基于Landsat OLI数据的青岛市土地利用分类和植被覆盖度反演
Land Use Classification and Vegetation Coverage Inversion Based on Landsat OLI Data in Qingdao

分层分类方法是一种通过挖掘空间数据信息来获取分类规则的方法，植被覆盖度则是刻画地表植被覆盖的重要参数。本文采用青岛市2017年的OLI影像数据，采用分层分类方法对研究区进行土地覆盖分类研究。首先对影像进行预处理，分析影像光谱特征并计算NDVI、NDWI、NDBI等指数，利用分层分类方法进行土地利用分类，并根据像元二分模型用NDVI估算研究区植被覆盖度。根据得到的土地利用分类结果和植被覆盖度反演结果，有利于规划青岛市土地利用形式，保护和改善青岛市生态环境，科学合理地规划城市发展方向。
Hierarchical classification method is a method to obtain classification rules by mining spatial data information, and vegetation coverage is an important parameter to characterize surface vegetation coverage. In this paper, based on the 2017 Landsat OLI image data of Qingdao city, land cover in the study area was classified and studied by stratified classification method. First of all, by making the necessary data preprocessing, the spectral characteristics of the image in the study area are analyzed and the image of NDVI, NDWI, NDBI index are calculated, and by using the stratified classification method we classify the land use in the research area. According to the results of land use classification and vegetation coverage inversion in the study area, it is advantageous to the planning of land utilization in Qingdao form, and it is of great importance to protect and improve the ecological environment of Qingdao and to plan the direction of urban development scientifically and reasonably.