Open Access

ARTICLE

3D Model Construction and Ecological Environment Investigation on a Regional Scale Using UAV Remote Sensing

Chao Chen^1,2, Yankun Chen³, Haohai Jin⁴, Li Chen^5,*, Zhisong Liu³, Haozhe Sun⁴, Junchi Hong⁴, Haonan Wang⁴, Shiyu Fang⁴, Xin Zhang²

1 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China
2 State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, 100101, China
3 School of Information Engineering, Zhejiang Ocean University, Zhoushan, 316022, China
4 Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, 316022, China
5 China Aero Geophysical and Remote Sensing Center for Natural Resources, Beijing, 100083, China

* Corresponding Author: Li Chen. Email:

(This article belongs to the Special Issue: Smart digital education and scientific programming)

Intelligent Automation & Soft Computing 2023, 37(2), 1655-1672. https://doi.org/10.32604/iasc.2023.039057

Received 09 January 2023; Accepted 12 April 2023; Issue published 21 June 2023

Abstract

The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture, spatial resolution, and multiple parameter categories, which is challenging to achieve using satellite remote sensing. Considering the convenient, facilitative, and flexible characteristics of UAV (unmanned air vehicle) remote sensing technology, this study selects a campus as a typical research area and uses the Pegasus D2000 equipped with a D-MSPC2000 multi-spectral camera and a CAM3000 aerial camera to acquire oblique images and multi-spectral data. Using professional software, including Context Capture, ENVI, and ArcGIS, a 3D (three-dimensional) campus model, a digital orthophoto map, and multi-spectral remote sensing map drawing are realized, and the geometric accuracy of typical feature selection is evaluated. Based on a quantitative remote sensing model, the campus ecological environment assessment is performed from the perspectives of vegetation and water body. The results presented in this study could be of great significance to the scientific management and sustainable development of regional natural resources.

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Keywords

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