气候变化领域集成服务门户(CCPortal): A global approach to estimate irrigated areas - A comparison between different data and statistics

CCPortal

DOI	10.5194/hess-22-1119-2018
	A global approach to estimate irrigated areas - A comparison between different data and statistics
	Meier J.; Zabel F.; Mauser W.
发表日期	2018
ISSN	1027-5606
起始页码	1119
结束页码	1133
卷号	22 期号:2
英文摘要	Agriculture is the largest global consumer of water. Irrigated areas constitute 40'% of the total area used for agricultural production (FAO, 2014a) Information on their spatial distribution is highly relevant for regional water management and food security. Spatial information on irrigation is highly important for policy and decision makers, who are facing the transition towards more efficient sustainable agriculture. However, the mapping of irrigated areas still represents a challenge for land use classifications, and existing global data sets differ strongly in their results. The following study tests an existing irrigation map based on statistics and extends the irrigated area using ancillary data. The approach processes and analyzes multi-temporal normalized difference vegetation index (NDVI) SPOT-VGT data and agricultural suitability data – both at a spatial resolution of 30'arcsec – incrementally in a multiple decision tree. It covers the period from 1999 to 2012. The results globally show a 18'% larger irrigated area than existing approaches based on statistical data. The largest differences compared to the official national statistics are found in Asia and particularly in China and India. The additional areas are mainly identified within already known irrigated regions where irrigation is more dense than previously estimated. The validation with global and regional products shows the large divergence of existing data sets with respect to size and distribution of irrigated areas caused by spatial resolution, the considered time period and the input data and assumption made. © Author(s) 2018.
语种	英语
scopus关键词	Agriculture; Classification (of information); Decision making; Decision trees; Food supply; Image resolution; Irrigation; Land use; Vegetation; Water management; Agricultural productions; Landuse classifications; National statistics; Normalized difference vegetation index; Spatial informations; Spatial resolution; Statistical datas; Sustainable agriculture; Trees (mathematics); agricultural production; alternative agriculture; comparative study; data set; estimation method; food security; irrigation system; land use; NDVI; satellite data; spatial distribution; spatial resolution; SPOT; statistical analysis; water management; China; India
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160123
作者单位	Meier, J., Department of Geography, Ludwig Maximilians University, Munich, 80333, Germany; Zabel, F., Department of Geography, Ludwig Maximilians University, Munich, 80333, Germany; Mauser, W., Department of Geography, Ludwig Maximilians University, Munich, 80333, Germany
推荐引用方式 GB/T 7714	Meier J.,Zabel F.,Mauser W.. A global approach to estimate irrigated areas - A comparison between different data and statistics[J],2018,22(2).
APA	Meier J.,Zabel F.,&Mauser W..(2018).A global approach to estimate irrigated areas - A comparison between different data and statistics.Hydrology and Earth System Sciences,22(2).
MLA	Meier J.,et al."A global approach to estimate irrigated areas - A comparison between different data and statistics".Hydrology and Earth System Sciences 22.2(2018).