Predicting Soil Carbon Pools in Central Iran Using Random Forest: Drivers and Uncertainty Analysis
Accurate spatial prediction of soil organic carbon (SOC) and soil inorganic carbon (SIC) is vital for land management decisions. This study targets SOC/SIC mapping challenges at the watershed scale in central Iran by addressi... | Find, read and cite all the research you need on Tech Science Press
Authors
- Seyed Roohollah Mousavi (ORCID: https://orcid.org/0000-0002-7420-3746)
- Mojgan Entezari
- Shohreh Moradpour
- Abdolhossein Ayoubi (ORCID: https://orcid.org/0000-0001-8139-3579)
- Zhao Shuai
Publication Details
- Journal
- Revue internationale de géomatique
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/rig.2025.069538
- Primary Topic
- Soil Geostatistics and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00