Optical Technique, Volume. 47, Issue 6, 709(2021)

[in Chinese]

HU Lin1、*, GAN Shu1,2, YUAN Xiping2, GAO Sha1, BI Rui1, LI Raobo1, and LI Xinao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    Mountainous circular structures can provide abundant information on deep geological processes. To deepen the exploration and research of this special geological structure, based on the GF-5 satellite image. The circular structure in the south of Lufeng Dinosaur Valley is classified by land use/cover classification and then the hyperspectral characteristic of the classified land tapes is analyzed. Finally, the hyperspectral characteristics of the same land types inside and outside the circular structure are analyzed. The following conclusions are obtained: In the study area, the unused land accounts for the largest proportion(about 36.14%),which is mainly distributed in the circular form;Forest land accounts for 29.03%,and grassland accounts for 17.80% of the total area; Compared with the spectral library data, the spectral curves of the six land types are consistent with those of the corresponding features, indicating that the object-oriented classification results are effective; The overall trend of hyperspectral curves of the same land use/cover types inside and outside the circular structure is similar, but there are still differences. The maximum reflectance difference of unused land, woodland and grassland inside and outside the circular structure is 6.61%, 4.33% and 4.05%, respectively, but there are bands with only 0.01% reflectance difference. The results provide a theoretical basis and technical support for the establishment of a spaceborne hyperspectral database of land use/cover types of special geological structures in central Yunnan and also provide basic data for further and fine research based on hyperspectral technology.

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    HU Lin, GAN Shu, YUAN Xiping, GAO Sha, BI Rui, LI Raobo, LI Xinao. [J]. Optical Technique, 2021, 47(6): 709

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    Paper Information

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    Received: Apr. 18, 2021

    Accepted: --

    Published Online: Feb. 28, 2022

    The Author Email: Lin HU (hl112365@163.com)

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