LiDAR and multispectral remote sensing for environmental applications

用于环境应用的激光雷达和多光谱遥感

• 批准号: 41762-2008
• 负责人: Franklin, Steven
• 金额: $ 2.33万
• 依托单位: Trent University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=497085
• 关键词: LiDAR; multispectral; remote; sensing; environmental

Light Detection and Ranging (LiDAR) is a relatively new remote sensing tool - one which can provide detailed observations of environmental change, biophysical properties, topography, and disturbance processes related to environmental functioning and human-alteration patterns. Environmental scientists and managers need better ways of using these remotely-sensed data; my research program is focussed on this idea of combining airborne LiDAR data with multispectral imagery to create information products that can be used to understand and manage the processes driving environmental change in Canada and worldwide. This work is a fine balance between remote sensing applications-driven research and technology-driven methods development; both are needed to make possible fundamental insights in several environmental earth science disciplines (geomorphology, hydrology, landscape ecology, forest science). New challenges include the development of fusion and texture procedures, and the creation of image analysis methods to estimate geomorphometrics and forest structure, their changes over time, and their likely status (i.e. prediction). This information is necessary to understand processes such as geomorphic controls on landscape evolution (e.g., sediment budget), forest structure and productivity, and a wide variety of environmental management applications that cross geological, ecological, topographical, and all geographical boundaries (e.g., biodiversity). First, there must be fundamental improvements in our knowledge of how image spectral and texture patterns are influenced by human and natural disturbances such as landslides and forest management practices. In continuing this work, I will contribute to the solution of environmental problems, such as natural hazard assessment, by adding to the accumulation of necessary environmental knowledge in key Canadian landscapes. Anyone working with remote sensing in boreal and mountain landscapes, anyone with a large area environmental management issue or problem requiring scientific observations of reflectance, topography, biophysical functioning, ecological indicator, will benefit with access to my results and methods.

光探测和测距（LiDAR）是一种相对较新的遥感工具，它可以提供对环境变化、生物物理特性、地形以及与环境功能和人类改变模式有关的干扰过程的详细观测。环境科学家和管理人员需要更好的方法来使用这些遥感数据;我的研究计划侧重于将机载激光雷达数据与多光谱图像相结合，以创建可用于理解和管理推动加拿大和全球环境变化的过程的信息产品。这项工作是遥感应用驱动的研究和技术驱动的方法开发之间的良好平衡;两者都需要使几个环境地球科学学科（地貌学，水文学，景观生态学，森林科学）的基本见解。新的挑战包括融合和纹理程序的开发，以及创建图像分析方法来估计地貌和森林结构，它们随时间的变化以及它们可能的状态（即预测）。这些信息对于理解地貌对景观演变的控制等过程是必要的（例如，沉积物收支）、森林结构和生产力，以及跨越地质、生态、地形和所有地理边界（例如，生物多样性）。首先，必须从根本上提高我们对图像光谱和纹理模式如何受到滑坡和森林管理做法等人为和自然干扰影响的认识。在继续这项工作的过程中，我将通过增加加拿大主要景观的必要环境知识的积累，为解决自然灾害评估等环境问题做出贡献。任何在北方和山区景观中从事遥感工作的人，任何有大面积环境管理问题或需要对反射率、地形、生物物理功能、生态指标进行科学观测的问题的人，都将受益于我的结果和方法。