高原气象

高原气象 >

2015 , Vol. 34 >Issue 1: 183 - 189

DOI: https://doi.org/10.7522/j.issn.1000-0534.2013.00132

论文

Ts-NDVI特征空间结构及与气候特征的相关性研究

  • 于敏 ,
  • 张洪玲 ,
  • 张桂华
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  • 黑龙江省气象科学研究所, 哈尔滨 150030;2. 黑龙江省气候中心, 哈尔滨 150030;3. 黑龙江省气象台, 哈尔滨 150030

收稿日期: 2012-02-28

  网络出版日期: 2015-02-28

基金资助

黑龙江省自然科学基金项目(D201414)

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Ts-NDVI Space Structure and Relationship between Structure and Climate Feature

  • YU Min ,
  • ZHANG Hongling ,
  • ZHANG Guihua
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  • Heilongjiang Provincial Institute of Meteorological Sciences, Harbin 150030, China;2. Heilongjiang Climate Center, Harbin 150030, China;3. Heilongjiang Meteorological Observatory, Harbin 150030, China

Received date: 2012-02-28

  Online published: 2015-02-28

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摘要

基于实时观测的单一时段和多年合成的通用Ts-NDVI特征空间方法, 利用20002008年黑龙江省MODIS数据和降水量资料, 对研究区整个生长季的Ts-NDVI特征空间结构的年际和季节变化特征进行了研究, 并从气候特征角度对Ts-NDVI特征空间结构变化与降水量的关系进行了分析.结果表明, Ts-NDVI特征空间结构的变化具有一定的规律, 年际变化和季节变化都很大, 在相同区域, 不同时相的Ts-NDVI特征空间干、湿边截距呈现从春季到夏季升高、从夏季到秋季降低的趋势, 斜率变化趋势与截距相反, 湿边的变化对环境条件更加敏感.合成后通用Ts-NDVI特征空间干、湿边截距分别与历年最小、最大降水量之间呈显著正相关关系, 湿边截距与最大降水量的相关性最好.

关键词： 卫星遥感; Ts; 结构变化; 干旱监测; 气候特征

本文引用格式

于敏 , 张洪玲 , 张桂华 . Ts-NDVI特征空间结构及与气候特征的相关性研究[J]. 高原气象, 2015 , 34(1) : 183 -189 . DOI: 10.7522/j.issn.1000-0534.2013.00132

Abstract

Ts-NDVI space is a method used extensively to monitor drought, which combines spectral reflectivity and thermal infrared information. The temporary and spatial dependence and instability exist in Ts-NDVI space. Studying the features of Ts-NDVI space's structure and the relationship between the structure and climate feature is necessary to evaluate the Ts-NDVI space's temporary and spatial dependence and instability and to prove the drought monitoring and drought forecast. With the modis data and precipitation of Heilongjiang Province from 2000 to 2008, the study about interannual and seasonal variation of Ts-NDVI space and the relationship between the structural variation and climate characteristics are conducted. The single Ts-NDVI space based on primary satellite data and the composed general Ts-NDVI space based on multi-year satellite data are used in the study. The results show that: Some features are the variation of Ts-NDVI space's intercept and slope of dry and wet edge. The interannual variation ranges of the intercept and slope of dry and wet edge of Ts-NDVI space are all large, while the variation of slope is in the inverse way of the variation of intercept. The slope is to decrease if the intercept increases and vice versa, which is more obvious in wet. The seasonal variation of Ts-NDVI space is very evident and the variations of dry and wet edge are in the same way. The dry and wet edge's intercepts increase from spring to summer and decrease from summer to autumn. The max intercepts of both dry edge and wet edge are all in summer. The variation range of intercept is larger than that of slope. The wet edge is more sensitive to the environment, especially from spring to summer. The precipitation gives more impact on Ts-NDVI space, especially on wet edge. The composed general Ts-NDVI space by multi-year satellite data can reflect the climate feature within the same temporary and spatial scale. The intercept of dry edge can denote the min precipitation, and the intercept of wet edge can denote the max precipitation during the years. The correlation between the wet edge and the max precipitation is more evident.

Key words： Satellite remote sen; Ts; Structural variation; Drought monitoring; Climate feature

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