Evapotranspiration analysis based on topography algorithm in the Yellow River Delta
Ning, Jicai(1); Gao, Zhiqiang(1,2); Shi, Runhe(2); Gao, Wei(2); Gao, Z. ([email protected])
会议主办者The Society of Photo-Optical Instrumentation Engineers (SPIE)
2013
会议名称Remote Sensing and Modeling of Ecosystems for Sustainability X
卷号8869
会议日期August 26, 2013 - August 29, 2013
会议地点San Diego, CA, United states
ISSN号0277-786X
ISBN号9780819497192
产权排序(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China ; (2) USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, United States
关键词Evapotranspiration Actual Evapotranspiration High Resolution Satellite Data Landsat Tm Meteorological Information Regional Evapotranspiration Sebal Model Thermal Infrared Remote Sensing Yellow River Delta
摘要A remote sensing regional evapotranspiration (ET) model was built on the basis of topography correction (slope, aspect and elevation), herein. A variety of satellite data which have visible, near-infrared and thermal infrared remote sensing data can be used by this improved model. Combined with conventional ground meteorological information, it can estimate regional distribution of ET under different climate and terrain conditions, expanding the scope of application. Taking into account the terrain factors, we modified the algorithm of SEBAL model. Results showed that, the modified inversion method of evapotranspiration can better reflect actual evapotranspiration condition. Evapotranspiration changes were consistent with land use types. This research indicates that application of medium or high resolution satellite data to calculate regional ET under undulating landform should consider the impact of terrain. It improves the accuracy of ET estimates and has important reference value for the work of the regional water balance and regional agricultural climate research. © Copyright 2013 SPIE.
作者部门海岸带信息集成与综合管理实验室
DOI10.1117/12.2021561
收录类别EI
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.yic.ac.cn/handle/133337/8816
专题中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
通讯作者Gao, Z. ([email protected])
推荐引用方式
GB/T 7714
Ning, Jicai,Gao, Zhiqiang,Shi, Runhe,et al. Evapotranspiration analysis based on topography algorithm in the Yellow River Delta[C]:SPIE,2013.
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