Year: 2019
Type: article
Abstract: 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.
Source: China Scientific Data
Authors: Lijun Zhao, Ke Zheng, Lulu Shi, Yang Bai, Jiwen Tang, Wei Zhang, Mengbin Rao, Song Zou, Yanyan Li
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403737511