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形的特征，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，利用甘肃省的矢量边界对DEM进行裁剪，最终得到甘肃省的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。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": "利用ArcGIS软件，运用表面分析工具和栅格计算器工具，提取并计算甘肃省的11种地形因子。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2009-01-01 00:00:00", "ds_acq_end_time": "2009-12-31 00:00:00", "ds_acq_place": "甘肃省", "ds_acq_lon_east": 108.7075, "ds_acq_lat_south": 32.596111111111114, "ds_acq_lon_west": 92.33777777777777, "ds_acq_lat_north": 42.79333333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 11179021475, "ds_files_count": 12, "ds_format": "tif", "ds_space_res": "30m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "bb2bff61-2339-4a01-8d02-e607be580f8e.png", "ds_thumb_from": 0, "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": "526ff655-4cd4-4650-bb86-6fd3481dfb65", "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": "2023-08-23 17:25:31", "last_updated": "2025-06-30 16:30:17", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.GSEER.DB3977.2023", "i18n": { "en": { "title": "Gansu Province Topographic Factor Dataset (2009)", "ds_format": "tif", "ds_source": "The original DEM data comes from geographic spatial data clouds（ http://www.gscloud.cn/search ）.
", "ds_quality": "The data quality is good.
", "ds_ref_way": "", "ds_abstract": "Terrain factors can represent the basic characteristics of the terrain surface, but it is difficult to accurately and specifically express the features of the terrain using a single terrain factor. Therefore, various terrain factors can be comprehensively considered to describe the undulating changes of the terrain surface to a certain extent, which has a good effect.\n
The data source used is DEM. From Geospatial Data Cloud（ http://www.gscloud.cn/search ）Obtain, concatenate multiple DEMs, crop the DEMs using the vector boundaries of Gansu Province, and finally obtain the DEM data of Gansu Province.\n
This dataset contains two types of terrain factors: micro terrain factors and macro terrain factors. Micro terrain factors include slope, aspect, slope variation rate, aspect variation rate, plane curvature, profile curvature, comprehensive curvature, etc; There are a total of 11 macro terrain factors, including terrain roughness, terrain undulation, elevation variation coefficient, and surface cutting depth. The spatial resolution of the data is 30 meters, the data is in raster format, and the coordinate system is WGS84.
", "ds_time_res": "", "ds_acq_place": "Gansu Province", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "Using ArcGIS software, surface analysis tools and grid calculator tools, extract and calculate 11 terrain factors in Gansu Province.
", "ds_ref_instruction": "\r\nWhen using data, users should clearly declare the source of the data in the main text and cite the citation method provided by this metadata in the reference 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": [ "甘肃省", "地形因子", "微观地形因子", "宏观地形因子" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省" ], "ds_time_tags": [ 2009 ], "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" }