数字高程模型（Digital Elevation Model，DEM）是描述地表高程信息的空间数据集，是开展地形特征提取、流域水文分析、地质构造解译、生态环境评估等地球科学研究的核心基础数据。中亚干旱区（35°N--53°N，50°E-85°E）作为全球最大的干旱区之一，涵盖中亚五国（哈萨克斯坦、吉尔吉斯斯坦、塔吉克斯坦、乌兹别克斯坦、土库曼斯坦）以及中国新疆维吾尔自治区、蒙古国西部等区域，总面积约680万km²。本数据集整合了当前公开的多源全球高程产品，通过坐标系统一、空间拼接、异常值校正、投影转换等处理流程，生成了覆盖整个中亚干旱区、空间分辨率为30米的数字高程数据集。数据集采用GCS_WGS_1984地理坐标系，栅格数据类型为INT16，高程单位为米，总数据量约236GB，包含mosaic拼接数据及原始分幅数据（tif格式）、原始分幅数据（hgt格式）、原始分幅压缩包（zip格式），可以满足大部分应用场景，另附SRTMonly数据（hgts格式）作为备用参考数据源。\n本数据集可免费获取使用，可为中亚干旱区的地形分析、水文模拟、生态遥感、气候变化等研究及工程规划建设提供统一且高精度的基础地形支撑，也可为多源DEM产品精度对比、区域地形变化监测提供基准数据。
", "ds_source": "原始数据来源于NASADEM_HGT数据集（2020年2月13日发布），通过融合多种补充数据源、优化处理算法，解决了原始SRTM数据中存在的水体空洞、高海拔区域高程缺失、地形误差较大等问题，是目前全球应用广泛的公开免费DEM产品之一
", "ds_process_way": "通过格式转换、空间拼接、异常值校正等处理流程，生成了覆盖整个中亚干旱区、空间分辨率为30米的数字高程数据集。数据处理过程中，针对原始产品存在的河谷区域高程异常、冰雪覆盖区高程偏差、沙漠区空洞缺失等问题，采用了面向对象的异常值检测算法结合实地GPS控制点进行校正
", "ds_quality": "高程误差小于5米，满足大部分地球科学研究与工程应用的精度要求
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "中亚干旱区", "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": 254231239538, "ds_files_count": 7208, "ds_format": "栅格数据", "ds_space_res": "30", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "9f1ee76e-6cb4-4e26-a5e4-60e51a426fc9.png", "ds_thumb_from": 0, "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" ], "quality_level": 1, "publish_time": "2026-05-11 13:21:06", "first_publish_time": null, "last_updated": "2026-05-11 13:21:06", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "license": null, "extra": null, "files_shape": [ { "name": "中亚干旱区（35°N--53°N，50°E-85°E）DEM数据集", "size": null, "is_dir": true } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "Central Asia Arid Region (35°N--53 ° N, 50°E-85°E) DEM Data Set", "ds_abstract": "Digital Elevation Model (DEM) is a spatial dataset that describes surface elevation information. It is the core basic data for conducting earth science research such as terrain feature extraction, watershed hydrological analysis, geological structure interpretation, and ecological environment assessment. The Central Asian Arid Zone (35°N--53 ° N, 50°E-85°E) is one of the largest arid areas in the world, covering the five Central Asian countries (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, Turkmenistan), the Xinjiang Uygur Autonomous Region of China, western Mongolia and other regions, with a total area of about 6.8 million km2. This dataset integrates the currently disclosed multi-source global elevation products, and generates a digital elevation data covering the entire Central Asian arid region with a spatial resolution of 30 meters through processing processes such as coordinate system 1, spatial splicing, anomaly correction, and projection conversion. The data set adopts the GCS_WGS_1984 geographical coordinate system, the raster data type is INT16, the elevation unit is meters, and the total data volume is about 236GB. It includes mosaic data and original framing data (tif format), original framing data (hgt format), and original framing compressed package (zip format), which can meet most application scenarios. SRTMonly data (hgts format) is also attached as a backup reference data source.\nThis dataset can be obtained and used free of charge. It can provide unified and high-precision basic terrain support for terrain analysis, hydrological simulation, ecological remote sensing, climate change and other research and engineering planning and construction in arid areas of Central Asia. It can also provide benchmark data for accuracy comparison and regional terrain change monitoring.
", "ds_source": "The original data comes from the NASADEM_HGT dataset (released on February 13, 2020). By integrating multiple supplementary data sources and optimizing processing algorithms, it solves the problems of water voids, missing elevations in high-altitude areas, and large terrain errors in the original SRTM data. It is currently one of the widely used public and free DEM products around the world.
", "ds_process_way": "Through processing processes such as format conversion, spatial splicing, and outlier correction, a digital elevation dataset covering the entire Central Asian arid region with a spatial resolution of 30 meters was generated. During the data processing process, an object-oriented outlier detection algorithm was used to correct the problems existing in the original product, such as altitude anomalies in river valley areas, altitude deviations in ice and snow covered areas, and missing voids in desert areas.
", "ds_quality": "The altitude error is less than 5 meters, meeting the accuracy requirements of most earth science research and engineering applications.
", "ds_acq_place": "Arid region of Central Asia", "ds_format": "raster data", "ds_space_res": "30" } }, "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": [ "中亚干旱区", "dem" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [], "ds_time_tags": [], "ds_contributors": [ "方晖" ], "ds_meta_authors": [ "方晖" ], "ds_managers": [ "方晖", "余瑶" ], "category": "基础地理" }