地形因子能表示地形表面的基本特征，但很难用一种地形因子也很难准确具体地表达地表起伏度的特征，为此，可将各种地形因子综合考虑，在一定程度上刻画地形表面的起伏变化，具有很好的效果。\n数据所采用的数据源为DEM。从地理空间数据云（http://www.gscloud.cn/search）获得，对多幅DEM进行拼接，利用泾河流域的矢量边界对DEM进行裁剪，最终得到泾河流域的DEM数据。\n
本数据集包含的地形因子有微观地形因子与宏观地形因子两种，微观地形因子有坡度、坡向、坡度变率、坡向变率、平面曲率、剖面曲率、综合曲率等；宏观地形因子有地形粗糙度、地形起伏度、高程变异系数、地表切割深度，共计11种。\n数据的空间分辨率30米，数据为栅格格式，坐标系为WGS84。", "ds_source": "
原始DEM数据来源于地理空间数据云（http://www.gscloud.cn/search）。", "ds_process_way": "
（1）利用Python程序进行影像拼接、重采样；按照泾河流域边界为研究区域进行裁剪，生成泾河流域30米DEM数据产品。\n
\n（2）利用ArcGIS软件，运用表面分析工具和栅格计算器工具，提取并计算泾河流域的11种地形因子。", "ds_quality": "
对源数据进行重采样，数据质量良好。SRTM DEM数据的垂直误差小于16 m。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2000-12-31 00:00:00", "ds_acq_place": "泾河流域", "ds_acq_lon_east": 108.86583333333333, "ds_acq_lat_south": 34.65, "ds_acq_lon_west": 106.19166666666668, "ds_acq_lat_north": 37.39888888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1363319184, "ds_files_count": 12, "ds_format": "栅格", "ds_space_res": "30米", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "73f2dbc3-6bd1-4911-96d8-1ae44f212f0c.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "bf1ae243-c102-4b2d-a2f6-b698468f4401", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.JRiver.db1978.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-08 09:58:47", "last_updated": "2025-06-30 15:52:27", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.JRiver.db1978.2022", "i18n": { "en": { "title": "Jinghe River Basin Topographic Factor Dataset (2000)", "ds_format": "Raster", "ds_source": "
The original DEM data comes from geographic spatial data clouds（ http://www.gscloud.cn/search ）.", "ds_quality": "
Resample the source data, and the data quality is good. The vertical error of SRTM DEM data is less than 16 M.", "ds_ref_way": "", "ds_abstract": "
Terrain factors can represent the basic characteristics of the terrain surface, but it is difficult to use a terrain factor, and it is also difficult to accurately and specifically express the characteristics of the surface relief. Therefore, various terrain factors can be considered comprehensively to describe the relief changes of the terrain surface to a certain extent, which has a good effect.\n
The data source used for the data is DEM. From geospatial data cloud（ http://www.gscloud.cn/search ）Finally, the DEM data of Jinghe River Basin is obtained by splicing multiple Dems and cutting the DEM using the vector boundary of Jinghe River Basin.\n
The terrain factors included in this data set include micro terrain factors and macro terrain factors. The micro terrain factors include slope, aspect, slope variability, aspect variability, plane curvature, section curvature, comprehensive curvature, etc; There are 11 macro topographic factors, including topographic roughness, topographic relief, elevation variation coefficient and surface cutting depth.\n
The spatial resolution of the data is 30m, the data is in grid format and the coordinate system is WGS84.
", "ds_time_res": "年", "ds_acq_place": "Jinghe River Basin", "ds_space_res": "30米", "ds_projection": "", "ds_process_way": "(1) Use Python program for image mosaic and resampling; The study area is cut according to the boundary of Jinghe River Basin, and the 30m DEM data product of Jinghe River Basin is generated.\n
\n(2) Using ArcGIS software, surface analysis tools and grid calculator tools, 11 topographic factors of Jinghe River Basin are extracted and calculated.", "ds_ref_instruction": "When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the References section." } }, "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": [ "坡度", "坡向", "坡度变率", "综合曲率", "高程变异系数", "平面曲率", "地表粗糙度", "剖面曲率", "地形起伏度", "地表切割深度", "坡向变率" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "泾河流域" ], "ds_time_tags": [ 2000 ], "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": "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" } ], "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": "基础地理" }