气候变化领域集成服务门户(CCPortal): Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2

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DOI	10.1016/j.rse.2020.112232
	Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2
	Meroni M.; d'Andrimont R.; Vrieling A.; Fasbender D.; Lemoine G.; Rembold F.; Seguini L.; Verhegghen A.
发表日期	2021
ISSN	00344257
卷号	253
英文摘要	The frequent acquisitions of fine spatial resolution imagery (10 m) offered by recent multispectral satellite missions, including Sentinel-2, can resolve single agricultural fields and thus provide crop-specific phenology metrics, a crucial information for crop monitoring. However, effective phenology retrieval may still be hampered by significant cloud cover. Synthetic aperture radar (SAR) observations are not restricted by weather conditions, and Sentinel-1 thus ensures more frequent observations of the land surface. However, these data have not been systematically exploited for phenology retrieval so far. In this study, we extracted crop-specific land surface phenology (LSP) from Sentinel-1 and Sentinel-2 of major European crops (common and durum wheat, barley, maize, oats, rape and turnip rape, sugar beet, sunflower, and dry pulses) using ground-truth information from the “Copernicus module” of the Land Use/Cover Area frame statistical Survey (LUCAS) of 2018. We consistently used a single model-fit approach to retrieve LSP metrics on temporal profiles of CR (Cross Ratio, the ratio of the backscattering coefficient VH/VV from Sentinel-1) and NDVI (Normalized Difference Vegetation Index from Sentinel-2). Our analysis revealed that LSP retrievals from Sentinel-1 are comparable to those of Sentinel-2, particularly for winter crops. The start of season (SOS) timings, as derived from Sentinel-1 and -2, are significantly correlated (average r of 0.78 for winter and 0.46 for summer crops). The correlation is lower for end of season retrievals (EOS, r of 0.62 and 0.34). Agreement between LSP derived from Sentinel-1 and -2 varies among crop types, ranging from r = 0.89 and mean absolute error MAE = 10 days (SOS of dry pulses) to r = 0.15 and MAE = 53 days (EOS of sugar beet). Observed deviations revealed that Sentinel-1 and -2 LSP retrievals can be complementary; for example for winter crops we found that SAR detected the start of the spring growth while multispectral data is sensitive to the vegetative growth before and during winter. To test if our results correspond reasonably to in-situ data, we compared average crop-specific LSP for Germany to average phenology from ground phenological observations of 2018 gathered from the German Meteorological Service (DWD). Our study demonstrated that both Sentinel-1 and -2 can provide relevant and at times complementary LSP information at field- and crop-level. © 2020 The Author(s)
英文关键词	Agriculture; Crop phenology; DWD ground phenological observations; Europe; Land surface phenology; LUCAS survey; Satellite image time series; Sentinel-1; Sentinel-2
语种	英语
scopus关键词	Agricultural robots; Backscattering; Biology; Land use; Radar imaging; Satellite imagery; Search engines; Sugar beets; Surface measurement; Synthetic aperture radar; Backscattering coefficients; Land surface phenology; Mean absolute error; Multi-spectral data; Normalized difference vegetation index; Phenological observations; Spatial resolution imagery; Start of seasons (SOS); Crops; backscatter; data acquisition; error analysis; image resolution; phenology; satellite data; satellite imagery; Sentinel; spatial resolution; synthetic aperture radar; Germany; Beta vulgaris subsp. vulgaris; Brassica rapa; Helianthus; Hordeum; Triticum turgidum subsp. durum
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179007
作者单位	European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, Ispra, VA I-21027, Italy; University of Twente, Faculty of Geo-information Science and Earth Observation, P.O. Box 217, Enschede, AE 7500, Netherlands
推荐引用方式 GB/T 7714	Meroni M.,d'Andrimont R.,Vrieling A.,et al. Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2[J],2021,253.
APA	Meroni M..,d'Andrimont R..,Vrieling A..,Fasbender D..,Lemoine G..,...&Verhegghen A..(2021).Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2.Remote Sensing of Environment,253.
MLA	Meroni M.,et al."Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2".Remote Sensing of Environment 253(2021).