Application of the Data from Landsat8 OLI - The New Generation of Landsat Series in the Cultivated Land Information Extraction

  • Luyan Niu
  • Taichang Cui
  • Jiabo Sun
  • Xiaoyan Zhang
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 509)


By making use of the image data of Landsat8 OLI newly launched by the United States and taking Liaocheng, Shandong Province as an example, we conduct computer correction and enhancement for the remote sensing image data of Liaocheng through the adoption of ENVI (a remote sensing image processing software) to extract information of cultivated land with the methods of visual interpretation, supervised classification and unsupervised classification. The result shows that based on the combination of Band5, 4, 3 and Band6, 5, 2 of Landsat8 OLI data, a relatively satisfactory cultivated land information can be acquired through visual interpretation, interactive methods of supervised classification and unsupervised classification.


Landsat8 OLI Cultivated land Classification Information abstraction 



Funds for this research was provided by the Special Public Welfare Industry (agriculture) Research project – Huang Huai Basin Wheat Corn Rice Field with Water Section Fertilizer Medicine Comprehensive Technology Solutions and Shandong Province Agriculture Major Application of Technology Innovation Project – Wheat Disease Early Information Quickly Identify Key Technology Research and Application.


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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Institute of Science and Technology InformationShandong Academy of Agricultural Sciences ResearchJinanChina

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