| 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. (gaoland@gmail.com) | |
| 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 |
| DOI | 10.1117/12.2021561 |
| 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. (gaoland@gmail.com) |
| 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. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Evapotranspiration a（1655KB） | 开放获取 | CC BY-NC-SA | 浏览 下载 | |||
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