干旱区生态环境知识资源中心(Arid): Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change

Arid

DOI	10.3390/rs13112049
	Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change
	Shiff, Shilo; Lensky, Itamar M.; Bonfil, David J.
通讯作者	Lensky, IM (corresponding author), Bar Ilan Univ, Dept Geog & Environm, IL-5290002 Ramat Gan, Israel.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:11
英文摘要	Climatic conditions during the grain-filling period are a major factor affecting wheat grain yield and quality. Wheat in many semi-arid and arid areas faces high-temperature stress during this period. Remote sensing can be used to monitor both crops and environmental temperature. The objective of this study was to develop a tool to optimize field management (cultivar and sowing time). Analysis of 155 cultivar experiments (from 10 growth seasons) representing different environmental conditions revealed the required degree-days for each Israeli spring wheat cultivar to reach heading (from emergence). We developed a Google Earth Engine (GEE) app to analyze time series of gap-filled 1 km MODIS land surface temperature (LSTcont). By changing the cultivar and/or emergence date in the GEE app, the farmer can expose each wheat field to different climatic conditions during the grain-filling period, thereafter enabling him to choose the best cultivar to be sown in the field with the right timing. This approach is expected to reduce the number of fields that suffer from heat stress during the grain-filling period. The app can be also used to assess the effects of different global warming scenarios and to plan adaptation strategies in other regions too.
英文关键词	wheat yield climate change optimize MODIS LST Google Earth Engine
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000660604300001
WOS关键词	TEMPERATURE ; MODEL ; SEASON
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351532
作者单位	[Shiff, Shilo; Lensky, Itamar M.] Bar Ilan Univ, Dept Geog & Environm, IL-5290002 Ramat Gan, Israel; [Bonfil, David J.] Agr Res Org, Gilat Res Ctr, Dept Vegetable & Field Crop Res, IL-8531100 Gilat, Israel
推荐引用方式 GB/T 7714	Shiff, Shilo,Lensky, Itamar M.,Bonfil, David J.. Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change[J],2021,13(11).
APA	Shiff, Shilo,Lensky, Itamar M.,&Bonfil, David J..(2021).Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change.REMOTE SENSING,13(11).
MLA	Shiff, Shilo,et al."Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change".REMOTE SENSING 13.11(2021).