[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2795":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":50},2795,"Statistical evaluation of sentinel-2 spectral indices as environmental indicators of shallow soil resistivity for soil corrosion assessment in a semi-arid region of northwestern Nigeria","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44288-026-00732-x","Abstract Soil corrosion poses a significant threat to buried engineering infrastructure, particularly in semi-arid environments where variations in soil properties and surface environmental conditions influence electrochemical processes. This study integrated Sentinel-2-derived environmental indices with shallow-layer electrical resistivity and soil pH measurements to evaluate environmental factors associated with soil corrosion susceptibility in Sabon Gida, Katsina State, northwestern Nigeria. Sentinel-2 Level-2 A imagery acquired during the 2026 dry season was processed to derive the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Bare Soil Index (BSI), and Salinity Index (SI). Spectral index values were extracted at 44 Vertical Electrical Sounding (VES) locations, where shallow-layer resistivity and soil pH data were available. Descriptive statistics, Pearson correlation analysis, and multiple linear regression were employed to investigate the relationships between the remotely sensed environmental variables and field-measured soil properties. The results indicate that the study area is characterized by sparse vegetation cover, low surface moisture, limited bare-soil exposure, and relatively higher salinity-index values that may indicate spatial variations in salinity-related environmental conditions during the dry-season image acquisition period. Strong correlations were observed among the Sentinel-2-derived indices, whereas only weak relationships were found between the spectral indices and shallow-layer resistivity. Multiple linear regression analysis yielded an R² value of 0.197, indicating that approximately 19.7% of the variation in soil resistivity was explained by the model. Although the salinity index was identified as the only statistically significant predictor, the overall regression model was not statistically significant (F = 1.867, p = 0.123). These findings suggest that the remotely sensed variables provide only limited explanatory power with respect to shallow soil resistivity. Nevertheless, the results indicate that Sentinel-2-derived environmental indices provide useful information for characterizing surface environmental conditions associated with soil corrosion but should be used as complementary indicators rather than direct substitutes for field-based geophysical investigations. The study demonstrates that integrating remote sensing with geophysical measurements provides a more robust framework for preliminary soil corrosion susceptibility assessment and offers valuable support for infrastructure planning and environmental monitoring in data-scarce semi-arid regions.","摘要 土壤腐蚀对埋地工程基础设施构成重大威胁，尤其是在半干旱环境中，土壤性质与地表环境条件的变化会影响电化学过程。本研究将Sentinel-2衍生的环境指数与浅层电阻率及土壤pH测量相结合，评估尼日利亚西北部卡齐纳州Sabon Gida地区与土壤腐蚀敏感性相关的环境因素。研究处理了2026年旱季获取的Sentinel-2 Level-2A影像，以提取归一化差异植被指数（NDVI）、归一化差异水体指数（NDWI）、裸土指数（BSI）和盐分指数（SI）。在44个垂直电测深（VES）点位提取了光谱指数值，这些点位具备浅层电阻率和土壤pH数据。研究采用描述性统计、Pearson相关分析和多元线性回归，探讨遥感环境变量与实地测量土壤性质之间的关系。结果表明，研究区植被覆盖稀疏、地表湿度较低、裸土暴露有限，且盐分指数值相对较高，这可能指示旱季影像获取期间盐分相关环境条件的空间变化。Sentinel-2衍生的各指数之间观察到较强相关性，而光谱指数与浅层电阻率之间仅存在弱关系。多元线性回归分析得出R²值为0.197，表明模型可解释约19.7%的土壤电阻率变异。尽管盐分指数被识别为唯一具有统计学意义的预测因子，但整体回归模型未达到统计学显著性（F = 1.867，p = 0.123）。这些发现表明，遥感变量对浅层土壤电阻率的解释力有限。然而，结果也显示Sentinel-2衍生的环境指数可为表征与土壤腐蚀相关的地表环境条件提供有用信息，但应作为补充性指标，而非实地地球物理调查的直接替代。本研究表明，将遥感与地球物理测量相结合可提供更稳健的框架",null,"Discover Geoscience","2026-09-16T00:00:00Z","论文",10,false,61,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,14,12,9,1,"该研究将Sentinel-2遥感指数与土壤电阻率结合评估土壤腐蚀风险，方法有创新但解释力有限，对农业基础设施规划有参考价值，属细分领域进展。",[25],{"name":10,"url":6},[27,28,29,30,31],"Sentinel-2","遥感","土壤监测","土壤腐蚀","半干旱农业",0,"10.1007\u002Fs44288-026-00732-x",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":42,"card":43,"direction":47,"ingested_from":49},"W7213365338",[37,40],{"name":38,"orcid":39},"Abdulhakim Ahmad","https:\u002F\u002Forcid.org\u002F0009-0004-1030-8313",{"name":41,"orcid":9},"A. F. Akpaneno","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44288-026-00732-x.pdf",{"tldr":44,"method":45,"finding":46,"direction":47,"opportunity":48},"用Sentinel-2光谱指数与电法电阻率、pH对比，评估尼日利亚半干旱区土壤腐蚀环境指示能力。","Sentinel-2 L2A影像提取NDVI、NDWI、BSI、SI，结合44个","光谱指数与浅层电阻率仅弱相关，回归R²=0.197且不显著，遥感只能作辅助指标。","农业遥感与作物表型","可引入多时相\u002F土壤水分与纹理特征，或结合机器学习提升遥感对地下土壤腐蚀属性的间接反演能力。","openalex","2026-09-17T23:30:36.379942Z"]