A High-Resolution Inversion Framework for Cropland Soil Organic Carbon Estimation Using an Ensemble Machine-Learning Approach

Cropland soil organic carbon (SOC) is a critical soil component governing soil fertility, agricultural productivity, food security, climate change mitigation, and ecosystem health via carbon biogeochemical cycling. Conventional soil sampling features low spatial density and infrequent updates, makin...

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Detalhes bibliográficos

Principais autores:	Zhaoxu Zhang, Yuchen Qiu, Sijia Du, Dan Wan, Yuanheng Sun, Haitao Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Cropland ensemble machine learning (ML) SHapley Additive exPlanations (SHAP) soil organic carbon (SOC) stacking ensemble
Acesso em linha:	https://ieeexplore.ieee.org/document/11538025/
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