Concomitant flow and space variations of evapotranspiration due to changes in LUCC under seawater intrusion in a coastal region | |
Gao Zhiqiang | |
2013 | |
会议名称 | Remote Sensing and Modeling of Ecosystems for Sustainability X, August 26, 2013 - August 29, 2013 |
会议地点 | San Diego, CA, United states |
关键词 | Salt water intrusion Climate change Ecosystems Evapotranspiration Land use Remote sensing Space optics Spatial distribution Sustainable development Water supply |
英文摘要 | This paper provides a coherent pattern identification analysis of coastal land use and land cover (LULC) under the impact of seawater intrusion. This study analysis applied the 4-, 3-, and 2-band false color composite Landsat satellite data to characterize the LULC in the study area. The evapotranspiration (ET) and heat fluxes were estimated by using the SEBAL model with two-time phase thermal infrared band images and regional surface parameters. Our findings are as follows: 1) Due to its distance from the sea, the vegetation index gradually increases as the level of land use gradually increased. 2) The different influences of seawater intrusion in the study area resulted in significantly different influences of land surface parameters (LST, Gn, MSAVI, and Uindex) on ET. There are a variety of types of relational patterns between parameters (LST, Gn, MSAVI and Uindex) and ET (positive, negative, and no relationship). 3) Seawater intrusion significantly affected the spatial pattern of LUCC, which evidently affected the spatial distribution of ET. The spatial distribution pattern and change characteristics of ET were formed by double driving forces of seawater intrusion and LUCC under the background effects of regional climate. Copyright 2013 SPIE. |
收录类别 | EI |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X |
内容类型 | 会议论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/31011] |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Gao Zhiqiang. Concomitant flow and space variations of evapotranspiration due to changes in LUCC under seawater intrusion in a coastal region[C]. 见:Remote Sensing and Modeling of Ecosystems for Sustainability X, August 26, 2013 - August 29, 2013. San Diego, CA, United states. |
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