Technical Framework and Preliminary Practices of Global Geographic Information Resource Construction

Hongwei Zhang, Jiage Chen, Chenchen Wu, Lijun Chen
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Abstract

Abstract. High-precision and real-time global geographic information data are fundamental and strategic resources in various fields such as safeguarding global strategic interests, studying global environmental changes, and planning for sustainable development. However, due to challenges related to ground control and obtaining reference information, the development of global geographic information resources faces significant hurdles in terms of geometric positioning, information extraction, and data mining. This paper starts with the characteristics of domestically produced remote sensing images and proposes a comprehensive technical framework centered around "uncontrolled geometric positioning, intelligent interpretation of typical elements, mining of multi-source data from abroad, and intelligent hybrid collection and compilation of Digital Elevation Models (DEMs)." The paper elaborates on the key technical challenges that need to be overcome and their corresponding solutions. It also outlines the development of relevant data products and production technical specifications. Multiple production-oriented software tools were developed, leading to the creation of a variety of data products in multiple types and scales, including global 30-meter land cover data, DEM data, core vector data, and more.
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全球地理信息资源建设的技术框架和初步实践
摘要高精度、实时性的全球地理信息数据是维护全球战略利益、研究全球环境变化、规划可持续发展等各个领域的基础性、战略性资源。然而,由于地面控制和参考信息获取等方面的挑战,全球地理信息资源的开发在几何定位、信息提取和数据挖掘等方面面临着巨大障碍。本文从国产遥感影像的特点入手,提出了以 "几何定位失控、典型要素智能解译、国外多源数据挖掘、数字高程模型(DEM)智能混合采集与编制 "为核心的综合技术框架。论文详细阐述了需要克服的关键技术挑战及其相应的解决方案。文件还概述了相关数据产品和生产技术规范的开发情况。开发了多种面向生产的软件工具,从而创建了多种类型和尺度的数据产品,包括全球 30 米土地覆被数据、DEM 数据、核心矢量数据等。
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