A GIS-based system for assessing emerald ash borer infestation

该项目的目标是开发一个基于地理信息系统（GIS）的系统，以描述和模拟入侵的翡翠灰螟（EAB，Agrilus planipennis Fairmaire）昆虫侵扰的蔓延，目前在安大略省的许多地方盛行。 我们计划开发创新的方法，以获得最新的信息灰树的位置和程度（存在/不存在）的EAB侵扰。将设计和实施一个面向对象和以知识为基础的分层框架，利用加拿大各城市使用最广泛的地理信息系统平台-ArcGIS软件，从多源遥感数据中识别单个白蜡树。EAB蔓延在区域和地方尺度的空间格局的特点和控制EAB甲虫的蔓延的关键因素将被确定，并明确包括在EAB蔓延模型。将为研究中心生成EAB风险图，并建议管理选项。* 该项目的成果将使人们更好地了解与这种破坏性昆虫传播相关的风险，并就其检测、监测和控制做出更明智的决定，这将有助于抑制其传播，并使当地市政当局能够保护其城市树木库存中的生物量。 该项目将开发的方法和框架将推进单个树冠划定和物种识别以及地理空间建模方面的遥感科学，并将转让给我们的工业合作伙伴加拿大ESRI，以便在其市政客户中进行潜在的商业化。最终，这将带来国家和潜在的国际经济利益。该项目还将为高素质人员提供培训机会，以提高他们在完成教育方案后的就业前景。

The goal of this project is to develop a Geographic Information System (GIS)-based system to characterize and model the spread of the invasive Emerald Ash Borer (EAB, Agrilus planipennis Fairmaire) insect infestation currently rife in numerous parts of the province of Ontario. We plan to develop innovative methods to derive up-to-date information on ash tree locations and the extent (presence/absence) of EAB infestation. An object-oriented and knowledge-based hierarchical framework will be designed and implemented to identify individual ash trees from multi-source remotely sensed data using ArcGIS software, the most widely used GIS platform by Canadian municipalities. The spatial patterns of the EAB spread at both regional and local scales will be characterized and the key factors controlling the spread of the EAB beetles will be identified and explicitly included in the EAB spread model. An EAB risk map will be generated for the study sites and management options will be suggested. ****The outcome of this project will result in a better understanding of the risk associated with the spread of this destructive insect, and allow better informed decisions to be made regarding its detection, monitoring, and control, which will help to inhibit its spread and allow local municipalities to preserve biomass in their urban tree inventory. The methodology and framework that will be developed in this project will advance remote sensing science in individual tree crown delineation and species identification and geospatial modelling, and will be transferred to our industrial partner, Esri Canada, for potential commercialization among its municipal clients. Ultimately, this will lead to national and potentially international economic benefits. The project will also provide training opportunities for highly qualified personnel to enhance their prospects for employment upon the completion of their education programs.