桂林理工大学学报2017，Vol.37Issue(2)：257-264,8.DOI:10.3969/j.issn.1674-9057.2017.02.003
基于劈窗算法暨马尔科夫模型的岩溶区地表温度混合反演剖析
Hybrid inversion method of karst area based on LST split window algorithm & Markov model
摘要
Abstract
Remote sensing method can predict the ground temperature quickly and its change regulation.But there are shortcomings in many methods for their regional specificity.In order to explore the remote sensing prediction model for ground temperature change in typical karst cities,this paper takes the typical karst landforms of Yanshan area in Guilin as an example.With the help of four Landsat data and some historical meteorological data,the window temperature is extracted and iterated by remote sensing image.The ground temperature data are normalized and combined with Markov prediction model to study the change of urban ground temperature.The results show that the change of the overall heat island effect in the study area is not obvious,indicating that the ground temperature effect by artificial development in the karst area is not significant.In the eastern part of Lijiang River,which is bounded by the Lijiang River,the change is slowed down.The results show that the split window algorithm combined with the Markov prediction model is an optimal combination of the urban heat island effect in karst landform area,and can reveal the temporal and spatial variation of urban heat island effect.关键词
热岛效应/地表温度反演/遥感/Landsat/马尔科夫模型/桂林Key words
heat island effect/LST (land surface temperature) effect retrieving/remote sensing/Landsat/Markov model/Guilin分类
信息技术与安全科学引用本文复制引用
陈三明,殷显阳,黄远林,徐嘉盛,刘智颖,涂媛,赵袁磊..基于劈窗算法暨马尔科夫模型的岩溶区地表温度混合反演剖析[J].桂林理工大学学报,2017,37(2):257-264,8.基金项目
国家自然科学基金项目(41372339) （41372339）
大陆构造与动力学国家重点实验室开放基金项目(K201402) （K201402）
