基于中分辨率遥感影像的厦门城市绿地信息分析

Monitoring Changes in Urban Green Space in Xiamen Using Medium-Resolution Remote Sensing Imagery

采用2006、2009年Landsat5 TM和2013年Landsat8 OLI 3个时相的遥感影像,结合以往的相关数据、资料和实地调查,对厦门岛及周边区域的城市绿地进行提取分类,并采用监督分类方法,将绿地遥感影像划分为林地和其他绿地,分析区域内绿地面积和空间分布的变化情况。结果表明:利用中分辨率遥感影像,结合NDVI和K-T变换可以更简便、大面积地提取绿地信息;2006—2013年,厦门岛及周边区域城市的绿地面积逐年增加,但绿地空间分布不均匀,结构不合理。建议厦门市应对城市绿地进行系统规划与建设,合理分布绿地空间,推进垂直绿化,合理配置绿化物种,以本地物种为主,提高景观稳定性和多样性。

Landsat5 TM image in 2006 and 2009 and Landsat8 OLI image in 2013 were used,and urban green space in and around Xiamen Island classified into woodland and other green space according to the previous data and field surveys relevant to trace the changes in area and distribution of urban green space in this region.The results show that green space information was extracted in large area efficiently using medium-resolution remote sensing imagery combining with NDVI and K-T transformation,which indicated that urban green areas increased steadily from 2006 to 2013,yet maldistributed and ill structured.Urban green space construction in Xiamen should therefore have sound systematic planning for rational distribution of green space and species,promoted vertical greening and native species priority and improved landscape stability and diversity.