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泛第三极地质矿产岩浆岩分布数据集(2022.1-2024.1)

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国家青藏高原科学数据中心2024-01-17 更新2024-03-07 收录
下载链接:
https://data.tpdc.ac.cn/zh-hans/data/8fd9c6ac-feca-4800-a3a3-9b7d7e9f02fc
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资源简介:
本数据库包含空间范围:①我国青藏高原、新疆;②中亚(哈萨克斯坦、吉尔吉斯斯坦、塔吉克斯坦、乌兹别克斯坦);③西亚(巴基斯坦、阿富汗、伊朗);④东南亚(泰国、越南、老挝、缅甸、柬埔寨)。数据内容主要有:①1:500万地质数据集(地质体和构造);②金属矿产数据集(矿床、矿点、矿化点);图件为泛第三极岩浆岩分布图(1:500万)。空间数据库采用ArcGIS平台,可为区域成矿规律研究、资源潜力评估、战略远景区圈定以及各类专题图件编制提供基础数据支撑。数据库格式为文件数据库(.GDB),图件包括工程文件(MXD)和栅格图(JPG),也可根据需要生成各类常见图形格式(PDF、TIF、EPS等)。泛第三极全区(1:500万)采用兰伯特等形圆锥投影,中央经线为东经84度,双纬分别为20度和55度。 数据来源及加工方法;基础地质数据主要来源于任继舜院士编亚洲地质图(2015)(1:500万);矿产数据主要来源包括全国矿产资源潜力评价项目成果(2012)、英国伦敦自然历史博物馆中亚矿产数据库及专题图(2014)、美国地质调查局阿富汗数据集(2008)、域内各国地质调查部门相关资料数据、域内矿产相关论文论著。此外,为满足各类数据修改及完善大量采用遥感数据,具体包括:ETM+、OLI、ASTER、Worldview等影像数据以及90m、30米、12.5mDEM数据等。数据质量描述;为满足泛第三极区域成矿规律研究、地质矿产图和成矿预测图编制需要,在数据空间准确性、逻辑一致性和数据完整性方面进行编辑、处理以及补充完善。具体包括:①矢量化,基于前述资料进行了大量矢量化工作,用于补充数字资料缺失区域(伊朗、巴基斯坦),同时根据资料更新程度合并、分割各类面要素和线要素,矢量化工作按照我国相关规范要求比例尺精度要求下完成;②拓扑处理,消除重叠面、空区等拓扑错误;③完善要素属性结构和补充要素属性内容,围绕区域成矿规律研究、地质矿产图和成矿预测图编制目标,依据我国相关规范,结合具体资料和数据内容,建立了相应数据模型,完善了地质体、构造、矿产要素类属性结构并完成了相应属性的填写工作;④基于以上数据处理内容,结合泛第三极研究成果和最新认识,对区内相关地质内容进行了进一步修改和完善。 数据应用成果及前景:泛第三极地质矿产岩浆岩分布数据集主要服务于泛第三极全区、重要成矿带以及国别区域成矿规律研究、地质矿产岩浆分布图编制,比例尺为1:500万(泛第三极全区)。

This database covers the following spatial regions: 1) The Qinghai-Tibet Plateau and Xinjiang of China; 2) Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan); 3) West Asia (Pakistan, Afghanistan, Iran); 4) Southeast Asia (Thailand, Vietnam, Laos, Myanmar, Cambodia). The main data contents include: 1) 1:5 million scale geological dataset (including geological bodies and structures); 2) Metallic mineral dataset (including ore deposits, occurrences, and mineralization spots). The accompanying map is the 1:5 million scale magmatic rock distribution map of the Pan-Third Pole region. The spatial database is developed on the ArcGIS platform, which can provide fundamental data support for regional metallogenic regularity research, resource potential assessment, strategic prospective area delineation, and compilation of various thematic maps. The database is stored in File Geodatabase (.GDB) format. The map files include engineering files ("MXD") and raster images ("JPG"), and various common graphic formats such as PDF, TIF, EPS, etc., can also be generated upon request. The entire Pan-Third Pole region (1:5 million scale) adopts the Lambert Conformal Conic projection, with the central meridian set at 84° east longitude, and two standard parallels at 20° north latitude and 55° north latitude respectively. Data sources and processing methods: Basic geological data mainly originates from the *Asian Geological Map (1:5 million scale)* compiled by Academician Ren Jishun (2015). Mineral data sources mainly include the results of the National Mineral Resource Potential Assessment Project (2012), the Central Asian Mineral Database and thematic maps from the Natural History Museum, London, UK (2014), the Afghanistan dataset from the U.S. Geological Survey (2008), relevant data from geological survey departments of countries in the region, and academic papers and monographs related to minerals in the region. In addition, a large volume of remote sensing data was utilized to modify and improve various datasets, including ETM+, OLI, ASTER, Worldview and other image data, as well as 90m, 30m, and 12.5m DEM data. Data quality description: To meet the requirements of Pan-Third Pole regional metallogenic regularity research and compilation of geological, mineral, and metallogenic prediction maps, editing, processing, and supplementary improvements were conducted to ensure spatial accuracy, logical consistency, and data integrity of the dataset. Specific measures are as follows: 1) Vectorization: A large number of vectorization tasks were carried out based on the aforementioned materials to supplement digital data-deficient regions (Iran and Pakistan). Meanwhile, surface and line features were merged or split according to the update status of the source materials. All vectorization work was completed in compliance with the scale accuracy requirements specified in relevant Chinese standards. 2) Topology processing: Topological errors such as overlapping polygons and empty areas were eliminated. 3) Improvement of feature attribute structures and supplementation of attribute contents: Centering on the goals of regional metallogenic regularity research and compilation of geological, mineral, and metallogenic prediction maps, a corresponding data model was established in accordance with relevant Chinese specifications, combined with specific source materials and data contents. The attribute structures of geological body, structure, and mineral feature classes were optimized, and corresponding attribute values were filled out. 4) Further revision and improvement: Based on the above data processing procedures, combined with existing research results and the latest understandings of the Pan-Third Pole region, relevant geological contents within the region were further revised and improved. Data application achievements and prospects: The Pan-Third Pole geological and mineral magmatic rock distribution dataset is primarily designed to support regional metallogenic regularity research and compilation of geological and mineral magmatic distribution maps for the entire Pan-Third Pole region, important metallogenic belts, and national/regional scales, with a scale of 1:5 million (for the entire Pan-Third Pole region).
提供机构:
刘琰
创建时间:
2024-01-16
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集涵盖了泛第三极地区(包括我国青藏高原、新疆以及中亚、西亚、东南亚部分国家)的岩浆岩分布信息,比例尺为1:500万,数据格式为文件数据库(.GDB)和栅格图(JPG),主要用于区域成矿规律研究和资源潜力评估。数据来源包括多国地质调查资料和遥感数据,经过矢量化、拓扑处理等严格的质量控制。
以上内容由遇见数据集搜集并总结生成
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