东南大学学报（自然科学版）2017，Vol.47Issue(6)：1233-1238,6.DOI:10.3969/j.issn.1001-0505.2017.06.024
基于光谱转换的土壤盐分反演与动态分析
Soil salinity retrieval and dynamic analysis based on spectral band inter-calibration
摘要
Abstract
Soil salinity quantitative retrieval were investigated based on four Landsat-5 TM (thematic mapper),EO-1 (earth observing-one),ALI (advanced land imager),Landsat-8OLI (operational land imager) time series images and hyper-spectral Hyperion data from 2000 to 2016 for long-term and extensive soil salinity monitoring over the Yellow River Delta.The Hyperion data were resampied to simulate TM,ALI,OLI data according to the corresponding spectral response functions,respectively.The spectral band inter-calibration coefficients were calculated from homologous TM,ALI and OLI bands by the statistical regression method.Then,the TM,ALI images were transformed into the OLI time series images.The PLSR (partial least square regression) model and the MLR (multiple linear regression) model were used to quantify the relationships between the soil spectra and the soil salinity parameters.The optimal predictive model was applied to OLI time series images to map soil salinity.The temporal variations in soil salinity were detected by overlay analysis.The results show that the band inter-calibration method improves the consistency of the multi-senor data.The PLSR-EC (electrical conductivity) model exhibits a correlation of 0.700 and the model validation yields a correlation of 0.690 with the soil samples collected in 2012.High salinity soil in the range of research area reduces and converts to low salinity soil.关键词
盐渍土/黄河三角洲/光谱转换/偏最小二乘回归/动态分析Key words
saline soil/Yellow River Delta/spectral band inter-calibration/partial linear square regression PLSR)/dynamic analysis分类
信息技术与安全科学引用本文复制引用
陈文娇,翁永玲,范兴旺,曹一茹..基于光谱转换的土壤盐分反演与动态分析[J].东南大学学报（自然科学版）,2017,47(6):1233-1238,6.基金项目
国家自然科学基金资助项目(41471352). （41471352）
