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12种。
\n数据的空间分辨率30米，数据为栅格格式。", "ds_source": "
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。", "ds_process_way": "
对多幅DEM进行拼接，利用地震震中扩展200km范围矢量边界对DEM进行裁剪，最终得到震区地形因子数据产品。", "ds_quality": "
数据质量较好。", "ds_acq_start_time": "2022-09-05 00:00:00", "ds_acq_end_time": "2022-09-05 00:00:00", "ds_acq_place": "阿坝州,成都市,甘孜州,泸定县,乐山市,凉山州,眉山市,雅安市,宜宾市,昭通市", "ds_acq_lon_east": 104.14416666666668, "ds_acq_lat_south": 27.75, "ds_acq_lon_west": 100.01583333333333, "ds_acq_lat_north": 31.39388888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 8523344254, "ds_files_count": 51, "ds_format": "tiff", "ds_space_res": "30m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "355c028c-1845-485d-a0ee-8cb706d0a7ad.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "2e613a39-e838-4157-bc8b-1fb06ce35c61", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2022-10-30 16:34:48", "last_updated": "2025-06-30 12:11:30", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NCDC.db2461.2022", "i18n": { "en": { "title": "Topographic factor data set of 200 km epicenter extension of the m s6.8 earthquake in Luding County, Ganzi Prefecture, Sichuan", "ds_format": "tiff", "ds_source": "
The data source used for the data is DEM. From geospatial data cloud（ http://www.gscloud.cn/search ）Get.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
Terrain factors can represent the basic features of the terrain surface, but it is difficult to express the features of the terrain accurately and concretely with one terrain factor. Therefore, various terrain factors can be considered comprehensively to depict the undulation and change of the terrain surface to a certain extent, which has a good effect
\nThe terrain factors included in this dataset include micro terrain factors and macro terrain factors. The micro terrain factors include slope, slope direction, slope variability, slope direction variability, plane curvature, section curvature, comprehensive curvature, etc; There are 12 macro terrain factors, including terrain roughness, terrain undulation, elevation variation coefficient and surface cutting depth
\nThe spatial resolution of the data is 30m, and the data is in grid format.
", "ds_time_res": "", "ds_acq_place": "Aba Prefecture, Chengdu City, Ganzi Prefecture, Luding County, Leshan City, Liangshan Prefecture, Meishan City, Ya'an City, Yibin City, Zhaotong City", "ds_space_res": "30m", "ds_projection": "", "ds_process_way": "After stitching multiple Dems, the Dems are trimmed by using the vector boundary of the 200 km extension of the earthquake epicenter, and finally the terrain factor data products of the earthquake area are obtained.", "ds_ref_instruction": "" } }, "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", "坡向变率" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "阿坝州", "成都市", "甘孜州", "泸定县", "乐山市", "凉山州", "眉山市", "雅安市", "宜宾市", "昭通市" ], "ds_time_tags": [ 2022 ], "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" }