A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China

Kaidi Xiao, Fengxia Gu, He Zhu

2024

Abstract

This study provides an empirical example of data mining on landuse changes in the Yellow River Basin using Geographic Information System (GIS). Time series of Landsat remote sensing images of 1980, 1990, 2000, 2010 and 2020 as well as ArcGIS software are used to calculate transfer matrixes of landuse changes and estimate the degree of land development to mine information on landuse changes over time and across space. Two points of key findings are outlined here. (1) The dominant class of landuse in the basin were grassland, followed by cultivated land. The cultivated land area showed an overall decreasing trend with a wave of first increasing and then decreasing over the study period. The areas of forest land, construction land, and grassland had increased, while the areas of water and unused land had decreased. (2) The overall level of land development in the basin was relatively high, but heterogeneity was also shown at different times and across space.

Paper Citation

in Harvard Style

Xiao K., Gu F. and Zhu H. (2024). A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China. In Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS; ISBN 978-989-758-715-3, SciTePress, pages 53-57. DOI: 10.5220/0012877100004536

in Bibtex Style

@conference{dmeis24,
author={Kaidi Xiao and Fengxia Gu and He Zhu},
title={A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China},
booktitle={Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS},
year={2024},
pages={53-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012877100004536},
isbn={978-989-758-715-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS
TI - A GIS-Based Data Mining of Landuse Changes in the Yellow River Basin, China
SN - 978-989-758-715-3
AU - Xiao K.
AU - Gu F.
AU - Zhu H.
PY - 2024
SP - 53
EP - 57
DO - 10.5220/0012877100004536
PB - SciTePress