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ecodatacube.eu:为欧洲的分析准备的开放环境数据立方体

Martijn Witjes¹, Leandro Parente¹, Josip Križan²

¹OpenGeoHub, Wageningen, Netherlands.

|June 12, 2023

概括

一个开放访问的欧洲数据立方体将Landsat和Sentinel-2卫星数据与用于大陆规模机器学习的数字地形模型 (DTM) 集成在一起. 这种协调的数据立方体提高了土地覆盖分类的准确性,为环境研究提供了宝贵的资源.

科学领域:

地球观测地球观测
地理空间数据科学数据科学
环境监测环境监测

背景情况:

卫星数据的可用性和处理挑战阻碍了大规模的时空空间分析.
一个一致的,准备分析的数据集对于推进环境科学中的机器学习应用至关重要.
开放访问数据倡议对于民主化科学研究和促进合作至关重要.

研究的目的:

创建一个分析准备的,开放式访问的欧洲数据立方体,集成Landsat,Sentinel-2和数字地形模型 (DTM) 数据.
为大陆规模的时空机器学习任务提供协调,多维的特征空间.
评估环境应用的数据立方体组件的准确性和可用性.

主要方法:

对卫星数据进行系统的时空协调,压缩和缺失值的归算.
将Sentinel-2和Landsat的反射率汇总成季度平均值和百分位数,以捕捉季节性变异.
使用时间移动窗口中位数 (TMWM) 方法计算缺失的Landsat数据,在不同欧洲地区评估准确度.

主要成果:

数据立方体成功地集成了Landsat,Sentinel-2和DTM数据,提供了一个一致的时空特征空间.
时间移动窗口中位数 (TMWM) 归算方法在欧洲各地的准确性各不相同,在南欧表现更好,而不是在山区.
土地覆盖分类实验表明,利用完整的数据立方体 (包括DTM,Landsat和Sentinel-2) 产生了最高的分类准确性.

结论:

开发的欧洲数据立方体显著提高了用于时空机器学习的卫星和地形数据的可访问性和可用性.
根据CC-BY许可证提供的综合数据集支持广泛的环境研究和监测应用.
生态数据立方体平台为研究人员提供了宝贵的资源,提供开放的植被,土壤和土地使用/土地覆盖 (LULC) 地图,以及核心数据立方体.

关键词:

准备好分析的数据.数据立方体数据立方体数字地形模型是数字地形模型.这是一个生态数据立方体 (EcoDataCube).高度的升高情况.填补差距填补差距填补差距土地覆盖面土地覆盖面陆地卫星 (Landsat) 是一个地球卫星.卢卡斯卢卡斯卢卡斯卢卡斯卢卡斯哨兵-2 卫星 - 卫星-2 哨兵-2 卫星

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