CAJ | 학술논문

以新疆渭干河库车河地区为研究区域，在野外调查采样的基础上，对土样进行实验室光谱测量并重采样与Aster波段相匹配，利用偏最小二乘回归建模方法建立了土壤盐渍化定量反演模型，其精度满足大区域的土壤盐渍化监测要求，表明该建模方法具有较好的普适性和稳定性。用10景Aster图像数据实现了该区域的土壤盐渍化定量反演与制图，反演的盐分分布与实地调查较为一致，为大面积区域性土壤盐渍化的遥感定量调查与监测提供了较为有效的技术方法。
이신강위간하고차하지구위연구구역，재야외조사채양적기출상，대토양진행실험실광보측량병중채양여Aster파단상필배，이용편최소이승회귀건모방법건립료토양염지화정량반연모형，기정도만족대구역적토양염지화감측요구，표명해건모방법구유교호적보괄성화은정성。용10경Aster도상수거실현료해구역적토양염지화정량반연여제도，반연적염분분포여실지조사교위일치，위대면적구역성토양염지화적요감정량조사여감측제공료교위유효적기술방법。
In this study , based on field investigation , chemical analysis and spectral measurements of saline soil samples collected from Weigan and Kuqa River Delta Oasis region were conducted in laboratory . The spectra of soil samples were resampled first to match Aster spectral resolution .Then the soil salinity retrieval model was established between soil salinity contents and spectra of soil samples using partial least squares regression (PLSR) method .The model was applied to 10 scenes Aster reflectance images to quantitatively map soil salinity in the region .The distribution map of soil salinity consistent well with field investigate .The result demonstrated that combining multispectral remote sensing data and PLSR method is a suitable technique for quantitative retrieve soil salinity in a large region .