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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China
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Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China

机译:验证中国东北地区农田农田的全球中等分辨率叶面积指数(LAI)产品

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摘要

Over the last decade, a series of global moderate resolution leaf area index (LAI) products have become available and been widely applied in many disciplines. At the same time, there is an increasing demand for the uncertainties associated with these products, which has to be determined through rigorous validation studies. This study validated seven global LAI products - EPS, GEOV2, GLASS, GLOBMAP, MODIS, PROBA-V, and VIIRS - over typical agricultural croplands in northeastern China. Seasonal continuous LAI measurements were obtained from field campaigns in paddy rice fields in 2012 and 2013, and in maize, soybean, and sorghum fields in 2016. High resolution reference LAI maps were first derived from HJ-1, Landsat 7, and Sentinel-2A images with the look-up table (LUT) inversion method and were evaluated with the field measured LAI (R-2 = 0.85 and RMSE = 0.66). Subsequently, the moderate resolution LAI products were validated with the upscaled high resolution reference LAI.
机译:在过去十年中,一系列全球中等分辨率叶面积指数(LAI)产品已获得,并广泛应用于许多学科。 与此同时,对与这些产品相关的不确定性的需求越来越大,这必须通过严格的验证研究来确定。 本研究经过验证了七种全球赖产品 - EPS,Geov2,玻璃,GlobMap,Modis,Proba-V和Viirs - 在中国东北部的典型农业农作物。 2012年和2013年的水稻领域的野外活动获得了季节性连续赖测量,以及2016年玉米,大豆和高粱田地。最早从HJ-1,Landsat 7和Sentinel-2a获得高分辨率参考Lai地图 使用查找表(LUT)反演方法的图像,并用现场测量LAI(R-2 = 0.85和RMSE = 0.66)进行评估。 随后,用升高的高分辨率参考Lai验证了中等分辨率Lai产品。

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