{ "created": "2021-09-24 15:54:03", "updated": "2026-04-28 05:29:24", "id": "2f936ded-d2b9-44cf-b58e-54e9000b13af", "version": 4, "ds_topic": null, "title_cn": "渭河流域地形因子数据集", "title_en": "Data set of topographic factors in the Weihe River Basin", "ds_abstract": "

  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

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  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，利用渭河流域的矢量边界对DEM进行裁剪，最终得到渭河流域的DEM数据。\n

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  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

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  数据的空间分辨率30米，数据为栅格格式，投影为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；按照渭河流域边界为研究区域进行裁剪，生成渭河流域30米DEM数据产品。\n

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  （2）利用Arcgis软件，运用表面分析工具和栅格计算器工具，提取并计算渭河流域的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": "渭河流域", "ds_acq_lon_east": 110.27444444444444, "ds_acq_lat_south": 33.69611111111111, "ds_acq_lon_west": 103.9713888888889, "ds_acq_lat_north": 37.40833333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 4074062701, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": "30米", "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "2f936ded-d2b9-44cf-b58e-54e9000b13af.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0d5fea4e-6fd7-4c70-b28b-3f91204c579a", "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": "2021-09-28 17:37:25", "last_updated": "2025-05-29 11:35:55", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.WRiver.2021.11", "i18n": { "en": { "title": "Data set of topographic factors in the Weihe River Basin", "ds_format": "tif", "ds_source": "

  Raw DEM data were obtained from the Geospatial Data Cloud (http://www.gscloud.cn/search).", "ds_quality": "

  The source data were resampled and the data quality is good. the vertical error of the SRTM DEM data is less than 16 m. The data were resampled and the data quality was good.", "ds_ref_way": "", "ds_abstract": "

  Terrain factor can indicate the basic characteristics of the terrain surface, but it is difficult to use a terrain factor is also difficult to accurately and specifically express the characteristics of the terrain, for this reason, a variety of terrain factors can be considered comprehensively, to a certain extent, portraying the undulation of the surface of the terrain changes, with good results.\n

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  The data source used for the data is the DEM. obtained from the Geospatial Data Cloud (http://www.gscloud.cn/search), multiple DEMs were spliced, and the vector boundaries of the Weihe River Basin were used to crop the DEMs, and finally the DEM data of the Weihe River Basin was obtained.\n

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  This dataset contains two kinds of topographic factors: micro-topographic factors and macro-topographic factors, micro-topographic factors include slope, slope direction, slope variability, slope direction variability, plane curvature, profile curvature, integrated curvature, etc.; and macro-topographic factors include topographic roughness, topographic undulation, coefficient of variation of elevation, and depth of cut of the ground surface, which are totaled to be 11 kinds in total.\n

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  The spatial resolution of the data is 30 meters, the data is in raster format and the projection is WGS84.

", "ds_time_res": "年", "ds_acq_place": "Weihe River Basin", "ds_space_res": "30米", "ds_projection": "", "ds_process_way": "

  (1) Image stitching and resampling using Python program; cropping according to the Weihe River Basin boundary for the study area, and generating 30m DEM data products for the Weihe River Basin.\n

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  (2) Using Arcgis software, we extracted and calculated 11 topographic factors of the Weihe River Basin by applying the surface analysis tool and the raster calculator tool.", "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", "曲率", "坡度变率", "坡向变率", "地形起伏度", "地表粗糙度", "高程变异系数", "地表切割深度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "渭河流域" ], "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" }