Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain

Landscape Character Classification with a Deep Neural Network: A Case Study of the Jianghan Plain

Grounded in the theoretical and methodological frameworks of landscape character identification from the European Landscape Map (LANMAP) and landscape character assessment (LCA), this study developed an AI-based tool for landscape character analysis to classify the Jianghan Plain’s landscape more ef...

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Bibliographic Details
Main Authors: Wenke Qin, Wenpeng Li, Zhuohao Zhang, Weiya Chen, Min Wan
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Land
Subjects:
landscape character assessment
European landscape map
deep learning
Jianghan Plain
Online Access:https://www.mdpi.com/2073-445X/13/12/2024
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