基于Landsat影像植被覆盖度提取的研究

Research on Vegetation Coverage Extraction Based on Landsat Image

以2015年9月27日威海市Landsat8影像为数据源,利用ENVI软件进行处理,基于归一化植被指数(NDVI)建立像元二分模型,对威海市地区进行了植被覆盖度的提取.基于遥感技术的植被覆盖信息的提取方法,利用NDVI估算植被覆盖度,能真实地反映该地区的植被覆盖信息,与相适应的模型相结合,不仅针对性更强,而且能提高提取精度.植物覆盖度颜色的深浅反映了覆盖度的高低.以NDVI值为参数运用像元二分模型设计的植被覆盖度的遥感技术成熟,可操作性强,结果能较准确反映威海市地面植被覆盖情况.

Taking Landsat 8 image of the Weihai city as data source on September 27,2015 and using ENVI software to process,the vegetation cover information of Weihai city was extracted which is based on establishment of dimidiate pixel model normalized difference vegetation index( NDVI). Using the vegetation coverage of NDVI,the extraction method of vegetation cover information based on remote sensing technology can reflect the vegetation coverage information in the area and combine with the adaptive model,which is not only more targeted,but also can improve the extraction accuracy. The color of plant cover degree reflects the degree of coverage. Using the NDVI value as parameter,the remote sensing technology of vegetation coverage designed by dimidiate pixel model is mature and operable,and the results can accurately reflect the vegetation coverage of Weihai city.