Predicting the non-agricultural conversion of cropland using a graph attention network based method : the case study of Wuhan, China

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (16.12.2025), art. no. 294, p. 1-2

Volume:

10.2025

Publication date:

16.12.2025

URN:

urn:nbn:de:0307-20260504-007-6

DOI:

10.5194/ica-abs-10-294-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 973,45 kB) : 1 Illustration, 1 Textdatei (PDF)

Keywords:

Cropland non-agriculturalization; Land use; Graph Attention Network; GAT; nichtlandwirtschaftliche Nutzung von Ackerland; Landnutzung^GND; aufmerksamkeitsbasiertes Graphennetzwerk

Geographic:

Wuhan^GND

Geographic coordinates:

114.266670 030.583330

OpenStreetMap

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-294-2025

URL:

https://ica-abs.copernicus.org/articles/10/294/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/294/2025/ica-abs-10-294-2025.pdf

Hosting institution:

Wuhan University (WHU) [CN]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Shiqi Wan, Lina Huang

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html