摘要
随着搭载在TERRA卫星上的中分辨率成像光谱仪(MODIS)的出现,它以数据丰富、时间分辨率高和覆盖范围广等特点,为植被遥感估产提供了较好的数据源。本文利用植被受坡度影响的特性,从数字高程模型(digital elevation models,简称DEM)中提取坡度信息,考虑到MODIS能提供多时相及丰富的数据,采用DEM产生的坡度和两个时相MODIS影像数据及植被指数复合提取植被面积,经过比较试验证明,在南方丘陵山区的复杂地形区域,多源信息复合相对于单纯利用单景影像数据可以明显提高土地分类估算的精度。
Because of the hilly region, more cloud and variety of plants, it is very difficult to perform the land cover classification. With the launch of TERRA, Moderate resolution Imaging Spectroradiometer(MODIS), with abundant information, quickly acquiring data and wide range of coverage, is a new data for estimation of rice yield. This study considered the characteristics of hilly region, and the digital slope image derived from the DEM map and multitemporal MODIS were used for the purpose of improving the classification accuracy of MODIS in large hilly region. The results showed that the slope and mutitemporal MODIS image can improve the accuracy of land cover classification in hilly region than only one MODIS image.
出处
《科技通报》
北大核心
2016年第10期31-35,共5页
Bulletin of Science and Technology
