard of SRTDMEM 90M V4.1, with excellent quality: no missing data, and complete tile coverage.",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;This data is the SRTDMEM 90M digital elevation model for the entire territory of China, obtained based on geographic spatial data cloud and processed through ArcGIS embedding and cropping. It is suitable for geographic spatial analysis, regional planning and other fields, providing accurate elevation support.",
            "ds_time_res": "",
            "ds_acq_place": "China",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Processing based on ArcGIS: Download tiles and extract them, preprocess to confirm WGS84 coordinate system, unified format, and pixel type; By \"inlaying\" tiles, eliminate gaps; Import Chinese border vector data to ensure data integrity.",
            "ds_ref_instruction": ""
        }
    },
    "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": [
        "SRTMDEM 90M",
        "中国",
        "基础地理"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [],
    "ds_contributors": [
        {
            "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"
        },
        {
            "true_name": "王亚丽",
            "email": "wangyali@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": "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"
        },
        {
            "true_name": "王亚丽",
            "email": "wangyali@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": "基础地理"
}