Forest Land Surface Area Computation in Jing-Jin-Ji region based on DEM

DOI

10.2991/978-94-6463-102-9_75How to use a DOI?

Keywords

GIS; Forest land surface area; DEM; Terrain feature points; Irregular triangle net; Jing-Jin-Ji

Abstract

With increasing attention to environmental protection, forests, as the main body of terrestrial ecosystems, have increasingly become the focus of environmental engineering research. In order to improve the effectiveness of forestry engineering construction, the use of remote sensing technology to cover the area with the characteristics of comprehensive and immediate acquisition of change information, and accurate statistics of forest resources, make full use of the technical advantages of GIS technology such as spatial data analysis and integration in comprehensive application. The calculation of forest surface area based on DEM data has the advantages of high precision, short cycle and low cost. It is the future of forestry engineering and urban construction. The commonly used method of replacing the ground surface with a projection surface ignores the influence of the surface slope change on the area. This paper takes the Jing-Jin-Ji region as an example, extracts topographic information based on DEM data, uses topographic feature points to construct irregular triangulations, performs area statistics, and finally compares and analyzes the projected area obtained from remote sensing image interpretation data, 2.03% of the forest land surface area. The surface area calculation method used in this paper can make forest land resources more accurate statistics.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shilun Kang
AU  - Qian Li
AU  - Mianmian Cheng
AU  - Yaxin Zhai
AU  - Yilan Lou
PY  - 2022
DA  - 2022/12/29
TI  - Forest Land Surface Area Computation in Jing-Jin-Ji region based on DEM
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 736
EP  - 746
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_75
DO  - 10.2991/978-94-6463-102-9_75
ID  - Kang2022
ER  -