气候变化领域集成服务门户(CCPortal): Sentinel-1 time series data for monitoring the phenology of winter wheat

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DOI	10.1016/j.rse.2020.111814
	Sentinel-1 time series data for monitoring the phenology of winter wheat
	Schlund M.; Erasmi S.
发表日期	2020
ISSN	00344257
卷号	246
英文摘要	The potential of time series metrics based on optical sensors for monitoring of crops and their phenological stages has long been recognized. SAR (synthetic aperture radar) sensors such as Sentinel-1 can provide dense time series, but their potential for retrieving time series metrics is to date underexplored. The backscatter coefficient in VH (vertical-horizontal) and VV (vertical-vertical) polarization as well as the interferometric coherence of Sentinel-1 was retrieved in a German agricultural area in order to obtain a time series with a temporal resolution of 6 days. The backscatter coefficient ratio of VH and VV polarization was also calculated. Local extrema and breakpoints were detected in the locally smoothed time series data in wheat fields for the years 2017, 2018 and 2019. Breakpoints in the VH/VV ratio time series have high potential for detecting the date of shooting and harvesting of the studied wheat fields. The root mean squared differences between detected date and in situ observed date were 4.6 days in 2017, 5.3 days in 2018 and 9.5 days in 2019 for the shooting and 5.1 days in 2017, 8.2 days in 2018 and 10.4 days in 2019 for the harvest. Ripeness stages could not be detected with a high degree of accuracy. The results suggest that the VH/VV ratio has a high potential for monitoring the phenological stages of wheat fields, which can be used for large-scale crop productivity monitoring and risk assessment in agricultural cropping systems. © 2020 Elsevier Inc.
英文关键词	Phenology; Sentinel-1; Synthetic aperture radar (SAR) data; Time series; Winter wheat
语种	英语
scopus关键词	Agricultural robots; Backscattering; Crops; Horizontal wells; Polarization; Risk assessment; Synthetic aperture radar; Agricultural areas; Backscatter coefficients; High degree of accuracy; Interferometric coherence; Phenological stage; Root mean squared; SAR(synthetic aperture radar); Temporal resolution; Time series; agricultural land; backscatter; cropping practice; phenology; satellite data; satellite sensor; Sentinel; synthetic aperture radar; wheat; winter; Germany; Triticum aestivum
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/179303
作者单位	Cartography, GIS & Remote Sensing Department, Institute of Geography, University of Göttingen, Goldschmidtstr. 5, Göttingen, 37077, Germany; Thünen-Institute of Farm Economics, Bundesallee 63, Braunschweig, 38116, Germany
推荐引用方式 GB/T 7714	Schlund M.,Erasmi S.. Sentinel-1 time series data for monitoring the phenology of winter wheat[J],2020,246.
APA	Schlund M.,&Erasmi S..(2020).Sentinel-1 time series data for monitoring the phenology of winter wheat.Remote Sensing of Environment,246.
MLA	Schlund M.,et al."Sentinel-1 time series data for monitoring the phenology of winter wheat".Remote Sensing of Environment 246(2020).