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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MDPI AG
2021-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/22/4529 |
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| 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 |
| collection | DOAJ |
| 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. |
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| id | doaj.art-dc81e86988be4bd0a5fde80cc66407c6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:06:30Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-dc81e86988be4bd0a5fde80cc66407c62023-11-23T01:18:50ZengMDPI AGRemote Sensing2072-42922021-11-011322452910.3390/rs13224529Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize CropsHuinan Yu0Gaofei Yin1Guoxiang Liu2Yuanxin Ye3Yonghua Qu4Baodong Xu5Aleixandre Verger6Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, ChinaMacro Agriculture Research Institute, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, ChinaCREAF, Campus de Bellaterra, 08193 Cerdanyola del Vallès, SpainWe 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.https://www.mdpi.com/2072-4292/13/22/4529leaf area indexvalidationmulti-resolution satellite productstime seriesSentinel-2multi-temporal ground data |
| spellingShingle | 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 Remote Sensing leaf area index validation multi-resolution satellite products time series Sentinel-2 multi-temporal ground data |
| title | 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_short | 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 |
| topic | leaf area index validation multi-resolution satellite products time series Sentinel-2 multi-temporal ground data |
| url | https://www.mdpi.com/2072-4292/13/22/4529 |
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