Trends in soil organic carbon prediction research using geospatial technologies and artificial intelligence: an exploratory bibliometric analysis (2005-2025)
用文献计量分析2005-2025年地理空间技术与AI预测土壤有机碳的研究趋势。
← 主题
#数字土壤制图
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。
Soil phenotyping: Integrating phenosoils and proximal soil sensing for spatiotemporal characterisation of managed soil variability
提出土壤表型组框架，用近端传感量化管理导致的土壤时空变异。
Spatial prediction of soil organic carbon stocks in Sudanese clay soils using regression kriging
用回归克里金结合多源环境协变量预测苏丹青尼罗河粘土区土壤有机碳储量。