摘 要
城市热岛效应是全球气候变化背景下城市化进程中的重要环境问题，其监测与评估对城市规划和可持续发展具有重要意义。本研究以无人机遥感技术为核心，结合高分辨率热红外传感器，探索其在城市热岛效应监测中的应用潜力。研究旨在通过无人机平台获取地表温度数据，分析城市热岛的空间分布特征及其影响因素，并提出一种基于多源数据融合的热岛强度评估方法。具体方法包括利用无人机搭载热红外相机进行低空遥感观测，结合地面气象站数据校正辐射传输模型误差，同时引入地理信息系统（GIS）技术实现空间数据分析与可视化。结果表明，无人机遥感能够提供高时空分辨率的地表温度信息，有效捕捉城市热岛的空间异质性，尤其是在复杂地形和微气候条件下表现出显著优势。此外，本研究提出的多源数据融合方法显著提高了热岛强度评估的精度，为城市热岛效应的动态监测提供了新途径。研究的主要创新点在于将无人机遥感技术与传统监测手段相结合，突破了传统卫星遥感在空间分辨率和时间同步性上的局限性，同时为城市热环境调控提供了科学依据和技术支持。研究成果可为城市规划、绿地布局优化及热岛缓解策略制定提供重要参考。
关键词：城市热岛效应；无人机遥感；多源数据融合
ABSTRACT
The urban heat island (UHI) effect is a critical environmental issue in the context of global climate change and urbanization, and its monitoring and evaluation are of great significance for urban planning and sustainable development. This study focuses on the application potential of unmanned aerial vehicle (UAV) remote sensing technology combined with high-resolution thermal infrared sensors for UHI monitoring. The aim is to acquire surface temperature data via UAV platforms, analyze the spatial distribution characteristics of urban heat islands and their influencing factors, and propose a multi-source data fusion-based method for assessing heat island intensity. Specific methodologies include low-altitude remote sensing observations using UAV-mounted thermal infrared cameras, correction of radiative transfer model errors by integrating ground meteorological station data, and the application of geographic information system (GIS) technology for spatial data analysis and visualization. The results indicate that UAV remote sensing can provide high spatiotemporal resolution surface temperature information, effectively capturing the spatial heterogeneity of urban heat islands, particularly under complex topography and microclimate conditions. Moreover, the multi-source data fusion method proposed in this study significantly enhances the accuracy of heat island intensity assessment, offering a new approach for dynamic UHI monitoring. A major innovation of this research lies in the integration of UAV remote sensing technology with traditional monitoring methods, overcoming the limitations of conventional satellite remote sensing in spatial resolution and temporal synchronization. This study also provides scientific evidence and technical support for urban thermal environment regulation. The findings can serve as an important reference for urban planning, optimization of green space layout, and the formulation of UHI mitigation strategies.
Keywords: Urban Heat Island Effect; Unmanned Aerial Vehicle Remote Sensing; Multi-Source Data Fusion
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 城市热岛效应监测的研究背景 1
1.2 无人机遥感技术的应用意义 1
1.3 国内外研究现状分析 1
1.4 本文研究方法与技术路线 2
第2章 无人机遥感技术原理与应用基础 3
2.1 无人机遥感技术的基本原理 3
2.2 遥感数据获取的关键技术 3
2.3 热岛效应监测中的数据需求 4
2.4 无人机平台的选择与优化 4
2.5 数据处理与分析方法综述 5
第3章 无人机遥感在城市热岛效应监测中的实施策略 6
3.1 城市热岛效应的特征分析 6
3.2 无人机遥感监测方案设计 6
3.3 数据采集与质量控制方法 7
3.4 不同场景下的应用案例分析 7
3.5 监测结果的可视化表达 8
第4章 无人机遥感监测效果评估与改进方向 9
4.1 监测数据的准确性评估 9
4.2 热岛效应变化趋势分析 9
4.3 技术局限性与挑战探讨 10
4.4 提高监测效率的改进建议 10
4.5 未来发展方向与潜在应用 11
结论 12
参考文献 13
致 谢 14
