Airborne and embark remote sensing for vegetation monitoring

用于植被监测的机载和机载遥感

• 批准号: 121961-2007
• 负责人: Viau, Alain
• 金额: $ 1.46万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=365189
• 关键词: Airborne; embark; remote; sensing; vegetation

The objective of this discovery grant is to monitor and characterize vegetation cover by using active, passive and thermal airborne and ground mobile embark remote sensing sensors.The remote sensing sensors will be used to monitor vegetation phenology, growth, pest and vigor (water stress) as well as to detect environmental stress and generate morphological 3D model.During the past 5 years we have developed a fluorescence sensor (we have received and innovation award from NSERC) as well as a multisensor integrated image processing system for airborne image acquisition. In the short term the objective is to have a better understanding of the optical proprieties of the vegetation cover by using a multi-sensors approach at different scale; in the mid-term we will invest and contribute on the data acquisition and processing methods base on the combination of active and passive sensors as well as thermal and fluorescence sensors; and finally on the long term we will achieve the adaptation and development of operational methods and tools to support the use of multi-sensors airborne and embark remote sensing plateform to monitor vegetation cover.The specific objectives are:1) Evaluate different methodology to acquire remote sensing data representing the spectral absorption and reflectance as well as the thermal proprieties of a vegetation cover; 2) The second objective is to develop and adapt multi-sensors data fusion and integration methods to extract optical, thermal and spectral information correlated with vegetation stresses (nutrient and water stresses) at different spatial scales. In particular, thesemethods will involve the use of computer models and algorithms to address three types of problem: (i) the interpretation of the fluorescence, reflectance and thermal signature in relation to the vegetation stresses; (ii) the interpretation of thermal and multispectral reflectance data for the characterization of water stress; 3) The third objective is to propose operational methods to use thermal and passive remote sensing technologies incombination with LIDAR for the monitoring and the characterization of the vegetation status and vigor in relation to the morphometry and the phenology.

这项发现补助金的目的是利用主动、被动和热机载和地面移动的机载遥感传感器监测和表征植被覆盖。遥感传感器将用于监测植被物候、生长、害虫与活力在过去的5年里，我们开发了一种荧光传感器，（曾获NSERC创新奖）以及用于机载图像采集的多传感器集成图像处理系统。短期目标是通过使用不同尺度的多传感器方法，更好地了解植被覆盖的光学特性;中期目标是投资并促进基于主动和被动传感器以及热和荧光传感器组合的数据获取和处理方法;最后，长远来说，我们会改进和发展操作方法和工具，以支援使用多传感器机载和机载遥感平台监测植被覆盖情况。具体目标如下：1）评估获取代表植被光谱吸收和反射以及热特性的遥感数据的不同方法; 2）第二个目标是开发和调整多传感器数据融合和集成方法，热量和光谱信息与不同空间尺度上的植被胁迫（养分和水分胁迫）相关。特别是，这些方法将涉及使用计算机模型和算法来解决三类问题：（i）解释与植被压力有关的荧光、反射率和热特征;（ii）解释热和多光谱反射率数据以表征水分压力;第三章第三个目标是提出业务方法，结合激光雷达使用热和被动遥感技术，从形态测量学和生物学角度监测和表征植被状况和活力。物候学