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三峡库区典型样带潜热通量遥感反演与验证
引用本文:罗红霞,;邵景安,;邹扬庆,;张雪清. 三峡库区典型样带潜热通量遥感反演与验证[J]. 地球信息科学学报, 2014, 16(4): 638-644. DOI: 10.3724/SP.J.1047.2014.00638
作者姓名:罗红霞,  邵景安,  邹扬庆,  张雪清
作者单位:1. 西南大学地理科学学院,重庆 4007152. 重庆师范大学地理科学学院,重庆 400047
基金项目:重庆市自然科学重点基金“基于库周气象数据的三峡水库地表覆被变化气候效应的情景模拟”(2010JJ0069)
摘    要:本文以三峡库区腹地的部分地区为典型样带,利用遥感数据的时效性和区域性优势,结合常规气象数据,定量反演样带地表潜热通量,并对比验证遥感反演方法的可行性和可靠性。结果表明:潜热通量在不同地表覆被状况下呈现较大差异,城镇居民区和无植被覆盖区一般在20~80W·m-2;人工林场、山区森林及草灌和山前农作区在180~280W·m-2;水体则分布在420~470W·m-2,潜热通量整体呈现出随地表覆被变化而变化的空间异质性。此外,由于库区地表覆被类型多样,并受到山区起伏地形地貌的影响,潜热通量在空间分布上的地形分异特征也较显著。

关 键 词:潜热通量  典型样带  TM影像  地表覆被  三峡库区  
收稿时间:2013-07-27

Estimation of Latent Heat Flux from Landsat TM Data in the Three Gorges Reservoir Region
LUO Hongxia,SHAO Jing,#x,an,ZOU Yangqing,ZHANG Xueqing. Estimation of Latent Heat Flux from Landsat TM Data in the Three Gorges Reservoir Region[J]. Geo-information Science, 2014, 16(4): 638-644. DOI: 10.3724/SP.J.1047.2014.00638
Authors:LUO Hongxia  SHAO Jing&#x  an  ZOU Yangqing  ZHANG Xueqing
Affiliation:1. College of Geographical Science, Southwest University, Chongqing 400715, China2. College of Geographical Science, Chongqing Normal University, Chongqing 400047, China
Abstract:Due to its close relation with the physical state of ground surface, vegetation status and the change of precipitation, latent heat flux in the Three Gorges Reservoir Region is an important expression of water circulation and energy exchange of ground-air and an important parameter for assessment of climatic effect on regional scale. Taking a part of the Three Gorges Reservoir Region as a typical transect, making use of the timeliness and regional advantages of remote sensing data, and combining with the conventional meteorological data, the quantitative inversion of surface latent heat flux was completed. The contrast verification between the result of remote sensing inversion and FAO Penman-Monteith formula calculated proved the feasibility and reliability of inversion methods based on the relative error. There is a realistic significance for the reservoir area climate scene simulation on the regional scale. Considering the influence of terrain factor fully is conducive to the inversion results closing to the actual values. Further analysis on the spatial distribution of surface latent heat flux in the sample region provided scientific evidence for the climate effect under a changing surface cover. The results show that different surface cover condition appears different latent heat flux, and the spatial distribution of latent heat flux is changing obviously with the change in surface cover, namely, the spatial heterogeneity. For example, the latent heat flux values range from 20 to 80W/m2in urban residential area and non-vegetation coverage area, 180to 280 W/m2in artificial forest, mountain forest, grass, shrub and piedmont farming area, and 420 to 470 W/m2in water body. In addition, because the surface cover is more complex as well as influenced by undulating landform, the spatial distribution of latent heat flux presents obviously terrain differentiation characteristics.
Keywords:latent heat flux  typical transect  TM image  surface cover  Three-Gorges Reservoir Region
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