针对传统的植被覆盖度估算方法费时费力、效率低且难以大范围提取等问题,该文基于泉州市2001-2016年TM/OII遥感影像,运用归一化植被指数和像元二分法进行植被覆盖度的反演并通过决策树法划分不同的覆盖度等级,研究泉州市植被覆盖度与景观格局变化趋势.结果表明,泉州市总体植被覆盖度良好,部分区域由于城区扩张和人为破坏,呈下降趋势;2001-2016年非植被,低植被覆盖度和较低植被覆盖度的斑块密度降低,连片性增强,中度植被覆盖度和较高植被覆盖度的斑块密度增加,连片性减弱;多样性指数先增加后保持稳定,说明研究区内植被生态环境正在逐渐变好且趋于稳定.

In order to verify the application effect of remote sensing technology on the land utilization information extraction of domestic high-resolution satellite,the threshold method,spectrum method and NDVI are used to do the information extraction test on single land class of the study area,whereas the unsupervised classification method and object-oriented method are used to extract information of all factors and the accuracy of extraction results are verified.The results show that three methods have their respective extraction advantages and corresponding land class information in the extraction of single land class information.For information extraction on all factors,there are differences in the accuracy of each category of information extraction between unsupervised classification and object-oriented method.