@Article{iasc.2023.039057,
AUTHOR = {Chao Chen, Yankun Chen, Haohai Jin, Li Chen, Zhisong Liu, Haozhe Sun, Junchi Hong, Haonan Wang, Shiyu Fang, Xin Zhang},
TITLE = {3D Model Construction and Ecological Environment Investigation on a Regional Scale Using UAV Remote Sensing},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {37},
YEAR = {2023},
NUMBER = {2},
PAGES = {1655--1672},
URL = {http://www.techscience.com/iasc/v37n2/53232},
ISSN = {2326-005X},
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.},
DOI = {10.32604/iasc.2023.039057}
}