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

对城市环境的全面理解，包括空间和时间维度，是 这对确保可持续和适应性的城市生态系统至关重要。准确的城市运营模型 增长和土地利用的变化给公用事业、城市和景观规划者带来了巨大的挑战， 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源 因为城市规划可能只限于几个不一致的年份，或者以零碎的方式由 具有不同标准和方法的多个机构和公用事业公司。 该项目的目标是建立一个最新的、连续的温哥华大都市土地覆盖分类 2014/2015年的RapidEye图像区域，以及可用的LiDAR数据，以生成准确和 当代地理空间层。温哥华大都会需要这些土地覆盖数据来支持几个项目 包括敏感的生态系统测绘、生态系统服务评估、下弗雷泽山谷排放 库存和生态健康监测，以及其他用途。土地覆盖数据信息已被 被确定为对所有这些应用程序至关重要，因为它可用于调查 生态健康，包括建筑位置、土地覆盖类型、树木覆盖、不透水表面和 城市水质。其目标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，但也要阐明一个清晰、可重复的过程，以定期更新数据集，以便继续 长期支持监测工作。

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.