Soil organic carbon stock prediction using multi-spatial resolutions of environmental variables: How well does the prediction match local references?-Reference-Cited by-同舟云学术

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Soil organic carbon stock prediction using multi-spatial resolutions of environmental variables: How well does the prediction match local references?

Published:2023-08 Issue: Volume:229 Page:107197
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Zeraatpisheh Mojtaba^ORCID,Galford Gillian L.^ORCID,White Alissa^ORCID,Noel Adam^ORCID,Darby Heather,Adair E. Carol

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference107 articles.

1. Importance and strength of environmental controllers of soil organic carbon changes with scale;Adhikari;Geoderma,2020

2. Erodibility of calcareous soils as influenced by land use and intrinsic soil properties in a semiarid region of central Iran;Ayoubi;Environ. Monit. Assess.,2018

3. Total carbon and nitrogen in the soils of the world;Batjes;Eur. J. Soil Sci.,1996

4. Multi-scale digital terrain analysis and feature selection for digital soil mapping;Behrens;Geoderma,2010

5. Measuring the quality of digital soil maps using information criteria;Bishop;Geoderma,2001

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A critical systematic review on spectral-based soil nutrient prediction using machine learning;Environmental Monitoring and Assessment;2024-07-04

2. Geospatial prediction of total soil carbon in European agricultural land based on deep learning;Science of The Total Environment;2024-02

3. Spatioemporal dynamics and driving forces of soil organic carbon changes in an arid coal mining area of China investigated based on remote sensing techniques;Ecological Indicators;2024-01

4. Prediction of Spatial Distribution of Soil Organic Carbon in Helan Farmland Based on Different Prediction Models;Land;2023-10-27

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