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中国沙漠 ›› 2016, Vol. 36 ›› Issue (2): 508-514.DOI: 10.7522/j.issn.1000-694X.2015.00026

• 天气与气候 • 上一篇    下一篇

基于Landsat8与GEOEYE-1数据融合的天山北坡县域蒸散量计算——以呼图壁县为例

张圆1, 郑江华1, 刘志辉1,2, 姚俊强1   

  1. 1. 新疆大学资源与环境科学学院/绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046;<2r>2. 干旱与半干旱生态研究所, 新疆 乌鲁木齐 830046
  • 收稿日期:2014-11-04 修回日期:2015-01-14 出版日期:2016-03-20 发布日期:2016-03-20
  • 通讯作者: 郑江华,E-mail:zheng_jianghua@126.com
  • 作者简介:张圆(1990-)女,山西闻喜人,硕士研究生,主要从事水资源管理及GIS应用等研究。E-mail:zy13659958670@aliyun.com
  • 基金资助:
    水利部公益性行业科研专项(201301103);教育部促进与美大地区科研合作与高层次人才培养项目(117-40101)

Evapotranspiration Estimation at Hutubi County in Northern Slope of the TianShan Mountains Using Data Fusion of Geoeye-1 and Landsat 8

Zhang Yuan1, Zheng Jianghua1, Liu Zhihui1,2, Yao Junqiang1   

  1. 1. College of Resources and Environment Sciences/Key Laboratory of Oasis Ecology of MOE, Xinjiang University, Urumqi 830046, China;
    2. Institute of Arid Ecology and Environment, Xinjiang University, Urumqi 830046, China
  • Received:2014-11-04 Revised:2015-01-14 Online:2016-03-20 Published:2016-03-20

摘要: 基于Landsat 8与GEOEYE-1遥感数据,使用多尺度遥感方法,以新疆呼图壁县为例,利用SEBS模型计算天山北坡县域蒸散量,服务小流域和县域为管理单元的最严格水资源管理。针对军塘湖河流域耕地、呼图壁河流域耕地和北部荒漠-绿洲过渡带,应用2 m分辨率GEOEYE-1影像计算得NDVI和基于NDVI-TR法模拟的地表温度。将获得的地表温度和NDVI作为SEBS模型的重要参数计算地表蒸散量,采用自制小型蒸渗仪观测数据对估算结果进行评估。结果表明:在使用中分辨率影像Landsat 8估算地表蒸散量过程中加入GEOEYE-1反演的个别参数,大部分估算结果更加接近自制微型蒸渗仪测定值,估算绝对误差最大值出现在裸地,为28.5%,远低于使用Landsat 8影像的54.8%,说明高分影像的参与有助于提高模型估算效率。

关键词: SEBS模型, 干旱, 半干旱, 蒸散发, Landsat 8, GEOEYE-1

Abstract: Using the Landsat 8 data (30 m) and high resolution Geoeye-1 data (2 m), combined with multi scale remote sensing method to estimate evapotranspiration at Hutubi County in Northern Slope of the TianShan Mountains. In some areas such as arable land on Hutubi river basin, arable land on Juntanghu river basin and oasis-desert ecotone, we take Geoeye-1 remote sensing image to compute NDVI and land surface temperature then input them to the SEBS model. The significance of the study is the influence of data fusion on evapotranspiration calculation results with two kinds of sensor data. The results show that adding some parameters which come from Geoeye-1 make the estimated value closer to measured values which come from small lysimeter. The maximum absolute error appears in the bare ground in 28.5%, still below the 54.8% only using Landsat 8 data, indicating that participation of high resolution images helps to improve the efficiency of the model.

Key words: SEBS model, arid, semi-arid, evapotranspiration, Landsat 8, Geoeye-1