摘要
地表温度(LST)与归一化植被指数(NDVI)构成的NDVI-Ts特征空间具有丰富的地学和生态学内涵。MODIS数据因其优越的时间分辨率、波谱分辨率,已被广泛地运用于各个领域。在本研究中,运用遥感技术和GIS技术相结合的手段,利用NASA提供的MODIS温度产品和NDVI产品,以山东省土地利用图、山东省TM遥感影像图和基于3S技术的山东省森林资源调查项目的外业调查数据为参考和评价标准,以NDVI-Ts时间序列为指标,在进行土地覆盖分类的基础上,分析比较了山东省土地覆盖从2000年到2006年的变化情况。研究结果表明,利用MODIS产品将NDVI-Ts时间序列作为分类特征,在较大尺度范围的土地覆盖分类中具有较高的分类精度,有利于对土地覆盖变化进行动态监测。
The land surface temperature（LST） and normalized difference vegetation index（NDVI） are two important parameters used to describe the characteristics of land cover.The NDVI-Ts feature combines these two parameters into one variable,which is reach in geological and ecological connotations.MODIS data has been widely used in various fields because of the superior temporal and spectral resolution.In this study,using MODIS NDVI LST products provided by NASA,we made the classification in 2000＇s and 2006＇s land cover of Shandong province with remote sensing and GIS technology combined.The Shandong Province land use classification map,Shandong Province TM remote sensing image and the field survey data of Shandong Province were taken for the supporting information when classifying,at the same time,NDVI-Ts time series were used as the classification indicator.Then,the dynamic land cover changes were analyzed from 2000 to 2006 of Shandong Province.The result revealed that remarkable improvement of land cover classification can be reached with the time series of NDVI and land surface temperature as classified characteristics.
出处
《遥感信息》
CSCD
2010年第4期58-62,共5页
Remote Sensing Information
基金
北京农业信息技术研究中心开放课题(KF2008W35-041)
