GIS-Based Land Cover Analysis and Prediction Based on Open-Source Software and Data

Quaestiones Geographicae

article

Wojciech Dawid¹  Elżbieta Bielecka¹ 

[1] Faculty of Civil Engineering and Geodesy, Military University of Technology

关键词: land cover change;    prediction;    MOLUSCE;    CA-ANN;    open data;   

DOI  :  10.2478/quageo-2022-0026

学科分类：医学（综合）

来源: Walter de Gruyter GmbH

【 摘 要 】

The study aims at land cover prediction based on cellular automata and artificial neural network (CA-ANN) method implemented in the Methods Of Land Use Change Evaluation (MOLUSCE) tool. The Tricity region and the neighbouring counties of Gdański and Kartuzy were taken as the research areas, and coordination of information on the environment (CORINE Land Cover, CLC, CLMS 2022) data for 2006, 2012 and 2018 were used to analyse, simulate and predict land cover for 2024, the next reference year of the CORINE inventory. The results revealed an increase in artificial surfaces, with the highest value during the period 2006–2012 (86.56 km2). In total, during the period 2006–2018, the growth in urbanised area amounted to 95.37 km2. The 2024 prediction showed that artificial surfaces increased by 9.19 km2, resulting in a decline in agricultural land.

【 授权许可】

CC BY