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应用MODIS数据推估区域地表蒸散
引用本文:刘朝顺,高炜,高志强.应用MODIS数据推估区域地表蒸散[J].水科学进展,2009,20(6):782-788.
作者姓名:刘朝顺  高炜  高志强
作者单位:1.华东师范大学中国科学院对地观测与数字地球科学中心环境遥感与数据同化联合实验室, 上海, 200062;
基金项目:国家重点基础研究发展计划(973)资助项目,"十一五"国家科技支撑计划资助项目,上海市自然科学基金资助项目,上海市晨光计划资助项目 
摘    要:通过"热增强"方法,充分利用MODIS数据的时间分辨率和空间分辨率的优势,基于对SEBAL模型改进的基础上,反演并验证了山东省的地表蒸散。结果表明,蒸散反演结果与实测值具有很好的一致性,日平均相对误差约为-11.34%。同时分析了研究区2005年和2006年不同土地利用/覆盖类型下蒸散的逐月变化规律,发现水域的月平均蒸散量最大,其次为水田,林地、旱田和草地基本相当,人工用地的月平均蒸散量最小。

关 键 词:蒸散    MODIS    土地利用/覆盖    SEBAL模型    水资源
收稿时间:2008-10-07

Estimation of regional surface evapotranspiration using MODIS Products
Institution:1.Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai 200062, China;2.Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China;3.Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523 USA;4.Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Abstract:The idea of the spatial local similarity is introduced to improve the thermal enhance method for fully using the advantages of the temporal and spatial resolutions of MODIS data. Based on the modified Surface Energy Balance Algorithm for Land (SEBAL) model and MODIS products, the retrieval and the verification of the regional surface evapotranspiration(ET_0) in Shandong Province show that the simulation results of the remote sensing model are in good agreement with those in situ observation, and the mean daily relative errors are about -11.34%. The monthly changes of ET_0 in different land use and land cover (LULC) types in 2005 and 2006 are analyzed. It is found that the monthly average ET_0 is highest in water areas, followed by paddy fields. A similar ET_0 variation is found over woodlands, dry lands and grasslands. The ET_0 minimum is obtained on urban lands.
Keywords:MODIS  Evapotranspiration  MODIS  land use and land cover (LULC)  SEBAL model  water resources
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