{
    "created": "2024-09-25 13:06:40",
    "updated": "2026-08-08 04:52:32",
    "id": "6dad8e57-75ba-4926-872b-11f63e3f4f57",
    "version": 6,
    "ds_topic": null,
    "title_cn": "2008年中亚和新疆范围90米DEM数据集",
    "title_en": "",
    "ds_abstract": "<p>本数据集为中国新疆和中亚五国范围内90m高程裁切数据，是基于CGIAR-CSI 90m SRTM数据（第4版），经过中亚五国和新疆范围界线裁切处理得到的，空间分辨率90米，投影坐标为GCS-WGS84，数据以ENVI标准格式栅格数据格式存储。。</p>",
    "ds_source": "<p>数据来自国际农业研究咨询组织空间咨询团体(CGIAR-CSI)(http://srtm.csi.cgiar.org/)的SRTM 90m Digital Elevation Data。SRTM 90m Digital Elevation Data数据集（第4版）是基于美国宇航局发布并由美国地质调查局通过ftp访问分发的3级弧秒SRTM数据制作的（ftp//edcsgs9.cr.usgs.gov/pub/data/srtm/version1/）。CGIAR-CSI SRTM数据集对NASA数据进行了后处理，以通过插值技术“填补”无数据空白。其结果是无缝、完整地覆盖全球的海拔。\nSRTM 90m Digital Elevation Data数据集引用方式：Jarvis A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled seamless SRTM data V4, International Centre for Tropical Agriculture (CIAT), available from https://srtm.csi.cgiar.org. 参考文献引用：Reuter H.I, A. Nelson, A. Jarvis, 2007, An evaluation of void filling interpolation methods for SRTM data, International Journal of Geographic Information Science, 21:9, 983-1008.。</p>",
    "ds_process_way": "<p>以5°×5°图块大小，Geo TIFF文件格式下载中亚和新疆范围的DEM数据，数据投影坐标GCS-WGS84；数据在ENVI5.0中进行镶嵌mosaic和裁剪subset by roi处理,背景值设定为0，经过格式转换生成ENVI格式数据。</p>",
    "ds_quality": "<p>数据精度保持不变。</p>",
    "ds_acq_start_time": "2008-01-01 00:00:00",
    "ds_acq_end_time": "2008-12-31 00:00:00",
    "ds_acq_place": "哈萨克斯坦；吉尔吉斯坦；塔吉克斯坦；乌兹别克斯坦；土库曼斯坦；中国新疆",
    "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": "login-access",
    "ds_total_size": 477991115,
    "ds_files_count": 1,
    "ds_format": "ENVI",
    "ds_space_res": "90",
    "ds_time_res": "无",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84",
    "ds_thumbnail": "6dad8e57-75ba-4926-872b-11f63e3f4f57.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6",
    "doi_value": "",
    "subject_codes": [
        "170.40"
    ],
    "quality_level": 1,
    "publish_time": "2024-09-30 16:43:12",
    "first_publish_time": "2024-09-30 16:43:12",
    "last_updated": "2025-03-28 16:04:10",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "33110.11.ariddc.00134",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "2008年中亚和新疆范围90米DEM数据集.rar",
            "size": 477991115,
            "is_dir": false
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "2008 90-meter DEM dataset across Central Asia and Xinjiang",
            "ds_abstract": "<p>This dataset is 90m elevation clipping data within the five Central Asian countries of China and five Central Asian countries. It is based on the CGIAR-CSI90m SRTM data (version 4) and obtained through clipping processing on the boundaries of the five Central Asian countries and Xinjiang. The spatial resolution is 90m, and the projection coordinates are GCS-WGS84. The data is stored in the ENVI standard format raster data format. </p>",
            "ds_source": "<p>Data comes from SRTM 90m Digital Elevation Data from the Space Advisory Group of the International Agricultural Research Advisory Group (CGIAR-CSI)(http://srtm.csi.cgiar.org/). The SRTM 90m Digital Elevation Data dataset (version 4) is based on level 3 arc-second SRTM data released by NASA and distributed via ftp access by the U.S. Geological Survey (ftp//edcsgs9.cr.usgs.gov/pub/data/srtm/version1/). The CGIAR-CSI SRTM dataset post-processes NASA data to \"fill\" no data gaps through interpolation techniques. The result is seamless and complete coverage of global elevations.\nSRTM 90m Digital Elevation Data dataset referenced by Jarvis A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled seamless SRTM data V4, International Centre for Tropical Agriculture (CIAT), available from https://srtm.csi.cgiar.org References cited: Reuter H.I, A. Nelson, A. Jarvis, 2007, An evaluation of void filling interpolation methods for SRTM data, International Journal of Geographic Information Science, 21:9, 983-1008.。</p>",
            "ds_process_way": "<p>DEM data from Central Asia and Xinjiang are downloaded in Geo TIFF file format with a block size of 5°×5°, and the data projection coordinates are GCS-WGS84; the data is mosaic and clipped subset by roi processing in ENVI5.0, the background value is set to 0, and ENVI format data is generated through format conversion. </p>",
            "ds_quality": "<p>The accuracy of the data remains unchanged. </p>",
            "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan; China Xinjiang",
            "ds_format": "ENVI",
            "ds_projection": "WGS84",
            "ds_space_res": "90",
            "ds_time_res": "no"
        }
    },
    "license_type": null,
    "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": [
        "DEM",
        "数字高程模型"
    ],
    "ds_subject_tags": [
        "地图学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国新疆",
        "塔吉克斯坦",
        "哈萨克斯坦",
        "土库曼斯坦",
        "乌兹别克斯坦",
        "吉尔吉斯斯坦"
    ],
    "ds_time_tags": [
        2008
    ],
    "ds_contributors": [
        "陈曦",
        "李宏"
    ],
    "ds_meta_authors": [
        "李宏"
    ],
    "ds_managers": [
        "李锦"
    ],
    "category": "DEM数字高程"
}