Development of a multi-temporal effective leaf area index model from multi-spectral lidar; Scaling to Sentinel-1 and Sentinel-2 data using machine learning****

利用多光谱激光雷达开发多时相有效叶面积指数模型；

• 批准号: 537290-2018
• 负责人: Chasmer, Laura
• 金额: $ 1.82万
• 依托单位: University of Lethbridge
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=647256
• 关键词: Development; multi; temporal; effective; leaf

Lidar is a remote sensing technology that is used to map the variations in the three-dimensional structural properties of vegetation, including vegetation height. Mapping of foliage cover and leaf area index (LAI) are required to model how ecosystems use atmospheric carbon dioxide for photosynthesis. While single pulse, discrete return lidar systems show promise for estimating canopy cover, conversion to leaf area index requires knowledge of species type and the proportion of woody vs. leafy material. Identification of these may be achieved using a multi-spectral (MS) lidar system. MS lidar is a relatively new technology that combines rapid emission of laser pulses and reception of these pulses in three different wavelengths. The combination of these may be used to estimate the proportions of different woody and leafy components, and species. The development of this technology has important benefits for validation satellite optical remote sensing estimates of foliage area, which is often used as an indicator for LAI over broad and remote regions. Hatfield Inc. have developed optical remote sensing-based method for deriving LAI, which they will scale up from airborne lidar data and field validation methods. The University of Lethbridge will partner with Hatfield Inc. to develop MS lidar methods validated using digital hemispherical photography (DHP) for forest and wetland sites proximal to Fort McMurray and Fort McKay. The development of this application for mapping of LAI will add to the range of capability of this innovative Canadian MS lidar technology as a scalable 'plot-based' method for quantifying a critical parameter used to estimate carbon uptake by Canada's forests and wetlands.

激光雷达是一种遥感技术，用于绘制植被三维结构特性的变化图，包括植被高度。为了模拟生态系统如何利用大气中的二氧化碳进行光合作用，需要绘制叶覆盖率和叶面积指数(LAI)图。虽然单脉冲、离散回波激光雷达系统在估计树冠覆盖率方面表现出了希望，但转换为叶面积指数需要了解树种类型和木本植物与树叶材料的比例。可以使用多光谱(MS)激光雷达系统实现对这些目标的识别。毫秒激光雷达是一种相对较新的技术，它结合了激光脉冲的快速发射和三个不同波长的脉冲的接收。这些因素的组合可用于估计不同木质和多叶成分以及物种的比例。这项技术的发展对验证卫星光学遥感估算叶面积具有重要意义，叶面积通常被用作广泛和偏远地区叶面积指数的指标。Hatfield公司已经开发了基于光学遥感的方法来获取LAI，他们将从机载激光雷达数据和野外验证方法中扩大规模。莱斯布里奇大学将与Hatfield Inc.合作，为麦克默里堡和麦凯堡附近的森林和湿地开发使用数字半球摄影(DHP)验证的MS激光雷达方法。LAI测绘应用程序的开发将增加这项创新的加拿大MS激光雷达技术的能力范围，作为一种可扩展的基于地块的方法，用于量化用于估计加拿大森林和湿地碳吸收的关键参数。