气候变化领域集成服务门户(CCPortal): Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery

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DOI	10.1016/j.jag.2020.102139
	Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery
	Fan X.; Vrieling A.; Muller B.; Nelson A.
发表日期	2020
ISSN	15698432
卷号	91
英文摘要	Planting a cover crop between the main cropping seasons is an agricultural management measure with multiple potential benefits for sustainable food production. In the maize production system of the Netherlands, an effective establishment of a winter cover crop is important for reducing nitrogen leaching to groundwater. Cover crop establishment after maize cultivation is obliged by law for sandy soils and consequently implemented on nearly all maize fields, but the winter-time vegetative ground cover varies significantly between fields. The objectives of this study are to assess the variability in winter vegetative cover and evaluate to what extent this variability can be explained by the timing of cover crop establishment and weather conditions in two growing seasons (2017–2018). We used Sentinel-2 satellite imagery to construct NDVI time series for fields known to be cultivated with maize within the province of Overijssel. We fitted piecewise logistic functions to the time series in order to estimate cover crop sowing date and retrieve the fitted NDVI value for 1 December (NDVIDec). We used NDVIDec to represent the quality of cover crop establishment at the start of the winter season. The Sentinel-2 estimated sowing dates compared reasonably with ground reference data for eight fields (RMSE = 6.6 days). The two analysed years differed considerably, with 2018 being much drier and warmer during summer. This drought resulted in an earlier estimated cover crop sowing date (on average 19 days) and an NDVIDec value that was 0.2 higher than in 2017. Combining both years and all fields, we found that Sentinel-2 retrieved sowing dates could explain 55% of the NDVIDec variability. This corresponded to a positive relationship (R2 = 0.50) between NDVIDec and the cumulative growing degree days (GDD) between sowing date and 1 December until reaching 400 GDD. Based on cumulative GDD derived from two weather stations within Overijssel, we found that on average for the past three decades a sowing date of 19 September (± 7 days) allowed to attain these 400 GDD; this provides support for the current legislation that states that from 2019 onwards a cover crop should be sown before 1 October. To meet this deadline, while simultaneously ascertaining a harvest-ready main crop, in practice implies that undersowing of the cover crop during spring will gain importance. Our results show that Sentinel-2 NDVI time series can assess the effectiveness and timing of cover crop growth for small agricultural fields, and as such has potential to inform regulatory frameworks as well as farmers with actionable information that may help to reduce nitrogen leaching. © 2020 The Authors
英文关键词	Catch crop; Growing degree days; NDVI time series; Phenological analysis; Sentinel-2; Sowing time; Sustainable agriculture; Temperature
语种	英语
scopus关键词	alternative agriculture; cover crop; growing season; maize; NDVI; phenology; satellite imagery; Sentinel; sowing; temperature effect; time series analysis; winter; Netherlands; Overijssel; Zea mays
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156424
作者单位	Faculty of Geo-information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede, 7500 AE, Netherlands; Agro Accént, Project Management and Consultancy, Ruwerdweg 4, Welsum, 8196 KV, Netherlands
推荐引用方式 GB/T 7714	Fan X.,Vrieling A.,Muller B.,et al. Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery[J],2020,91.
APA	Fan X.,Vrieling A.,Muller B.,&Nelson A..(2020).Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery.International Journal of Applied Earth Observation and Geoinformation,91.
MLA	Fan X.,et al."Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery".International Journal of Applied Earth Observation and Geoinformation 91(2020).