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基于Landsat8热红外遥感数据的山地地表温度地形效应研究
A Study on Land Surface Temperature Terrain Effect over Mountainous Area based on Landsat 8Thermal Infrared Data

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赵伟 1   李爱农 2 *   张正健 2   边金虎 2   靳华安 2   尹高飞 2   南希 2   雷光斌 2  
文摘 地表温度是影响地表能量收支平衡的重要参量,能够综合反演地表的水热交换过程。虽然当前在基于地表温度开展全球或者区域尺度的地表能量平衡研究方面取得一系列的进展,但是面向山地区域尺度的类似研究仍然面临较大的挑战。为分析山地复杂地形对山地地表温度时空分布的影响规律,基于具有较高空间分辨率的Landsat 8热红外数据,以我国西南典型山地为研究对象,定量反演该区域的地表温度空间分布状况,结合SRTM90DEM数据,选择从海拔、坡度和坡向3个关键地形因子角度分析山地地表温度的地形效应特征。结果发现:山地地表温度随地形因子均呈现出十分显著的变化特征。总体而言,地表温度均随着海拔和坡度的升高而降低,而在坡向方面,南坡的温度相比北坡的温度要高。在地形效应分析的基础上,通过开展1 km空间尺度地形和地表温度的空间统计分析发现,山地1 km尺度下地表温度存在较大的空间异质性,且其影响不可忽略。研究结果表明:开展山地地表水热过程遥感动态监测需高空间分辨率地表温度作为数据支持,以准确描述山地地形因素对地表能量交换过程的影响。
其他语种文摘 Land surface temperature(LST)plays an important role in land surface energy budget.It is also a key parameter related to land surface water and heat transfer processes.With the fast development of LST retrieval algorithm by remote sensing methods,LST products are provided by coarse resolution satellite observations such as MODIS and AVHRR,which are commonly used for global or regional study.However, it is still a big challenge for their application over mountainous area due to the high resolution demanded and terrain effect.In order to investigate the influences of topographic factors such as elevation,slope,and aspect on LST,a systematic study was conducted based on LST estimations in the typical mountain environment with Landsat 8 thermal infrared data.The results indicated that there are significant effects from topographic factors on LST distribution.Generally,LST decreases with the increase of elevation and slope. LST in south face usually is higher than that in north face.To discuss the scale problem over mountainous area,the estimated LST was analyzed at 1 km scale,close to MODIS LST spatial resolution,at the high mountain area and hilly area respectively.It was found that the LST at 1 km scale shows higher spatial heterogeneity with elevation and land cover at the complex terrain area.Therefore,high spatial resolution LST data is necessary for land surface water and heat transfer studies over mountain area to consider the impacts from topographic changes.
来源 遥感技术与应用 ,2016,31(1):63-73 【核心库】
DOI 10.11873/j.issn.1004-0323.2016.1.0063
关键词 地表温度(LST) ; Landsat 8 ; 地形效应 ; 山地
地址

1. 中国科学院水利部成都山地灾害与环境研究所, 遥感科学国家重点实验室, 四川, 成都, 610041  

2. 中国科学院水利部成都山地灾害与环境研究所, 四川, 成都, 610041

语种 中文
文献类型 研究性论文
ISSN 1004-0323
学科 自动化技术、计算机技术
基金 国家自然科学基金 ;  中国科学院国际合作局对外合作重点项目 ;  中国科学院西部之光人才培养计划 ;  中国科学院遥感应用研究所遥感信息科学国家重点实验室项目 ;  中国科学院水利部成都山地灾害与环境研究所“青年百人团队计划”
文献收藏号 CSCD:5664067

参考文献 共 26 共2页

1.  Li Z L. Satellite-derived Land Surface Temperature:Current Status and Perspectives. Remote Sensing of Environment,2013,131:14-37 被引 106    
2.  Carlson T N. An Overview of the"Triangle Method"for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery. Sensors,2007,7:1612-1629 被引 56    
3.  Jimenez-Munoz J C. A Generalized Single-channel Method for Retrieving Land Surface Temperature from Remote Sensing Data. Journal of Geophysical Research: Atmospheres (1984~2012),2003,108 被引 207    
4.  Qin Z. A Mono-window Algorithm for Retrieving Land Surface Temperature from Landsat TM Data and Its Application to the Israel-Egypt Border Region. International Journal of Remote Sensing,2001,22:3719-3746 被引 170    
5.  Wan Z. Generalized Split-window Algorithm for Retrieving Land-surface Temperature from Space. IEEE Transactions on Geoscience and Remote Sensing,1996,34:892-905 被引 92    
6.  Becker F. Temperature-independent Spectral Indices in Thermal Infrared Bands. Remote Sensing of Environment,1990,32:17-33 被引 39    
7.  Wan Z. A Physics-based Algorithm for Retrieving Land-surface Emissivity and Temperature from EOS/MODIS Data. IEEE Transactions on Geoscience and Remote Sensing,1997,35:980-996 被引 52    
8.  Tang B. Generalized Split-window Algorithm for Estimate of Land Surface Temperature from Chinese Geostationary Fengyun Meteorological Satellite (FY-2C)Data. Sensors,2008,8(2):933-951 被引 3    
9.  Tang B. Estimation and Validation of Land Surface Temperature from Chinese Second Generation Polar-orbiting FY-3AVIRR Data. Remote Sensing,2015,7:3250-3273 被引 1    
10.  Li Y Y. Monitoring Patterns of Urban Heat Islands of the Fast-growing Shanghai Metropolis,China: Using Time-series of Landsat TM/ETM+ Data. International Journal of Applied Earth Observation and Geoinformation,2012,19:127-138 被引 10    
11.  盛辉. 基于TM影像的城市热岛效应监测与预测分析. 遥感技术与应用,2010,25(1):8-14 被引 23    
12.  王萍. 城市热岛效应地表通量空间分布研究. 遥感技术与应用,2009,24(6):757-765 被引 4    
13.  Li Z L. A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data. Sensors,2009,9:3801-3853 被引 69    
14.  Zhao W. Surface Energy Fluxes Estimation Over the South Asia Subcontinent Through Assimilating MODIS/ TERRA Satellite Data with In-situ Observations and GLDAS Product by SEBS Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7:3704-3712 被引 1    
15.  Li A. A Quantitative Inspection on Spatio-Temporal Variation of Remote Sensing-based Estimates of Land Surface Evapotranspiration in South Asia. Remote Sensing,2015,7:4726-4752 被引 2    
16.  李琴. 基于SEBS模型干旱区蒸散发量研究. 遥感技术与应用,2014,29(2):195-201 被引 7    
17.  Zhao W. A Review on Land Surface Processes Modelling over Complex Terrain. Advances in Meteorology,2015:1-17 被引 3    
18.  蒋大林. 基于Landsat 8的地表温度反演算法研究——以滇池流域为例. 遥感技术与应用,2015,30(3):448-454 被引 31    
19.  李瑶. 基于Landsat 8劈窗算法与混合光谱分解的城市热岛空间格局分析——以兰州市中心城区为例. 干旱区地理,2015,38(1):111-119 被引 22    
20.  徐涵秋. 新型Landsat 8卫星影像的反射率和地表温度反演. 地球物理学报,2015,58(3):741-747 被引 124    
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