地球信息科学学报 ›› 2014, Vol. 16 ›› Issue (4): 638-644.doi: 10.3724/SP.J.1047.2014.00638

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三峡库区典型样带潜热通量遥感反演与验证

罗红霞1(), 邵景安2**(), 邹扬庆1, 张雪清1   

  1. 1. 西南大学地理科学学院,重庆 400715
    2. 重庆师范大学地理科学学院,重庆 400047
  • 收稿日期:2013-07-27 修回日期:2013-11-14 出版日期:2014-07-10 发布日期:2014-07-10
  • 作者简介:

    作者简介:罗红霞(1972-),女,副教授,主要从事遥感与GIS应用研究。E-mail:tam_7236@swu.edu.cn

  • 基金资助:
    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)

Estimation of Latent Heat Flux from Landsat TM Data in the Three Gorges Reservoir Region

LUO Hongxia1(), SHAO Jing’an2*(), ZOU Yangqing1, ZHANG Xueqing1   

  1. 1. College of Geographical Science, Southwest University, Chongqing 400715, China
    2. College of Geographical Science, Chongqing Normal University, Chongqing 400047, China
  • Received:2013-07-27 Revised:2013-11-14 Online:2014-07-10 Published:2014-07-10
  • About author:

    *The author: CHEN Nan, E-mail:fjcn99@163.com

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

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/m2 in urban residential area and non-vegetation coverage area, 180 to 280 W/m2 in artificial forest, mountain forest, grass, shrub and piedmont farming area, and 420 to 470 W/m2 in 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.

Key words: latent heat flux, typical transect, TM image, surface cover, Three-Gorges Reservoir Region