摘要
以吉林省西部盐碱土及其光谱反射率为研究对象，采用一阶微分、去包络线方法建立各种土壤光谱指数，分析并确定反映盐碱化程度的最佳波段与土壤光谱指数，建立盐碱化土壤参数的高光谱定量模型用于评价土壤盐碱化程度，结果表明：盐碱土在400～2500nm的范围内主要有五个明显的吸收谷，碱斑土壤由于富含盐分在五个吸收谷范围的吸收特征均显著强于其他土壤；不同地域土壤属性间相关关系存在共性，pH值与电导率正相关，二者都与有机质负相关；微分、去包络线方法得到的光谱指数与土壤参数的相关系数显著优于反射率，去包络线方法得到的土壤光谱指数普适性更强；基于土壤光谱指数的高光谱模型可以准确预测盐碱土pH值，可以用于土壤的盐碱化程度评价。
The hyperspectral reflectance and soil parameters （organic matter, pH, electrical conductivity（EC） ） of saline soils in the west of Jilin province were measured and studied. The first derivate and continuum removal methods were introduced to build soil spectral indices, and the relationship between soil parameters and spectral indices was analyzed to make certain the best spectral bands and spectral indices which could uncover the degree of soil salinity. Then the hyperspectral models were built to evaluate soll saline-alkalization level. The results are as follows： saline soil has five apparent absorption vales in the spectral domain between 400 and 2500nm, and the five vales of vegetation-uncovered saline soil are much larger than the others＇ because of higher salt content; the correlation between soil parameters of saline soils in different places has the commonness of positive relationship between pH and EC, both of which negatively correlates with OM ; the correlation between soil parameters and spectral indices derived from the first derivate and continuum removal methods is much more significant than that between soil parameters and reflectance, and the indices derived from continuum removal can be used more widely. The hyperspectral models based on soil spectral indices can be used to predict pH values of saline soil and evaluate the degree of soil salinity.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2008年第2期138-142,共5页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金(40401003)
长春市科技计划项目“长春市农安县盐碱化土地遥感监测技术”
中科院东北地理与农业生态研究所学科前沿领域项目(KZCX3-SW-NA3-03)
关键词
遥感
盐碱土
PH
电导率
高光谱
remote sensing
saline soil
pH
electrical conductivity
hyperspectra
