Study on Mountain Space in Mount Tai Region Based on GIS Spatial Data Analysis

A comprehensive analysis of Mount Taishan's mountain space, leveraging advanced GIS and remote sensing technologies, reveals significant insights for landscape planning. The study identifies critical spatial patterns, including road networks, water systems, and the sensitivity of hogback mountains in the region, using SPOT satellite imagery and big data analytics. These findings establish a robust geographic information database that enhances decision-making for future landscape, forest, lake, field, grassland, and community development. This approach not only improves the scientificity and feasibility of spatial planning but also provides essential data support for sustainable development in the Mount Tai region.

Liu, C., Wang, F., Wang, W., Zhang, Q., & Zhang, L. (2021). Study on Mountain Space in Mount Tai Region Based on GIS Spatial Data Analysis. 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), 400–403. https://doi.org/10.1109/tocs53301.2021.9689009