Research on Land Use Change Prediction in Harbin Based on PLUS Model

This study simulates and predicts land use changes in Harbin urban area in 2029 based on the PLUS model. Using two periods of Landsat8 OLI remote sensing image data in 2015 and 2022, change analysis of land use types is carried out. Fourteen driving factors such as natural and human factors are selected for driving force analysis, and the land use distribution of Harbin in 2029 is predicted. The research results show that the land use pattern of Harbin in 2029 presents "five parts of cultivated land, four parts of forest land, and half part of construction land". Urban expansion will mainly be concentrated around the main urban area. This study provides data reference and scientific basis for land use resource planning and natural ecological environment protection of Harbin.

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Publication Details

Journal
Journal of life sciences and agriculture.
Published
2024-12-01
DOI
https://doi.org/10.62517/jlsa.202407410
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
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article

Research on Land Use Change Prediction in Harbin Based on PLUS Model

Ying Lu, Yini Han, Wang Ai-min
Journal of life sciences and agriculture.
Remote Sensing and Land Use
article

Research on Land Use Change Prediction in Harbin Based on PLUS Model

Ying Lu, Yini Han, Wang Ai-min
article en

Abstract

This study simulates and predicts land use changes in Harbin urban area in 2029 based on the PLUS model. Using two periods of Landsat8 OLI remote sensing image data in 2015 and 2022, change analysis of land use types is carried out. Fourteen driving factors such as natural and human factors are selected for driving force analysis, and the land use distribution of Harbin in 2029 is predicted. The research results show that the land use pattern of Harbin in 2029 presents "five parts of cultivated land, four parts of forest land, and half part of construction land". Urban expansion will mainly be concentrated around the main urban area. This study provides data reference and scientific basis for land use resource planning and natural ecological environment protection of Harbin.

Journal of life sciences and agriculture.Vol. 1(4)
Heilongjiang University of Technology (CN)
Openalex Percentile: Top 70%
Remote Sensing and Land Use
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