Multi-spectral spaceborne sensors with different spatial resolutions produce Earth observation (EO) time series (TS) with global coverage. The interactive visualization and interpretation of TS is essential to better understand changes in land-use and land-cover and to extract reference information for model calibration and validation. However, available software tools are often limited to specific sensors or optimized for application-specific visualizations. To overcome these limitations, we developed the EO Time Series Viewer, a free and open source QGIS plugin for user-friendly visualization, interpretation and labeling of multi-sensor TS data. The EO Time Series Viewer (i) combines advantages of spatial, spectral and temporal data visualization concepts that are so far not available in a single tool, (ii) provides maximum flexibility in terms of supported data formats, (iii) minimizes the user-interactions required to load and visualize multi-sensor TS data and (iv) speeds-up labeling of TS data based on enhanced GIS vector tools and formats.

具有不同空间分辨率的多光谱星载传感器可产生覆盖全球的地球观测（EO）时间序列（TS）。TS的交互式可视化和解释对于更好地了解土地使用和土地覆盖的变化以及提取参考信息以进行模型校准和验证至关重要。但是，可用的软件工具通常限于特定的传感器或针对特定于应用程序的可视化进行了优化。为了克服这些限制，我们开发了EO Time Series Viewer，这是一个免费的开源QGIS插件，用于对多传感器TS数据进行用户友好的可视化，解释和标记。EO时间序列查看器（i）结合了迄今为止在单个工具中尚不具备的空间，频谱和时间数据可视化概念的优点，