The East African mountain ecosystems are facing increasing threats due to global change, putting their unique socio-ecological systems at risk. To monitor and understand these changes, researchers and stakeholders require accessible analysis-ready remote sensing data. Although satellite data is available for many applications, it often lacks accurate geometric orientation and has extensive cloud cover. This can generate misleading results and make it unreliable for time-series analysis. Therefore, it needs comprehensive processing before usage, which encompasses multi-step operations, requiring large computational and storage capacities, as well as expert knowledge. Here, we provide high-quality, atmospherically corrected, and cloud-free analysis-ready Sentinel-2 imagery for the Bale Mountains (Ethiopia), Mounts Kilimanjaro and Meru (Tanzania) ecosystems in East Africa. Our dataset ranges from 2017 to 2021 and is provided as monthly and annual aggregated products together with 24 spectral indices. Our dataset enables researchers and stakeholders to conduct immediate and impactful analyses. These applications can include vegetation mapping, wildlife habitat assessment, land cover change detection, ecosystem monitoring, and climate change research.

由于全球变化，东非山区生态系统正面临日益严重的威胁，使其独特的社会生态系统面临风险。为了监测和了解这些变化，研究人员和利益相关者需要可访问的可分析的遥感数据。尽管卫星数据可用于许多应用，但它通常缺乏准确的几何方向并且具有广泛的云层覆盖。这可能会产生误导性结果，并使时间序列分析变得不可靠。因此，它在使用前需要进行全面的处理，其中包括多步骤操作，需要大量的计算和存储能力以及专业知识。在这里，我们为东非的贝尔山脉（埃塞俄比亚）、乞力马扎罗山和梅鲁山（坦桑尼亚）生态系统提供高质量、经大气校正且无云分析的 Sentinel-2 图像。我们的数据集范围从 2017 年到 2021 年，以月度和年度汇总产品以及 24 个光谱指数的形式提供。我们的数据集使研究人员和利益相关者能够进行即时且有效的分析。这些应用包括植被测绘、野生动物栖息地评估、土地覆盖变化检测、生态系统监测和气候变化研究。