The use of time series analysis with moderate resolution satellite imagery is increasingly common, particularly since the advent of freely available Landsat data. Dense time series analysis is providing new information on the timing of landscape changes, as well as improving the quality and accuracy of information being derived from remote sensing. Perhaps most importantly, time series analysis is expanding the kinds of land surface change that can be monitored using remote sensing. In particular, more subtle changes in ecosystem health and condition and related to land use dynamics are being monitored. The result is a paradigm shift away from change detection, typically using two points in time, to monitoring, or an attempt to track change continuously in time. This trend holds many benefits, including the promise of near real-time monitoring. Anticipated future trends include more use of multiple sensors in monitoring activities, increased focus on the temporal accuracy of results, applications over larger areas and operational usage of time series analysis.

中文翻译：

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从变化检测到遥感监测的转变：范式转变

使用中等分辨率卫星图像进行时间序列分析越来越普遍，尤其是在出现免费可用的 Landsat 数据之后。密集时间序列分析正在提供有关景观变化时间的新信息，并提高从遥感获得的信息的质量和准确性。也许最重要的是，时间序列分析正在扩展可使用遥感监测的地表变化种类。特别是，正在监测生态系统健康和状况以及与土地利用动态相关的更微妙的变化。结果是范式从变化检测（通常使用两个时间点）转变为监控或尝试及时连续跟踪变化。这种趋势有很多好处，包括近乎实时监控的承诺。