全国地表类型遥感影像样本数据集

Remote sensing image sample dataset of land cover types in China

全国地表类型遥感影像样本数据集是对全国(除港澳台地区外)31个省、自治区、直辖市的十米级Landsat 8多光谱影像数据和米级GF-1、QuickBird多光谱影像数据进行人工解译采集而得。本数据集使用了2013–2017年的影像数据,覆盖夏季和冬季两个典型时相,采用了面向测绘地物波谱的分类体系。所构建数据集可为土地覆盖分类提供先验训练和测试样本,指导待分类影像中同类影像样本点的采集,为应用示范研究提供样本数据支持。为了更好地利用这些数据,采用统一规范的数据处理方法、样本采集规则和质量控制体系,对地表类型遥感影像样本数据进行采集和质量控制,并已经公开共享和提供下载。

This dataset of remote sensing images of land cover types in China is obtained through manual interpretation of ten-meter-level Landsat 8 multispectral image data and meter-level GF-1 and QuickBird multispectral image data,which covers 31 provinces,municipalities and autonomous regions of China excluding Hong Kong,Macao and Taiwan.Based on satellite images of the past five years(2013–2017),including summer and winter seasons,the study uses the classification system of the ground object spectral library.The dataset can offer priori training and testing samples for land cover classification,and provide sample data support for the research on the application of land cover classification.It can also be used to guide the collection of similar image sample points in the image.To promote convenient data usage,we adopted unified and standard data processing methods,sample collecting rules and quality control system,based on which the land cover image data are formed.So far,this dataset has been made publicly available online.