Application of geospatial technologies and data to improve assessments of land cover dynamics across Metro Vancouver

全面了解城市环境，包括空间和时间方面， 确保可持续和适应性强的城市生态系统至关重要。精确的城市运营模型 增长和土地使用变化对公用事业、城市和景观规划者提出了重大挑战， 经济学家和健康专家。一个主要问题是缺乏严格的地理空间数据作为地籍数据来源 对于城市规划来说，可能只限于几年不一致的时间，或者是以零碎的方式创建的 多个机构和公用事业，采用不同的标准和方法。 该项目的目的是建立一个最新的，连续的土地覆盖分类的大温哥华 从2014/2015年RapidEye图像，与激光雷达数据，如果可用，以产生一个准确的， 当代地理空间层。大温哥华需要这些土地覆盖数据来支持多个项目 包括敏感生态系统绘图、生态系统服务评估、弗雷泽河谷下游排放 除其他用途外，还包括盘存和生态健康监测。土地覆被数据信息已 被认为对所有这些应用程序至关重要，因为它可以用来调查重要的指标， 生态健康，包括建筑位置，土地覆盖类型，树木覆盖，不透水表面， 城市水质。其目的不仅是创建一个高质量的区域土地覆盖数据集，以满足当今的 需要，但也阐明了一个明确的，可重复的过程，以定期更新数据集，以继续 支持长期监测工作。

A comprehensive understanding of the urban environment, including both spatial and temporal dimensions, is fundamental to ensure sustainable and adaptive urban ecosystems. Accurate operational modelling of urban growth and land-use change presents significant challenges to utilities, city and landscape planners, economists, and health experts. One major issue is a lack of rigorous geo-spatial data as cadastral data sources for urban planning may be limited to only a few inconsistent years, or created in a piecemeal fashion by multiple agencies and utilities with different standards and methods. The aim of the project is to build an up-to-date, contiguous land cover classification of the Metro Vancouver area from 2014/2015 RapidEye imagery, with LiDAR data where available, to produce an accurate and contemporary geo-spatial layer. Metro Vancouver requires this land cover data to support several programs including sensitive ecosystem mapping, ecosystem services assessment, the Lower Fraser Valley Emission Inventory and ecological health monitoring, amongst other uses. Land cover data information has been identified as critical for all of these applications as it can be used to investigate important indicators of ecological health that incorporate building locations, land cover types, tree cover, impervious surfaces, and urban water quality. The aim is to not only create a high-quality regional land cover dataset to meet today's needs, but also to articulate a clear, repeatable process to update the dataset at regular intervals to continue to support monitoring work over the longterm.