干旱区生态环境知识资源中心(Arid): Detecting global irrigated areas by using satellite and reanalysis products

Arid

DOI	10.1016/j.scitotenv.2019.04.365
	Detecting global irrigated areas by using satellite and reanalysis products
	Zohaib, Muhammad 1; Kim, Hyunglok 2; Choi, Minha 1
通讯作者	Choi, Minha
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2019
卷号	677 页码:679-691
英文摘要	Despite the importance of irrigation in meeting the world's food demand and as an essential human modification to water and energy cycles, the reliable extent and distribution of the global irrigated areas remain undefined. In this study, an intuitive method is proposed, based on the aftereffects of irrigation, to detect global irrigated areas by combining satellite and reanalysis datasets. The proposed methodology assumes that irrigation is an unmodeled land surface process, while satellite observations can effectively detect irrigation signals in near real-time. The spatial extents of irrigation were derived by calculating the difference between the remotely sensed and reanalysis datasets. To detect the irrigated areas, three irrigation-dependent variables, soil moisture (SM), land surface temperature (LST), and surface albedo (A(L)), were used. In the absence of reliable ground truths, the proposed irrigation map was compared to the commonly used global irrigation maps, namely Global Map of Irrigated areas, Global Irrigated Area Map, and recently developed Global Irrigated Areas by Meier et al. (2018). Individual detection by SM, LST, and A(L) has disarpandes in detecting irrigation signals in highly irrigated, urbanized, and semi-arid regions. However, by combining the individual detection maps, the proposed method showed reasonable agreement with the reference irrigated maps overlapping with approximately 70% of the irrigated areas. We believe that the proposed method, as stand-alone or in combination with the existing irrigation maps, will benefit the studies regarding water and energy balance closure in near-real time for large-scale land surface models by minimizing the uncertainties in model parameterization. (C) 2019 Elsevier B.V. All rights reserved.
英文关键词	Soil moisture Remote sensing Land surface modeling Human alteration Land-atmosphere interaction, Irrigation Irrigation
类型	Article
语种	英语
国家	South Korea ; USA
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000468191200064
WOS关键词	SOIL-MOISTURE RETRIEVALS ; SKIN TEMPERATURE ; WATER-RESOURCES ; SURFACE ALBEDO ; CLIMATE-CHANGE ; MODEL ; PRECIPITATION ; ASSIMILATION ; TRENDS ; MODIS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218698
作者单位	1.Sungkyunkwan Univ, Grad Sch Water Resources, Environm & Remote Sensing Lab, Suwon 440746, Gyeonggi Do, South Korea; 2.Univ Virginia, Dept Engn Syst & Environm, Charlottesville, VA 22904 USA
推荐引用方式 GB/T 7714	Zohaib, Muhammad,Kim, Hyunglok,Choi, Minha. Detecting global irrigated areas by using satellite and reanalysis products[J],2019,677:679-691.
APA	Zohaib, Muhammad,Kim, Hyunglok,&Choi, Minha.(2019).Detecting global irrigated areas by using satellite and reanalysis products.SCIENCE OF THE TOTAL ENVIRONMENT,677,679-691.
MLA	Zohaib, Muhammad,et al."Detecting global irrigated areas by using satellite and reanalysis products".SCIENCE OF THE TOTAL ENVIRONMENT 677(2019):679-691.