摘要
详细介绍了利用Landsat ETM+影像反演陆地表面温度(LST),并计算温度植被旱情指数(TVDI)的方法,并在此基础上利用ERDAS的空间建模功能设计了一个半自动化的,基于地表温度和归一化植被指数(ND-VI)的旱情指数特征空间模型。该模型的运算结果包括NDVI、陆地表面温度及研究区内相应NDVI的最大和最小陆地表面温度表格,用这些中间结果来计算旱情指数。最后通过该模型在珠江三角洲地区的应用,证明TVDI旱情指数能够较好地反映广东省地区表层土壤旱情出现及分布情况,有助于对该地区春、秋旱的预防和指示。
Retrieving land surface temperature and temperature/vegetation drought index based on Landsat ETM＋ images is specifically described in this paper,and a spatial model is further designed with ERDAS software. This model can be used to compute land surface temperature （LST）, the maximum and minimum of LST corresponding to NDVI as well as NDVI. Lastly, apply this model to Pearl River Delta areas, and an ideal result has been reached, which confirms the efficiency of TVDI in monitoring soil moisture status.
出处
《遥感信息》
CSCD
2008年第4期66-70,共5页
Remote Sensing Information
基金
中国科学院资源与环境信息系统国家重点实验室开放研究基金资助课题(A0609)
