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Monitoring land cover change and ecological integrity in Canada's national parks

机译:监测加拿大国家公园的土地覆盖变化和生态完整性

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Canada's national parks system includes 43 terrestrial parks covering 3% (276,275 km(2)) of the country's landmass and representing its full range of natural regions. Considering the vast and often remote areas under protection, Parks Canada Agency envisions Earth Observation technology to be the basis for a Park Ecological Integrity Observing System (Park-EIOS), and integral component of a larger national parks ecological integrity (EI) monitoring program. Park-EIOS is planned for operational use beginning in 2008 and includes coarse filter El indicators corresponding to landscape pattern, succession and retrogression, net primary productivity, and focal species distributions within parks and their surrounding greater park ecosystems. A primary input to produce all four indicators is a time series of land cover information derived from medium (similar to 30 m) resolution, Landsat-class sensors. This paper describes a generic, end-to-end change detection framework developed for Park-EIOS, labelled Automated Multi-temporal Updating through Signature Extension (AMUSE). AMUSE involves radiometric normalization steps, production of a baseline land cover, change vector analysis to identify changed pixels, and a new constrained signature extension approach to update the land cover of changed areas. We present the method and results applied to six pilot parks using time series of Landsat TM/ETM+ imagery from 1985-2005.
机译:加拿大的国家公园系统包括43个陆地公园,覆盖了该国陆地的3%(276,275公里(2)),代表了整个自然地区。考虑到受保护的广阔地区和经常偏远地区,加拿大公园管理局设想将地球观测技术作为公园生态完整性观测系统(Park-EIOS)的基础,并且是较大的国家公园生态完整性(EI)监测计划的组成部分。 Park-EIOS计划于2008年开始投入使用,其中包括与景观格局,演替和倒退,净初级生产力以及公园及其周边更大的公园生态系统中的主要物种分布相对应的粗滤El指标。产生所有四个指标的主要输入是时间序列的土地覆盖信息,该信息来自中等(近似30 m)分辨率的Landsat级传感器。本文介绍了为Park-EIOS开发的通用,端到端变更检测框架,该框架标记为通过签名扩展自动进行多时间更新(AMUSE)。 AMUSE涉及辐射归一化步骤,生产基线土地覆盖,进行变化矢量分析以识别变化的像素以及采用新的约束签名扩展方法来更新变化区域的土地覆盖。我们使用1985-2005年的Landsat TM / ETM +影像时间序列,介绍了应用于六个试点公园的方法和结果。

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