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Novel deep learning algorithm in soil erodibility factor predicting at a continental scale

Ataollah Shirzadi Himan Shahabi Maryam Rahimzad Aryan Salvati Abolfazl Jaafari Victoria Kress Panos Panagos

国际水土保持研究(英文)Issue(1):300-321,22.
国际水土保持研究(英文)Issue(1):300-321,22.DOI:10.1016/j.iswcr.2025.09.008

Novel deep learning algorithm in soil erodibility factor predicting at a continental scale

Novel deep learning algorithm in soil erodibility factor predicting at a continental scale

Ataollah Shirzadi 1Himan Shahabi 2Maryam Rahimzad 3Aryan Salvati 4Abolfazl Jaafari 5Victoria Kress 6Panos Panagos7

作者信息

  • 1. Department of Rangeland and Watershed Management,Faculty of Natural Resources,University of Kurdistan,Sanandaj,Iran
  • 2. Department of Geomorphology,Faculty of Natural Resources,University of Kurdistan,Sanandaj,Iran
  • 3. Center Eau Terre Environnement,Institut National de la Recherche Scientifique(INRS),Quebec City,QC,G1K 9A9,Canada||Ottawa Research and Development Centre,Agriculture and Agri-Food Canada,960 Carling Avenue Ottawa,ON,K1A0C6,Canada
  • 4. Department of Arid and Mountainous Regions Reclamation,Faculty of Natural Resources,University of Tehran,Karaj,Iran
  • 5. Research Institute of Forests and Rangelands,Agricultural Research,Education and Extension Organization(AREEO),Tehran,Iran
  • 6. Ministry of Forests,British Columbia,Canada
  • 7. European Commission,Joint Research Centre(JRC),Ispra,Italy
  • 折叠

摘要

关键词

Soil erodibility/Land management/Sustainable development/Agricultural productivity/Machine learning

Key words

Soil erodibility/Land management/Sustainable development/Agricultural productivity/Machine learning

引用本文复制引用

Ataollah Shirzadi,Himan Shahabi,Maryam Rahimzad,Aryan Salvati,Abolfazl Jaafari,Victoria Kress,Panos Panagos..Novel deep learning algorithm in soil erodibility factor predicting at a continental scale[J].国际水土保持研究(英文),2026,(1):300-321,22.

基金项目

The LUCAS Survey is coordinated by Unit E4 of the Statistical Office of the European Union(EUROSTAT).The collection of LUCAS soil samples and subsequent laboratory analyses are supported by the Directorate-General for Agriculture and Rural Development(DG-AGRI),the Directorate-General for Climate Action(DG-CLIMA),and the Directorate-General for Environment(DG-ENV).This research was funded by the University of Kurdistan,Iran(Grant Nos.02-09-18977 and 02-09-10394).The authors would also like to express their sincere gratitude to Dr.Marten Geertsema for editing and revising the English language of the initial manu-script version. (EUROSTAT)

国际水土保持研究(英文)

2095-6339

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