SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction-Reference-Cited by-同舟云学术

SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Kakhani Nafiseh¹^ORCID,Rangzan Moien²^ORCID,Jamali Ali³^ORCID,Attarchi Sara²^ORCID,Kazem Alavipanah Seyed²^ORCID,Mommert Michael⁴^ORCID,Tziolas Nikolaos⁵^ORCID,Scholten Thomas¹

Affiliation:

1. Department of Geosciences, Soil Science and Geomorphology, CRC 1070 RessourceCultures, and DFG Cluster of Excellence Machine Learning, University of Tübingen, Tübingen, Germany

2. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

3. Department of Geography, Simon Fraser University, Burnaby, BC, Canada

4. Faculty of Geomatics, Computer Science and Mathematics, Stuttgart University of Applied Sciences, Stuttgart, Germany

5. Southwest Florida Research and Education Center, Department of Soil, Water, and Ecosystem Sciences, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10639449.pdf?arnumber=10639449

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