基于GF-5B VIMI数据和SEBS模型的区域蒸散发遥感估算研究  

Study on Remote Sensing Estimation of Regional Evapotranspiration Based on GF-5B VIMI Data and the SEBS Model

作　　者：张丽娟 丁海勇 郑超 林佳余 殷凌锋 ZHANG Lijuan;DING Haiyong;ZHENG Chao;LIN Jiayu;YIN Lingfeng(School of Remote Sensing and Surveying and Mapping Engineering,Nanjing University of Information Engineering,Nanjing 211500,China)

机构地区：[1]南京信息工程大学遥感与测绘工程学院,南京211500

出　　处：《航天返回与遥感》2024年第5期101-111,共11页Spacecraft Recovery & Remote Sensing

基　　金：高分辨率对地观测系统重大专项(30-Y60B01-9003-22/23)。

摘　　要：蒸散发是全球水循环的关键部分,对水循环和能量平衡有显著影响。然而现有的蒸散发数据显示出其在时空分辨率上的局限性。为了解决这一问题,文章采用了结合“高分五号”B卫星全谱段光谱成像仪(GF-5B VIMI)高分辨率数据与SEBS模型的新方法。选择重庆市大渡口区作为研究区域,利用GF-5B VIMI影像数据和ERA5-land气候再分析数据集,对该区域的日蒸散发量进行估算,并分析其时空分布特征及不同下垫面的蒸散量。同时,探讨了蒸散发量与归一化植被指数NDVI之间的相关性。实验结果表明,SEBS模型估算结果与涡度相关仪观测数据具有良好的一致性,表现在决定系数R^(2)为0.764,均方根误差RMSE为0.348 mm/d。不同土地利用类型的日蒸散量中,水体蒸散量最大,裸地最小。日蒸散量与归一化植被指数之间的拟合相关系数R为0.908,决定系数R^(2)为0.824,这进一步验证了模型的有效性和适用性。该方法有效提高蒸散发的时空分辨率并为水资源的高效利用提供重要科学依据。Evapotranspiration is a key component of the global water cycle and significantly impacts water cycling and energy balance.However,existing evapotranspiration data exhibit limitations in their spatial and temporal resolution.To address this issue,this paper employs a new method that combines high-resolution GF-5B VIMI data with the SEBS model.The Dadukou District of Chongqing was selected as the study area.Using GF-5B VIMI imagery data and the ERA5-land climate reanalysis dataset,the daily evapotranspiration of the area was estimated,and its spatial and temporal distribution characteristics,as well as the evapotranspiration from different underlying surfaces,were analyzed.Additionally,the relationship between evapotranspiration and the Normalized Difference Vegetation Index(NDVI)was examined.Experimental results indicate that the estimates from the SEBS model are in good agreement with observations from eddy covariance systems,as evidenced by a determination coefficient(R^(2))of 0.764 and a root mean square error(RMSE)of 0.348 mm/d.Among the different land use types,water bodies showed the highest daily evapotranspiration rates,while bare lands showed the lowest.The correlation coefficient(R)between daily evapotranspiration and NDVI was 0.908,with a determination coefficient(R^(2))of 0.824,further validating the model's effectiveness and applicability.This approach significantly enhances the spatiotemporal resolution of evapotranspiration and offers critical scientific insights for the efficient management of water resources.

关 键 词：蒸散发 地表能量平衡系统 土地利用 遥感估算 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] V19[自动化与计算机技术—控制科学与工程]