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Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network

ABSTRACTLand use/cover change is a major cause of ecological degradation. Reliable LUCC data are essential for evaluating habitat quality. The current method of surface cover classification based on the convolutional neural networks (CNNs) is usually a local spatial operation using a regular convolu...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Chunyang Wang, Kui Yang, Wei Yang, Runkui Li, Haiyang Qiang, Bibo Lu, Baishun Su, Zenan Yang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Taylor & Francis Group 2024-12-01
Schriftenreihe:International Journal of Digital Earth
Schlagworte:
Residual network
graph attention network
super-pixel segmentation
habitat quality
driving force analysis
Online-Zugang:https://www.tandfonline.com/doi/10.1080/17538947.2024.2306310
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