气候变化领域集成服务门户(CCPortal): Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine

CCPortal

DOI	10.1016/j.jag.2018.11.012
	Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine
	Franch B.; Vermote E.F.; Skakun S.; Roger J.C.; Becker-Reshef I.; Murphy E.; Justice C.
发表日期	2019
ISSN	15698432
起始页码	112
结束页码	127
卷号	76
英文摘要	Accurate and timely crop yield forecasts are critical for making informed agricultural policies and investments, as well as increasing market efficiency and stability. Earth observation data from space can contribute to agricultural monitoring, including crop yield assessment and forecasting. In this study, we present a new crop yield model based on the Difference Vegetation Index (DVI) extracted from Moderate Resolution Imaging Spectroradiometer (MODIS) data at 1 km resolution and the un-mixing of DVI at coarse resolution to a pure wheat signal (100% of wheat within the pixel). The model was applied to estimate the national and subnational winter wheat yield in the United States and Ukraine from 2001 to 2017. The model at the subnational level shows very good performance for both countries with a coefficient of determination higher than 0.7 and a root mean square error (RMSE) of lower than 0.6 t/ha (15–18%). At the national level for the United States (US) and Ukraine the model provides a strong coefficient of determination of 0.81 and 0.86, respectively, which demonstrates good performance at this scale. The model was also able to capture low winter wheat yields during years with extreme weather events, for example 2002 in US and 2003 in Ukraine. The RMSE of the model for the US at the national scale is 0.11 t/ha (3.7%) while for Ukraine it is 0.27 t/ha (8.4%). © 2018 Elsevier B.V.
英文关键词	DVI; Evaporative Fraction; MODIS; Yield model
语种	英语
scopus关键词	crop yield; modeling; MODIS; remote sensing; vegetation index; wheat; Ukraine; United States; Triticum aestivum
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/156515
作者单位	University of Maryland, Dept. of Geographical Sciences, United States; Terrestrial Information Systems Laboratory, NASA Goddard Space Flight Center, United States
推荐引用方式 GB/T 7714	Franch B.,Vermote E.F.,Skakun S.,et al. Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine[J],2019,76.
APA	Franch B..,Vermote E.F..,Skakun S..,Roger J.C..,Becker-Reshef I..,...&Justice C..(2019).Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine.International Journal of Applied Earth Observation and Geoinformation,76.
MLA	Franch B.,et al."Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine".International Journal of Applied Earth Observation and Geoinformation 76(2019).