Time series evapotranspiration estimation based on MODIS/Terra satellite data over South Asia
文献类型:会议论文
作者 | Deng Wei![]() ![]() ![]() |
出版日期 | 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
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学科主题 | 摄影测量与遥感技术 |
语种 | 英语 |
ISBN号 | 978-1-4799-1114-1 |
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. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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