Fine-Grained Abandoned Cropland Mapping in Southern China Using Pixel Attention Contrastive Learning-Reference-Cited by-同舟云学术

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Fine-Grained Abandoned Cropland Mapping in Southern China Using Pixel Attention Contrastive Learning

Published:2024 Issue: Volume:17 Page:2283-2295
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Haoyang¹^ORCID,Lin Haomei²,Luo Junshen²^ORCID,Wang Teng³^ORCID,Chen Hao³,Xu Qiuting³,Zhang Xinchang⁴^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

3. Guangdong Department of Land and Resources, Institute of Surveying and Mapping, Guangzhou, China

4. School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10336895.pdf?arnumber=10336895

Reference80 articles.

1. Space–time process and drivers of land abandonment in Europe

2. Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response

3. Ageing threatens sustainability of smallholder farming in China

4. Farmland abandonment: threat or opportunity for biodiversity conservation? A global review

5. Alternative trajectories of land abandonment: causes, consequences and research challenges

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