论文标题
Landsat反射时间序列的插值和差距填充
Interpolation and Gap Filling of Landsat Reflectance Time Series
论文作者
论文摘要
有限的空间，光谱或时间分辨率有限地阻碍了源自单光谱传感器的产品。图像融合通常尤其是降压/混合允许组合不同的多解决数据集。我们在这里提出了一种最佳的插值方法，以生成Landsat反射数据的平滑且无差距的时间序列。我们使用Google Earth Engine（GEE）平台在全球范围内融合MODIS（中分辨率成像光谱计）和Landsat数据。最佳的插值器利用GEE能力摄入大量数据（Landsat气候），并使用简单的线性操作来轻松在云中扩展。该方法在实践中表现出非常好的结果，在五个具有不同植被类型和气候特征的地点进行了测试。
Products derived from a single multispectral sensor are hampered by a limited spatial, spectral or temporal resolutions. Image fusion in general and downscaling/blending in particular allow to combine different multiresolution datasets. We present here an optimal interpolation approach to generate smoothed and gap-free time series of Landsat reflectance data. We fuse MODIS (moderate-resolution imaging spectroradiometer) and Landsat data globally using the Google Earth Engine (GEE) platform. The optimal interpolator exploits GEE ability to ingest large amounts of data (Landsat climatologies) and uses simple linear operations that scale easily in the cloud. The approach shows very good results in practice, as tested over five sites with different vegetation types and climatic characteristics in the contiguous US.
