摘要
老挝是一个发展中国家,境内的大多数地方没有开展过土地利用/土地覆盖调查。本文选择老挝琅勃拉邦省的Phonxay区为研究区域,利用Landsat OLI数据进行土地利用/土地覆盖遥感调查与分析。研究过程中,利用ArcGIS Desktop选择训练样本和验证样本,通过Python和ArcPy编程开发了图像分类、精度评价以及面积统计的工作流程序,实现了快速得到分类结果和精度评价信息,分类结果的总精度为89.53%,Kappa系数为0.81。
Lao PDR is a developing country where people rarely processed land use/land cover detection in most areas. In this study we select the Phonxay District, Luang Prabang Province as the study area, using Landsat 8 Operational Land Imager （OLI） data to ac- complish land use/land cover detection and analysis. First, we select the training samples and test samples artificially from OLI ima- ges by ArcGIS Desktop. Then we programme in Python （＆ArePy） to create a workflow including image classification, precision evalu- ation and area statistics, which we can achieve the classification results and the accuracy evaluation directly from. Finally after pro- cessing, the total accuracy result of the classification is 89.53% and the Kappa Coefficient is 0.81.
出处
《测绘与空间地理信息》
2018年第2期18-20,23,共4页
Geomatics & Spatial Information Technology
