Data Paper Zone II Versions ZH5 Vol 4 (2) 2019
Remote sensing image sample dataset of land cover types in China
Dataset URL >>
: 2018 - 09 - 17
: 2019 - 03 - 26
: 2018 - 10 - 26
: 2019 - 06 - 05
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Abstract & Keywords
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.
Keywords: land cover type; China; remote sensing image sample; ten meter level multispectral data; meter level multispectral data
Dataset Profile
TitleRemote sensing image sample dataset of land cover types in China
Data corresponding authorZhao Lijun (
Data authorsZhao Lijun, Zheng Ke, Shi Lulu, Bai Yang, Tang Jiwen, Zhang Wei, Rao Mengbin, Zou Song, Li Yanyan
Time range2013 – 2017
Geographical scope31 provinces, municipalities or autonomous regions of China excluding Hong Kong, Macao and Taiwan
Spatial resolution2.4–30 m
Data volume647 MB (after decompression)
Data format*.tif, *.jpg, *.txt, *.xml
Data service system
Sources of fundingBasic Research Foundation of Science and Technology (2014FY210800)
Dataset compositionThe dataset consists of two compressed files, made up of two folders storing meter-level sample data, namely GF1 and QuickBird, and one folder storing ten-meter-level sample data, namely Landsat. Each folder is comprised of several subfolders which are named after sampling regions. Each subfolder consists of compressed files that store data of six major land cover types in the sampling regions, including soil, water body, rock, vegetation, snow and ice, and man-made objects. Each of the compressed files includes only data of several samples of the same remote sensing image of the same land cover type. After being decompressed, each file is made up of four types of data files, including an original satellite image of the sample (*.tif), a sample image preview file (*.jpg), a text file of DN values of different spectral bands (*.txt), and a metadata file (*.xml).
Article and author information
Lijun Zhao
Ke Zheng
Lulu Shi
Yang Bai
Jiwen Tang
Wei Zhang
Mengbin Rao
Song Zou
Yanyan Li
Publication records
Released: Oct. 26, 2018 ( VersionsZH3
Published: June 5, 2019 ( VersionsZH5
翻译版出版时间:June 5, 2019 ( VersionsEN1