干旱区生态环境知识资源中心(Arid): 地表温度-植被指数特征空间时空尺度效应分析

Arid

	地表温度-植被指数特征空间时空尺度效应分析
其他题名	Effects of spatial and temporal scale on the surface temperature-vegetation index feature space
	李红军; 雷玉平; 李春强; 许宁; 成铁刚
来源期刊	中国生态农业学报
ISSN	1671-3990
出版年	2014
卷号	22 期号:10 页码:1252-1258
中文摘要	利用遥感技术构建的地表温度-植被指数特征空间法(以下简称特征空间法)综合了这两个参数特有的生理生态意义,被广泛应用于区域旱情监测与蒸散估算。但是受前期降雨的影响,特征空间法的应用前提(研究区域存在极端干旱地区)很难满足; 同时,多空间分辨率遥感数据对地面极端湿润或干旱状况识别程度不同,增加了特征空间法应用的不确定性。为探索特征空间法的时空尺度效应,本文利用MODIS数据对降雨后特征空间拟合边界的连续变化进行分析,利用Landsat 5 TM数据对不同空间分辨率下的特征空间参数及温度-植被干旱指数(TVDI)的变化进行研究。结果表明: 拟合"干边"因受降雨影响,与理论"干边"存在较大差异,拟合"干边"的变化能够反映研究区域的墒情演变,要提高特征空间法的估算精度,必须正确对拟合"干边"在裸地处(NDVI=0.1)的数值进行动态赋值。遥感数据空间分辨率的降低使得拟合"干边"与"湿边"偏离理论边界,造成特征空间向中间压缩,导致TVDI指数向极端干旱和极端湿润区偏移。任何不符合特征空间法应用前提的畸变都可影响到最后的计算结果,应该从机理上对这些畸变进行校正或避开,特征空间法才能得到正确的应用。
英文摘要	Surface temperature-vegetation index feature space (hereinafter to be referred as feature space method), constructed by using remote sensing technology, combines these 2 components' physiological and ecological functions and is widely used in regional drought monitoring and evapotranspiration estimation. However, influenced by the antecedent precipitation, the premise of the feature space method, i.e., the study area has extreme drought regions, is hard to satisfy. In addition, different spatial resolution remote sensing data have different abilities to identify the extreme moist or drought condition of the soil. All these facts increase the uncertainty of the feature space method. To explore the effects of spatial and temporal scale on the feature space method, this paper analyzed the continuous changes of feature space fitting borders after the rain using MODIS data. The surface temperature and Normalized Difference Vegetation Index (NDVI) retrieved by Landsat 5 TM data were interpolated into different resolution data, feature space parameters and Temperature-Vegetation Drought Index (TVDI) obtained by these different resolution data were studied. The results showed that the fitting dry edges were far from the theoretical ones because the influence of antecedent rainfall. The continuous changes of the fitting dry edges were in accordance with the soil moisture evolution of the study area. To improve the estimate precision of the feature space method, the value of fitting dry edge at the bare soil (where NDVI=0.1) should be assigned correctly and dynamically. The decrease of the spatial resolution of remote sensing data made the fitting dry and wet edges more far from the theoretical ones and the feature space compressed to the center. These led to some places be mistaken for more drought or more moist. By this token, any discrepancy with the premise of the feature space caused error in the drought monitoring and evapotranspiration estimation. The discrepancy should be corrected based on its mechanism and the demands of the feature space method.
中文关键词	特征空间法 ; 时空尺度 ; 旱情监测 ; 蒸散估算
英文关键词	TVDI Feature space method Spatial and temporal scale TVDI Drought monitoring Evapotranspiration estimation
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Remote Sensing
CSCD记录号	CSCD:5253892
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/378832
作者单位	李红军, 中国科学院遗传与发育生物学研究所农业资源研究中心, 石家庄, 河北 050022, 中国.; 雷玉平, 中国科学院遗传与发育生物学研究所农业资源研究中心, 石家庄, 河北 050022, 中国.; 李春强, 河北省气象科学研究所, 石家庄, 河北 050021, 中国.; 许宁, 河北省农业技术推广总站, 石家庄, 河北 050011, 中国.; 成铁刚, 河北省农业技术推广总站, 石家庄, 河北 050011, 中国.
推荐引用方式 GB/T 7714	李红军,雷玉平,李春强,等. 地表温度-植被指数特征空间时空尺度效应分析[J],2014,22(10):1252-1258.
APA	李红军,雷玉平,李春强,许宁,&成铁刚.(2014).地表温度-植被指数特征空间时空尺度效应分析.中国生态农业学报,22(10),1252-1258.
MLA	李红军,et al."地表温度-植被指数特征空间时空尺度效应分析".中国生态农业学报 22.10(2014):1252-1258.