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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Application of the Data from Landsat8 OLI - The New Generation of Landsat Series in the Cultivated Land Information Extraction
verfasst von : Luyan Niu, Taichang Cui, Jiabo Sun, Xiaoyan Zhang
Erschienen in: Computer and Computing Technologies in Agriculture X
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Abstract
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.