测绘通报 ›› 2026, Vol. 0 ›› Issue (5): 1-6.doi: 10.13474/j.cnki.11-2246.2026.0501

• 第二十八届中国科协年会学术论文 •    

空天信息技术驱动的区域经济韧性评估与政策响应机制研究

金江磊, 闫浩文, 张欣悦, 胡文程   

  1. 兰州交通大学测绘与地理信息学院, 甘肃 兰州 730070
  • 收稿日期:2026-04-16 发布日期:2026-06-09
  • 通讯作者: 闫浩文。E-mail:yanhw@mail.lzjtu.cn
  • 作者简介:金江磊(1980—),男,博士,副教授,研究方向为空间分析及遥感应用。E-mail:jinjianglei@lzjtu.edu.cn
  • 基金资助:
    国家重点研发计划重点专项课题(2022YFB3903604);国家自然科学基金(42371463);兰州交通大学优秀平台(201806)

Research on the assessment of regional economic resilience and policy response mechanism driven by aerospace information technology

JIN Jianglei, YAN Haowen, ZHANG Xinyue, HU Wencheng   

  1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2026-04-16 Published:2026-06-09

摘要: [目的]针对传统经济韧性评估依赖滞后、粗粒度统计数据而难以实现动态测度与前瞻性政策响应的问题,本文探索空天信息技术在区域经济韧性评估与政策响应机制中的应用潜力,构建“数据-评估-机制”一体化范式,为脱贫地区巩固成果、防范返贫风险提供科学支撑。[方法]以甘肃省75个脱贫县区为案例,整合多源空天遥感与社会经济数据,构建“暴露度-敏感性-适应能力”三维韧性指标体系;采用熵权空间自相关模型评估2015—2025年韧性时空演变,利用LSTM与多情景模拟预测不同冲击下韧性趋势,设计“监测-预警-模拟-优化”闭环政策响应机制,并通过8个脱贫县进行验证。[结果]空天信息增强模型较传统方法在干旱冲击监测中敏感性提升22%,夜间灯光变化率与GDP增长率的相关系数达0.82;韧性呈“东南高、西北低”格局,临夏回族自治州北部、定西市北部为“低-低”集聚区,最后脱贫摘帽的8县韧性普遍偏低;植被覆盖度、土壤水分是关键韧性指标;基于空天信息的精准干预使极端干旱下县域韧性指数提升28%,“产业多元化+技术推广”对干旱农业县效果最佳。[结论]空天信息技术可有效弥补传统数据短板,实现从事后评估到事前预警的提升。本文研究为脱贫地区韧性研究提供了科学工具,对完善经济韧性理论与政策信息学数据基础具有重要价值。

关键词: 空天信息技术, 经济韧性, 脱贫地区, 政策响应机制, 地理空间人工智能

Abstract: [Purposes] Addressing the challenges of traditional economic resilience assessments,which rely on lagging and coarse-grained statistical data,making it difficult to achieve dynamic measurement and forward looking policy responses,this study explores the potential of space-air information technology in regional economic resilience assessment and policy response mechanisms.It aims to construct an integrated paradigm of “data-assessment-mechanism” to provide scientific support for consolidating achievements and preventing the risk of returning to poverty in poverty-stricken areas.[Methods] Taking 75 poverty-stricken counties in Gansu province as case studies,this research integrates multi-source space-air remote sensing and socio-economic data to build a three-dimensional resilience index system encompassing “exposure-sensitivity-adaptability”.It employs an entropy weight spatial autocorrelation model to assess the spatiotemporal evolution of resilience from 2015 to 2025,utilizes LSTM and multi-scenario simulations to predict resilience trends under different shocks,and designs a closed-loop policy response mechanism of “monitoring-warning-simulation-optimization”,which is validated through eight poverty-stricken counties.[Findings] Compared to traditional methods,the space-air information enhancement model improves sensitivity in drought impact monitoring by 22%,with a correlation coefficient of 0.82 between the change rate of nighttime lights and GDP growth rate.The resilience pattern is “high in the southeast and low in the northwest”,with the northern parts of Linxia Hui Autonomous Prefecture and Dingxi city being “low-low” agglomeration areas.The resilience of the eight counties that have recently been lifted out of poverty is generally low.Vegetation coverage and soil moisture are key resilience indicators.Precise interventions based on space-air information have increased the county resilience index by 28%under extreme drought conditions,with “industry diversification+technology promotion” showing the best effect in drought-affected agricultural counties.[Conclusions] Space-air information technology can effectively compensate for the shortcomings of traditional data,achieving an improvement from post-assessment to pre-warning.This study provides scientific tools for resilience research in poverty-stricken areas and is of great value in improving the theoretical and policy informatics data foundation of economic resilience.

Key words: aerospace information technology, economic resilience, poverty-stricken areas, policy response mechanism, geospatial artificial intelligence

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