Time series evapotranspiration estimation based on MODIS/Terra satellite data over South Asia
Deng Wei; Zhao Wei; Li Ainong
2013-07
会议名称Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
会议日期21-26 July 2013
会议地点Melbourne, VIC
关键词SEBS Evapotranspiration MODIS Terra
页码473 - 476
通讯作者Li Ainong
英文摘要Recent years, the human activity and climate change greatly threaten the water resource security in South Asia. As an important parameter in land surface, evapotranspiration (ET) is essential to understand water cycle, estimate surface runoff and groundwater, and manage water resource. Satellite based ET derivation has been applied widely in many studies and become a popular way to estimate ET. In this study, time series ET in South Asia was derived with SEBS model with MODIS/Terra satellite data and field site observation data for the period March 2008-June 2008. Due to the lack of field flux observation, the derived ET was cross-validated by MOD16 ET product. The analysis results suggested that the proposed method was able to capture the reasonable spatial and temporal variation of ET more effectively than MOD16 product.
收录类别EI
会议主办者IEEE GRSS
会议网址http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D6721195%26userType%3Dmem&denyReason=-134&arnumber=6721195&productsMatched=null&userType=mem
会议录Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
学科主题摄影测量与遥感技术
语种英语
ISBN号978-1-4799-1114-1
内容类型会议论文
源URL[http://ir.imde.ac.cn/handle/131551/7435]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
成都山地灾害与环境研究所_山区发展研究中心
推荐引用方式
GB/T 7714
Deng Wei,Zhao Wei,Li Ainong. Time series evapotranspiration estimation based on MODIS/Terra satellite data over South Asia[C]. 见:Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International. Melbourne, VIC. 21-26 July 2013.http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D6721195%26userType%3Dmem&denyReason=-134&arnumber=6721195&productsMatched=null&userType=mem.
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