气候变化领域集成服务门户(CCPortal): Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm

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DOI	10.1016/j.jag.2018.09.016
	Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm
	Busetto L.; Zwart S.J.; Boschetti M.
发表日期	2019
ISSN	15698432
起始页码	15
结束页码	28
卷号	75
英文摘要	In this study we used the PhenoRice algorithm to track recent variations of rice cultivation practices along the Senegal River Valley. Time series of MODIS imagery with 250 m spatial resolution and a nominal 8-days frequency were used as input for the algorithm to map the spatial and temporal variations of rice cultivated area and of several important phenological metrics (e.g., crop establishment and harvesting dates, length of season) for the 2003–2016 period in both the dry and the wet rice cultivation seasons. Comparison between PhenoRice results and ancillary and field data available for the Senegal part of the study area showed that the algorithm is able to track the interannual variations of rice cultivated area, despite the total detected rice area being consistently underestimated. PhenoRice estimates of crop establishment and harvesting dates resulted accurate when compared with field observations available for two sub-regions for a period of 10 years, and thus allow assessing interannual variability and tracking changes in agronomic practices. An analysis of interannual trends of rice growing practices based on PhenoRice results highlighted a clear shift of rice cultivation from the wet to the dry season starting approximately from 2008. The shift was found to be particularly evident in the delta part of the SRV. Additionally, a statistically significant trend was revealed starting 2006 towards a longer dry season (r 2 = 0.81; Slope = 1.24 days y −1 ) and a shorter wet season (r 2 = 0.65; Slope = 0.53 days y −1 ). These findings are in agreement with expert knowledge of changes ongoing in the area. In particular the shorter wet season is attributed to shortage of labor and equipment leading to a delay in completion of harvesting operations in the dry season, which led to the adoption of short-duration rice varieties by farmers in the wet season to avoid risk of yield losses due to climatic constraints. Aforementioned results highlight the usefulness of the PhenoRice algorithm for providing insights about recent variations in rice cultivation practices over large areas in developing countries, where high-quality up to date information about changes in agricultural practices are often lacking. © 2018 Elsevier B.V.
英文关键词	Agro-practices; Cropping intensity; MODIS; Phenology; PhenoRice; Rice; West Africa
语种	英语
scopus关键词	agronomy; algorithm; cropping practice; MODIS; phenology; rice; spatiotemporal analysis; time series analysis; Senegal
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/156535
作者单位	Institute for Electromagnetic Sensing of the Environment, Italian National Research Council (CNR-IREA), Via Bassini 15, Milan, 20133, Italy; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands; Africa Rice Center (AfricaRice), Cotonou, Benin
推荐引用方式 GB/T 7714	Busetto L.,Zwart S.J.,Boschetti M.. Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm[J],2019,75.
APA	Busetto L.,Zwart S.J.,&Boschetti M..(2019).Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm.International Journal of Applied Earth Observation and Geoinformation,75.
MLA	Busetto L.,et al."Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm".International Journal of Applied Earth Observation and Geoinformation 75(2019).