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Sensors 2017, 17(8), 1855; doi:10.3390/s17081855

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

1
Department Computational Landscape Ecology, Helmholtz-Centre for Environmental Research-UFZ, Permoserstr. 15, 04318 Leipzig, Germany
2
Department Computational Hydrosystems, Helmholtz-Centre for Environmental Research-UFZ, Permoserstr. 15, 04318 Leipzig, Germany
3
Leipzig University, Institute for Geography, Geoinformatics and Remote Sensing, Johannisallee 19a, 04103 Leipzig, Germany
4
INRA, Université de Lorraine, UMR1137 Ecologie et Ecophysiologie Forestière, 54280 Champenoux, France
*
Author to whom correspondence should be addressed.
Received: 1 June 2017 / Revised: 4 August 2017 / Accepted: 9 August 2017 / Published: 11 August 2017
(This article belongs to the Special Issue Multispectral and Hyperspectral Instrumentation)
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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. View Full-Text
Keywords: sensor; hyperspectral; multispectral; validation; site; automatic; measurements; vegetation; MODIS; Sentinel-2; phenology sensor; hyperspectral; multispectral; validation; site; automatic; measurements; vegetation; MODIS; Sentinel-2; phenology
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lange, M.; Dechant, B.; Rebmann, C.; Vohland, M.; Cuntz, M.; Doktor, D. Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors. Sensors 2017, 17, 1855.

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