Winter Wheat Yield Assessment Using Landsat 8 and Sentinel-2 Data
Winter Wheat Yield Assessment Using Landsat 8 and Sentinel-2 Data
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DOI：
10.1109/igarss.2018.8519134
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
S. Skakun;B. Franch;E. Vermote;J. Roger;C. Justice;J. Masek;Emilie Murphy
中科院分区：
文献类型：
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作者：
S. Skakun;B. Franch;E. Vermote;J. Roger;C. Justice;J. Masek;Emilie Murphy
With availability of images acquired by NASA/USGS Landsat 8 and European Copernicus Sentinel-2 remote sensing satellites, it becomes possible to provide a global coverage of Earth's surface every 3–5 days. Such high temporal resolution is a prerequisite for developing next generation products at moderate spatial resolution (10–30 m). This is especially important for applications, involving agricultural monitoring. This paper explores a combined use of Landsat 8 and Sentinel-2 data to winter wheat yield assessment at regional scale. We take advantage of the NASA's Harmonized Landsat and Sentinel-2 (HLS) product, which provides a seamless unified product from different sensors aboard both satellites. Multiple features are evaluated through correlation with winter wheat yield values with normalized difference vegetation index (NDVI) serving as a benchmark. We show that, when using Landsat 8 and Sentinel-2 data together, the error of winter wheat yield estimates can be reduced up to 1.8 times, compared to using a single satellite.
