Innovate UK - SHiFT: Sentinel 2 -compatible Historical datasets for Future crop Targeting

GSTDTAP

项目编号	NE/P008836/1
	Innovate UK - SHiFT: Sentinel 2 -compatible Historical datasets for Future crop Targeting
	[unavailable]
主持机构	University of Nottingham
项目开始年	2016
	2016-10-01
项目结束日期	2017-09-30
资助机构	UK-NERC
项目类别	Research Grant
国家	英国
语种	英语
英文摘要	The project will investigate the use of archive satellite imagery to predict spatial variability within arable fields. Many applications of precision agriculture use current satellite imagery to provide guidance on localised management operations, for example application of Nitrogen fertiliser, but assumptions have to be made about the causes of spatial variation. A 20-year archive of satellite image data will be used to develop potential productivity maps, derived from vegetation indices, to assess the degree of persistence of spatial patterns over years and their dependence on weather and cropping factors. Maps of potential yield variation and other interpretive tools will allow more intelligent, context-based assessments that are expected to lead to improved land management with both economic and environmental benefits. The project is being conducted by a consortium led by SOYL, together with ADAS, RSAC, AHDB and the University of Nottingham.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/86339
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	[unavailable].Innovate UK - SHiFT: Sentinel 2 -compatible Historical datasets for Future crop Targeting.2016.