Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach

Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach

The study examines the complex dynamics of changes in LULC over three decades, focused on the years 1992, 2002, 2012, and 2022. The research highlights the significance of comprehending these alterations within the framework of environmental and socio-economic consequences. The changes in land use a...

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Bibliographic Details
Main Authors: Khadim Hussain, Kaleem Mehmood, Sun Yujun, Tariq Badshah, Shoaib Ahmad Anees, Fahad Shahzad, Nooruddin, Jamshid Ali, Muhammad Bilal
Format: Article
Language:English
Published: Taylor & Francis Group 2025-07-01
Series:Annals of GIS
Subjects:
LULC
MLP-NN
Rawalpindi mainland
land transition
future simulation
Online Access:https://www.tandfonline.com/doi/10.1080/19475683.2024.2343399
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