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利用两种独立的地面传感器验证温带落叶林站点的 MODIS 和 Sentinel-2 NDVI 产品。

Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors.

机构信息

Department Computational Landscape Ecology, Helmholtz-Centre for Environmental Research-UFZ, Permoserstr. 15, 04318 Leipzig, Germany.

Department Computational Hydrosystems, Helmholtz-Centre for Environmental Research-UFZ, Permoserstr. 15, 04318 Leipzig, Germany.

出版信息

Sensors (Basel). 2017 Aug 11;17(8):1855. doi: 10.3390/s17081855.

DOI:10.3390/s17081855
PMID:28800065
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5579479/
Abstract

Quantifying the accuracy of remote sensing products is a timely endeavor given the rapid increase in Earth observation missions. A validation site for Sentinel-2 products was hence established in central Germany. Automatic multispectral and hyperspectral sensor systems were installed in parallel with an existing eddy covariance flux tower, providing spectral information of the vegetation present at high temporal resolution. Normalized Difference Vegetation Index (NDVI) values from ground-based hyperspectral and multispectral sensors were compared with NDVI products derived from Sentinel-2A and Moderate-resolution Imaging Spectroradiometer (MODIS). The influence of different spatial and temporal resolutions was assessed. High correlations and similar phenological patterns between in situ and satellite-based NDVI time series demonstrated the reliability of satellite-based phenological metrics. Sentinel-2-derived metrics showed better agreement with in situ measurements than MODIS-derived metrics. Dynamic filtering with the best index slope extraction algorithm was nevertheless beneficial for Sentinel-2 NDVI time series despite the availability of quality information from the atmospheric correction procedure.

摘要

鉴于地球观测任务的快速增加，对遥感产品的准确性进行量化是一项及时的工作。因此，在德国中部建立了一个 Sentinel-2 产品的验证站点。自动多光谱和高光谱传感器系统与现有的涡度协方差通量塔并行安装，以高时间分辨率提供植被的光谱信息。地面高光谱和多光谱传感器的归一化差异植被指数 (NDVI) 值与 Sentinel-2A 和中等分辨率成像光谱仪 (MODIS) 衍生的 NDVI 产品进行了比较。评估了不同空间和时间分辨率的影响。现场和基于卫星的 NDVI 时间序列之间的高度相关性和相似的物候模式表明，基于卫星的物候指标具有可靠性。与 MODIS 衍生的指标相比，Sentinel-2 衍生的指标与现场测量值更吻合。尽管大气校正过程提供了质量信息，但使用最佳指数斜率提取算法进行动态过滤对 Sentinel-2 NDVI 时间序列仍然是有益的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/5579479/dacf28bebbbf/sensors-17-01855-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/5579479/48cd3087953d/sensors-17-01855-g005.jpg
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