Spatial Modeling of Topsoil Total Carbon and Texture from Spectral Characteristics of Bare Soil Surface Images of Landsat 5/8 Using Machine Learning
用Landsat 5/8裸土光谱指数识别裸土并机器学习建模表层土壤质地与全碳。
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#土壤碳
Zenodo (CERN European Organization for Nuclear Research)·9月10日 · 周四84 分 论文设施园艺与植物工厂农业遥感与作物表型2 个信源同时报道 阅读 1
National Carbon Stock and Greenhouse Gas Baseline Assessment for Liberia: Integrating Forest, Blue Carbon, Soil Carbon, and Sectoral Emissions
整合森林、蓝碳、土壤碳与部门排放，完成利比里亚国家碳储量与温室气体基线评估。
Machine-Learning Surrogate Modeling of SOC and N2O Responses to Diversified Crop Rotations in the Texas High Plains
用机器学习代理模型预测多样化轮作对SOC和N2O的影响，识别气候智能管理区域。