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，包括植被高度。需要绘制树叶覆盖度和叶面积指数 (LAI) 来模拟生态系统如何利用大气二氧化碳进行光合作用。虽然单脉冲、离散返回激光雷达系统有望估计树冠覆盖度，但转换为叶面积指数需要了解物种类型以及木本与叶类材料的比例。这些的识别可以使用多光谱（MS）激光雷达系统来实现。 MS 激光雷达是一项相对较新的技术，结合了激光脉冲的快速发射和三种不同波长的脉冲接收。这些的组合可用于估计不同木本和叶类成分以及物种的比例。这项技术的发展对于验证卫星光学遥感对树叶面积的估计具有重要意义，树叶面积通常用作广泛和偏远地区的 LAI 指标。 Hatfield Inc. 开发了基于光学遥感的方法来推导 LAI，他们将从机载激光雷达数据和现场验证方法中扩展该方法。莱斯布里奇大学将与 Hatfield Inc. 合作开发 MS 激光雷达方法，并使用数字半球摄影 (DHP) 验证麦克默里堡和麦凯堡附近的森林和湿地地点。 LAI 测绘应用程序的开发将扩大这种创新的加拿大 MS 激光雷达技术的能力范围，作为一种可扩展的“基于绘图”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。