Journal of Agricultural Big Data ›› 2025, Vol. 7 ›› Issue (2): 255-260.doi: 10.19788/j.issn.2096-6369.100052

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Landsat8 Image Training Data Set of Grassland Types in Tarbagatay Prefecture in 2023

YANG YanXiao1(), LI QuanSheng1, HU Lin2,3, ZHANG XianHua4(), SUN Wei2,3,*()   

  1. 1. College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China
    2. Agricultural Information Institute of CAAS, Beijing 100081, China
    3. National Agriculture Science Data Center, Beijing 100081, China
    4. College of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2024-12-17 Accepted:2025-02-14 Online:2025-06-26 Published:2025-06-23
  • Contact: SUN Wei

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Abstract:

Grassland resources are the material basis of animal husbandry production and the gene pool of biodiversity, which have the ecological functions of preventing wind, fixing sand and conserving water. Grassland classification based on satellite remote sensing can not only provide data support for the investigation of grassland resources, but also provide a basis for the study of grassland species diversity. Based on the field survey data, the grassland classification information of real sample plots was obtained. Based on field survey data, the grassland type information of real sample plots is obtained. Landsat8 remote sensing images that have been preprocessed by radiation calibration, atmospheric correction, image fusion, seamless mosaic, etc. are used. After the operation process of dataset sample labeling, sample data clipping, result inspection, data enhancement, etc., combined with visual interpretation of remote sensing interpretation, ArcGIS software is used to construct 8 types of grassland in Tarbagatay Prefecture, a total of 3360 multispectral remote sensing image classification training datasets, and the number of sample images in each category is between 300-580.This data set can not only provide data basis for remote sensing image classification of grassland in Tarbagatay Prefecture, but also provide data reference for researchers in related fields in other areas.

Data summary:

Item Description
Dataset name Landsat8 Image Training Data Set of Grassland Types in Tarbagatay Prefecture in 2023
Specific subject area Agricultural science
Research topic Grassland types
Time range 2023 year
Geographical scope Tarbagatay Prefecture 82°16'-87°2′E，43˚25΄-47°15′N; specific areas include: Emin County, Toli County, Yumin, Mongolian Autonomous County of Hoboksar, Tacheng City, Shawan, Wusu City
Spatial resolution 15 m
Data types and technical formats .tif
Dataset structure The dataset consists of 8 folders named after grassland, each containing 3360 remote sensing images of the corresponding grassland category.
Volume of data 5.74 GB
Key index in dataset Lowland meadow, temperate steppe desert, temperate meadow steppe, temperate desert steppe, montane meadow, temperate steppe, alpine meadow, temperate desert
Data accessibility CSTR:17058.11.sciencedb.agriculture.00135; https://cstr.cn/17058.11.sciencedb.agriculture.00135
DOI:10.57760/sciencedb.agriculture.00135; https://doi.org/10.57760/sciencedb.agriculture.00135
Financial support National Natural Science Foundation of China（32271880，32060321）

Key words: Tarbagatay prefecture, image classification, landsat, remote sensing image, grassland class

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