Airborne and embark remote sensing for vegetation monitoring

这项发现拨款的目的是通过使用主动、被动和热机载和地面移动机载遥感传感器来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、虫害和活力（水分胁迫），以及检测环境胁迫和生成形态3D模型。在过去的5年中，我们开发了一种荧光传感器（我们获得了NSERC的创新奖）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；在中期，我们将投资并促进基于有源和无源传感器以及热传感器和荧光传感器相结合的数据采集和处理方法；最后，从长远来看，我们将实现操作方法和工具的适应和发展，以支持使用机载多传感器和机载遥感平台来监测植被覆盖。具体的目标是：1)评估不同的方法来获取遥感数据，代表光谱吸收和反射率以及植被覆盖的热特性；2)发展和适应多传感器数据融合与集成方法，提取不同空间尺度植被胁迫（养分胁迫和水分胁迫）相关的光、热、光谱信息。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)解释与植被应力有关的荧光、反射率和热特征；（ii）解释热和多光谱反射数据，以表征水压力；3)第三个目标是提出利用热遥感和被动遥感技术结合激光雷达对植被形态和物候特征进行监测和表征的操作方法。

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.