Dr. Shuangyun Peng Profile

Dr. Shuangyun Peng

at Yunnan Normal Univ

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Publications (2)

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Proceedings Article | 20 October 2023 Paper

Design and implementation of scenic area information management system based on WebGIS

Jiaying Zhu, Shuangyun Peng, Dequan Xu, Yuqian Yang

Proceedings Volume 12814, 128141Y (2023) https://doi.org/10.1117/12.3010330

KEYWORDS: Databases, Design and modelling, Geographic information systems, Internet, Information fusion, Data storage

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Location-based map services are developing rapidly, and detailed scenic area information has important reference value for tourists. However, it is difficult to obtain scenic area information and the information obtained is not detailed and accurate, and the overexploitation of scenic areas has led to the lack of attention to the precious natural resources of scenic areas. This system collects the basic information resources and basic geographic information resources of scenic areas, selects the development scheme of the system from the perspective of users, and realizes the specific module development of scenic area management system with WebGIS technology OpenLayers, PostgreSQL and Vue framework. Design the database through E-R diagram and database table, and build the overall system architecture and various functional module design to realize the integration, management, query and analysis of scenic area information. Then, taking the Baili Cuckoo Scenic Area as the test and research area data, the system module was tested and improved, and the results showed that the system basically met the expectations and operated stably.

Proceedings Article | 19 February 2018 Paper

A method of extracting impervious surface based on rule algorithm

Shuangyun Peng, Liang Hong, Quanli Xu

Proceedings Volume 10607, 106070S (2018) https://doi.org/10.1117/12.2287058

KEYWORDS: Remote sensing, Vegetation, Earth observing sensors, Landsat, Near infrared, Satellites, Image processing, Algorithm development, Thermal effects, Ecology

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The impervious surface has become an important index to evaluate the urban environmental quality and measure the development level of urbanization. At present, the use of remote sensing technology to extract impervious surface has become the main way. In this paper, a method to extract impervious surface based on rule algorithm is proposed. The main ideas of the method is to use the rule-based algorithm to extract impermeable surface based on the characteristics and the difference which is between the impervious surface and the other three types of objects (water, soil and vegetation) in the seven original bands, NDWI and NDVI. The steps can be divided into three steps: 1) Firstly, the vegetation is extracted according to the principle that the vegetation is higher in the near-infrared band than the other bands; 2) Then, the water is extracted according to the characteristic of the water with the highest NDWI and the lowest NDVI; 3) Finally, the impermeable surface is extracted based on the fact that the impervious surface has a higher NDWI value and the lowest NDVI value than the soil.In order to test the accuracy of the rule algorithm, this paper uses the linear spectral mixed decomposition algorithm, the CART algorithm, the NDII index algorithm for extracting the impervious surface based on six remote sensing image of the Dianchi Lake Basin from 1999 to 2014. Then, the accuracy of the above three methods is compared with the accuracy of the rule algorithm by using the overall classification accuracy method. It is found that the extraction method based on the rule algorithm is obviously higher than the above three methods.

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