气候变化领域集成服务门户(CCPortal): Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data

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DOI	10.1016/j.jag.2018.11.007
	Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data
	Fikriyah V.N.; Darvishzadeh R.; Laborte A.; Khan N.I.; Nelson A.
发表日期	2019
ISSN	15698432
起始页码	143
结束页码	153
卷号	76
英文摘要	Improved rice crop and water management practices that make the sustainable use of resources more efficient are important interventions towards a more food secure future. A remote sensing-based detection of different rice crop management practices, such as crop establishment method (transplanting or direct seeding), can provide timely and cost-effective information on which practices are used as well as their spread and change over time as different management practices are adopted. Establishment method cannot be easily observed since it is a rapid event, but it can be inferred from resulting observable differences in land surface characteristics (i.e. field condition) and crop development (i.e. delayed or prolonged stages) that take place over a longer time. To examine this, we used temporal information from Synthetic Aperture Radar (SAR) backscatter to detect differences in field condition and rice growth, then related those to crop establishment practices in Nueva Ecija (Philippines). Specifically, multi-temporal, dual-polarised, C-band backscatter data at 20m spatial resolution was acquired from Sentinel-1A every 12 days over the study area during the dry season, from November 2016 to May 2017. Farmer surveys and field observations were conducted in four selected municipalities across the study area in 2017, providing information on field boundaries and crop management practices for 61 fields. Mean backscatter values were generated per rice field per SAR acquisition date. We matched the SAR acquisition dates with the reported dates for land management activities and with the estimated dates for when the crop growth stages occurred. The Mann-Whitney U test was used to identify significant differences in backscatter between the two practices during the land management activities and crop growth stages. Significant differences in cross-polarised, co-polarised and band ratio backscatter values were observed in the early growing season, specifically during land preparation, crop establishment, rice tillering and stem elongation. These findings indicate the possibility to discriminate crop establishment methods by SAR at those stages, suggesting that there is more opportunity for discrimination than has been presented in previous studies. Further testing in a wider range of environments, seasons, and management practices should be done to determine how reliably rice establishment methods can be detected. The increased use of dry and wet direct seeding has implications for many remote sensing-based rice detection methods that rely on a strong water signal (typical of transplanting) during the early season. © 2018 Elsevier B.V.
英文关键词	Direct seeding; Philippines; Rice; SAR; Sentinel-1; Transplanting
语种	英语
scopus关键词	agricultural development; backscatter; crop production; detection method; rice; satellite data; Sentinel; spatial resolution; synthetic aperture radar; Central Luzon; Nueva Ecija; Philippines
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/156517
作者单位	Faculty of Geo-Information and Earth Observation (ITC), University of Twente, Enschede, AE 7500, Netherlands; International Rice Research Institute, DAPO Box 7777, Metro Manila, 1301, Philippines
推荐引用方式 GB/T 7714	Fikriyah V.N.,Darvishzadeh R.,Laborte A.,et al. Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data[J],2019,76.
APA	Fikriyah V.N.,Darvishzadeh R.,Laborte A.,Khan N.I.,&Nelson A..(2019).Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data.International Journal of Applied Earth Observation and Geoinformation,76.
MLA	Fikriyah V.N.,et al."Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data".International Journal of Applied Earth Observation and Geoinformation 76(2019).