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专刊信息 土壤有机碳（SOC）是土壤健康的重要组成部分，影响土壤肥力、结构及其固碳能力，对减缓气候变化具有重大影响。准确估算和监测 SOC 对于可持续土地管理和农业实践至关重要。然而，传统的 SOC 评估方法可能是劳动密集型且成本高昂。遥感 (RS) 技术的进步，包括可见近红外 (VNIR) 和中红外 (MIR) 光谱等近端传感技术，与人工智能 (AI) 和机器学习 (ML) 相结合，为低成本、大规模的 SOC 估算和监测提供了新的机遇。 Soil organic carbon (SOC) is a critical component of soil health, influencing soil fertility, structure, and its ability to sequester carbon, which has significant implications for climate change mitigation. Accurate estimation and monitoring of SOC are essential for sustainable land management and agricultural practices. However, traditional methods of SOC assessment can be labor-intensive and costly. Advances in remote sensi
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