稀疏植被覆盖条件下土壤盐渍化高光谱遥感定量反演与动态监测

项目名称： 稀疏植被覆盖条件下土壤盐渍化高光谱遥感定量反演与动态监测

项目编号： No.41471352

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 天文学、地球科学

项目作者： 翁永玲

作者单位： 东南大学

项目金额： 82万元

中文摘要： 以黄河三角洲为研究区，以区域稀疏植被覆盖下亚像元尺度上的土壤盐渍化信息星载高光谱遥感定量反演及动态监测的研究为目标。研究盐渍土、盐生植被、棉花等的光谱特征及受盐分影响的弱信号提取和定量描述技术；研究不同的植被覆盖类型及覆盖度对土壤盐分反演精度的影响；建立综合植被和土壤光谱特征的土壤盐分含量定量反演模型；针对地表裸土、盐生植被、农作物混合分布的特点，开发基于Hyperion和ALI图像数据的多端元光谱混合分解算法，剔除植被信息，反求土壤反射率光谱图像，结合基于土壤光谱数据的土壤盐分含量的定量反演模型，实现亚像元尺度上点-面空间尺度转换的稀疏植被覆盖下区域土壤盐渍化高光谱遥感定量反演及空间分布的制图,动态监测及时空分布规律分析。通过本项目的研究解决稀疏植被覆盖下土壤盐分遥感定量反演中面临的科学问题，扩大盐渍土监测研究中的遥感图像数据采集的时间窗口，提高区域盐渍化监测的精度及应用效果。

中文关键词： 土壤盐渍化；高光谱遥感；混合像元分解；多端元光谱混合分析

英文摘要： In this research, the typical soil salinization area in Yellow river delta was selected as research area and aims to estimate and dynamic monitoring the soil salinity at partially vegetated fields, using hyperspectral remote sensing method. In this case, we will explore the soil spectral features, salt-tolerant vegetation and corps. And extract these quantified features to build a data base. Quantify the influence of fractional vegetation cover on the accuracy of soil salinity prediction model. Combine the spectral response index for bare soil and vegetation to establish a model to mapping soil salinity. Which is able to improve the salinity prediction model. According to the distribution feature of bare soil, salt-tolerant vegetation and corps on study area, we will develop a spectral unmixing and multiple endmember spectral mixture analysis methods. In the next step the influence of vegetation will be filtered out from the spectral signal by a new procedure. The residual soil spectral resulting from this procedure will used for mapping soil salinity by soil salinity prediction model build with soil reflectance. With this approach, it is possible to filter out the influence of vegetation from mixed spectra, and realize the goal of estimate and dynamic monitoring the soil salinity on partially vegetated fields, at the sub pixel level using hyperspectral remote sensing method. This research can improve the applicability of spaceborne imaging spectroscopy for soil studies, since the approach can extend the flight-window which is often constrained by presence of vegetation.

英文关键词： Soil salinity;Hyperspectral remote sensing;spectral unmixing;Multiple endmember spectral mixture analysis