Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops

We proposed a direct approach to validate hectometric and kilometric resolution leaf area index (LAI) products that involved the scaling up of field-measured LAI via the validation and recalibration of the decametric Sentinel-2 LAI product. We applied it over a test study area of maize crops in nort...

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Autores principales:	Huinan Yu, Gaofei Yin, Guoxiang Liu, Yuanxin Ye, Yonghua Qu, Baodong Xu, Aleixandre Verger
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	leaf area index validation multi-resolution satellite products time series Sentinel-2 multi-temporal ground data Science Q
Acceso en línea:	https://doaj.org/article/dc81e86988be4bd0a5fde80cc66407c6
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spelling	oai:doaj.org-article:dc81e86988be4bd0a5fde80cc66407c62021-11-25T18:53:59ZValidation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops10.3390/rs132245292072-4292https://doaj.org/article/dc81e86988be4bd0a5fde80cc66407c62021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4529https://doaj.org/toc/2072-4292We proposed a direct approach to validate hectometric and kilometric resolution leaf area index (LAI) products that involved the scaling up of field-measured LAI via the validation and recalibration of the decametric Sentinel-2 LAI product. We applied it over a test study area of maize crops in northern China using continuous field measurements of LAINet along the year 2019. Sentinel-2 LAI showed an overall accuracy of 0.67 in terms of Root Mean Square Error (<i>RMSE</i>) and it was used, after recalibration, as a benchmark to validate six coarse resolution LAI products: MODIS, Copernicus Global Land Service 1 km Version 2 (called GEOV2) and 300 m (GEOV3), Satellite Application Facility EUMETSAT Polar System (SAF EPS) 1.1 km, Global LAnd Surface Satellite (GLASS) 500 m and Copernicus Climate Change Service (C3S) 1 km V2. GEOV2, GEOV3 and MODIS showed a good agreement with reference LAI in terms of magnitude (<i>RMSE</i> ≤ 0.29) and phenology. SAF EPS (<i>RMSE</i> = 0.68) and C3S V2 (<i>RMSE</i> = 0.41), on the opposite, systematically underestimated high LAI values and showed systematic differences for phenological metrics: a delay of 6 days (d), 20 d and 24 d for the start, peak and the end of growing season, respectively, for SAF EPS and an advance of −4 d, −6 d and −6 d for C3S.Huinan YuGaofei YinGuoxiang LiuYuanxin YeYonghua QuBaodong XuAleixandre VergerMDPI AGarticleleaf area indexvalidationmulti-resolution satellite productstime seriesSentinel-2multi-temporal ground dataScienceQENRemote Sensing, Vol 13, Iss 4529, p 4529 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	leaf area index validation multi-resolution satellite products time series Sentinel-2 multi-temporal ground data Science Q
spellingShingle	leaf area index validation multi-resolution satellite products time series Sentinel-2 multi-temporal ground data Science Q Huinan Yu Gaofei Yin Guoxiang Liu Yuanxin Ye Yonghua Qu Baodong Xu Aleixandre Verger Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops
description	We proposed a direct approach to validate hectometric and kilometric resolution leaf area index (LAI) products that involved the scaling up of field-measured LAI via the validation and recalibration of the decametric Sentinel-2 LAI product. We applied it over a test study area of maize crops in northern China using continuous field measurements of LAINet along the year 2019. Sentinel-2 LAI showed an overall accuracy of 0.67 in terms of Root Mean Square Error (<i>RMSE</i>) and it was used, after recalibration, as a benchmark to validate six coarse resolution LAI products: MODIS, Copernicus Global Land Service 1 km Version 2 (called GEOV2) and 300 m (GEOV3), Satellite Application Facility EUMETSAT Polar System (SAF EPS) 1.1 km, Global LAnd Surface Satellite (GLASS) 500 m and Copernicus Climate Change Service (C3S) 1 km V2. GEOV2, GEOV3 and MODIS showed a good agreement with reference LAI in terms of magnitude (<i>RMSE</i> ≤ 0.29) and phenology. SAF EPS (<i>RMSE</i> = 0.68) and C3S V2 (<i>RMSE</i> = 0.41), on the opposite, systematically underestimated high LAI values and showed systematic differences for phenological metrics: a delay of 6 days (d), 20 d and 24 d for the start, peak and the end of growing season, respectively, for SAF EPS and an advance of −4 d, −6 d and −6 d for C3S.
format	article
author	Huinan Yu Gaofei Yin Guoxiang Liu Yuanxin Ye Yonghua Qu Baodong Xu Aleixandre Verger
author_facet	Huinan Yu Gaofei Yin Guoxiang Liu Yuanxin Ye Yonghua Qu Baodong Xu Aleixandre Verger
author_sort	Huinan Yu
title	Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops
title_short	Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops
title_full	Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops
title_fullStr	Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops
title_full_unstemmed	Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops
title_sort	validation of sentinel-2, modis, cgls, saf, glass and c3s leaf area index products in maize crops
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/dc81e86988be4bd0a5fde80cc66407c6
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Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops

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