| 基于地表温度-植被指数关系的地表温度降尺度方法研究 |
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| 引用本文： | 聂建亮,武建军,杨曦,刘明,张洁,周磊.基于地表温度-植被指数关系的地表温度降尺度方法研究[J].生态学报,2011,31(17):4961-4969. |
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| 作者姓名： | 聂建亮 武建军 杨曦 刘明 张洁 周磊 |
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| 作者单位： | 1. 北京师范大学地表过程与资源生态国家重点实验室,北京100875;民政部/教育部减灾与应急管理研究院,北京100875;北京师范大学资源学院,北京100875
2. 民政部/教育部减灾与应急管理研究院,北京,100875 |
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| 基金项目： | 国家863计划项目(2006AA12Z142,2006AA120108) |
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| 摘 要： | 地表温度(Land Surface Temperature, LST)在空间上和时间上均存在很大的差异性。而通过卫星遥感技术来监测地表温度存在着空间分辨率和时间分辨率上的矛盾:空间分辨率高的卫星时间分辨率低,反之亦然。为了解决这个矛盾,首先利用TsHARP (An algorithm for sharpening thermal imagery)温度降尺度方法将LSTMODIS,1km(1km MODIS(Moderate-resolution Imaging Spectroradiometer)地表温度)图像(2004年9月9日上午)降尺度为LSTMODIS,500m(500m MODIS地表温度)图像。为了对降尺度LSTMODIS,500m图像进行验证,对研究区内同一天(2004年9月9日上午)的ETM图像的第6波段的辐亮度值升尺度到500m后,再利用Sobrino ETM(Enhanced Thematic Mapper)温度反演方法反演得到LSTETM,500m(500m ETM地表温度)图像,将LSTETM,500m图像作为当日地表温度的实测值,对降尺度LSTMODIS,500m图像的降尺度效果进行验证。对比结果表明降尺度LSTMODIS,500m图像更加精细刻画LSTMODIS,1km图像在空间上的分布格局;定量对比3种降尺度LSTMODIS,500m和LSTETM,500m的RMSE分别为0.786、1.002,0.754℃,降尺度结果达到预期效果。
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| 关 键 词： | 降尺度 MODIS 地表温度 归一化植被指数 |
| 收稿时间： | 2010/7/16 0:00:00 |
| 修稿时间： | 2010/10/18 0:00:00 |
Downscaling land surface temperature based on relationship between surface temperature and vegetation index |
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| NIE Jianliang,WU Jianjun,YANG Xi,LIU Ming,ZHANG Jie and ZHOU Lei.Downscaling land surface temperature based on relationship between surface temperature and vegetation index[J].Acta Ecologica Sinica,2011,31(17):4961-4969. |
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| Authors: | NIE Jianliang WU Jianjun YANG Xi LIU Ming ZHANG Jie and ZHOU Lei |
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| Institution: | State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing Normal University, Beijing 100875, China;College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing Normal University, Beijing 100875, China;Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing Normal University, Beijing 100875, China |
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| Abstract: | Land surface temperature(LST) plays a very important role in obtaining the thermal information of land surface.LST has been widely used to detect the agricultural drought,monitor evapotranspiration,and estimate net radiation,sensible and latent heat flux,surface urban heat island intensity,precipitable water,urban-induced surface moisture and surface runoff.However,due to technical constraints of remotely sensed LST data,there is a trade-off between spatial and temporal resolution: a high temporal resolutio... |
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| Keywords: | downscaling MODIS LST NDVI |
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