Remote sensing-based information extraction of the geological landscape in the Zhada earth forest distribution area
YE Qiang1(), WANG Hong2, YANG Zhaoying3, JIANG Xiao3(), NYIMA Ciren1, LU Wenjia3
1. Xizang Institute of Geological Survey, Lhasa 850000, China 2. Information Center of Ministry of Natural Resources, Beijing 100036, China 3. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
The Zhada earth forest, located in Zhada and Pulan Counties, Tibet, is composed primarily of weakly consolidated to semi-consolidated clastics s of the Tuolin and Xiangzi formations. This area forms a unique geological landscape consisting of peaks and ravines due to the long-term erosion by rivers and rain. To further explore the tourism resources in the Zhada earth forest distribution area and fully reveal the scientific and aesthetic values of the study area, this study carried out the geological interpretation of the study area mainly based on the GF-1 satellite remote sensing images, with the interpretation focusing on the Xiangzi and Tuolin formations constituting the earth forest landscape, as well as ophiolites and tectonic melanges reflecting plate subduction. Based on the interpretation results and the 3D interpretation environment of the Aerial Geophysical Remote Sensing Multivariate Data Processing and Product Display Platform, this study extracted information on typical geological landscapes in the study area, including earth forests, various rocks, and fault structures. The remote sensing technology helped delineate the distribution range of the earth forest more accurately. The 3D display platform enabled the more vivid display of the geological relics that represented the dramatic changes in the regional evolution history, such as earth forests, oceanic crust remnants, and unconformities. The application of modern information technology can provide strong support for the landscape planning of the Zhada Earth Forest National Geopark.
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YE Qiang, WANG Hong, YANG Zhaoying, JIANG Xiao, NYIMA Ciren, LU Wenjia. Remote sensing-based information extraction of the geological landscape in the Zhada earth forest distribution area. Remote Sensing for Natural Resources, 2023, 35(1): 148-154.
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2023, Vol. 35 
), 王红2, 杨昭颖3, 蒋校3(
