新疆绿洲农区土壤盐渍化遥感监测方法的比较研究  

The Comparative Study of Remote Sensing Monitoring Methods of Soil Salinization in Oasis Agricultural Area of Xinjiang

作　　者：陈实[1] 徐斌[1] 金云翔[1] 黄银兰[1] 张文博[1] 郭剑[1] 申格 杨秀春[1] 

机构地区：[1]中国农业科学院农业资源与农业区划研究所农业部农业信息技术重点实验室,北京100081

出　　处：《绿洲农业科学与工程》2015年第1期36-41,共6页Oasis Agriculture Science and Engineering

基　　金：新疆生产建设兵团博士资金专项（2012BB001）、国家自然科学基金项目（41571105、31372354）资助

摘　　要：土壤盐渍化是制约绿洲农业可持续发展的重要因素之一。准确监测土壤盐渍化的程度和面积，可为绿洲农区土壤盐渍化防治提供科学信息支撑。本文利用Landsat-ETM＋影像和MODIS09A1产品数据，结合已有土壤盐渍化遥感指数监测土壤含盐量的方法．通过遥感波段数据挖掘出反映盐渍化的敏感信息，分别提出了SRI和NDSI两个监测土壤含盐量的遥感指数，依次与对应空间位置的实测土壤含盐量构建数学模型，研究表明：（1）基于NDVI构建的土壤含盐量监测模型在空间分辨率较高或是低空间分辨率覆盖范围广的遥感数据源中的拟合优度都较好；（2）构建的盐分响应指数SRI和归一化盐分指数NDSI监测土壤含盐量具有较好的效果，它们与实测土壤含盐量之间的拟合度均比SI、NDVI、GARI和CRSI所构建的监测模型精度高；（3）从数据源看，Landsat-ETM＋遥感数据适宜选用NDSI监测土壤含盐量，MODIS09A1遥感数据适宜采用SRI监测土壤含盐量。在未来土壤含盐量的遥感反演中可基于不同遥感数据源有针对性的选择适宜的遥感指数。Soil salinization is one of the important factors which restrict the sustainable development of oasis agriculture. Accurate monitoring of the area and degree of soil salinization can provide scientific information support for prevention and treatment of soil salinization in oasis agricultural area. In this paper, we used Landsat-ETM＋ images and MODIS09A1 product data, combining with the existing method of remote sensing index of soil salinization for monitoring soil salinity, then excavated the sensitive information which could reflect salinization through remote sensing spectrum data and proposed the remote sensing index SRI and NDSI respectively for monitoring soil salinity. Finally, the mathematical model was constructed in turn with the measured soil salinity of the corresponding spatial position. Research showed that ： （ 1 ） The goodness of fit of the soil salinity monitoring model of NDVI in remote sensing data sources of high spatial resolution and wide range of low spatial resolution were better. （2） The salt response index SRI and normalized salt index NDSI had a good effect for monitoring soil salinity, and the fitting degree between them and the measured soil salinity were higher than those of SI, NDVI, GARI and CRSI. （3） From the data source, about Landsat-ETM ＋ remote sensing data NDSI was suitable for monitoring soil salinity, and about MODIS09A1 remote sensing data SRI was suitable for monitoring soil salinity. In the future we can select the suitable remote sensing index based on different remote sensing data sources for remote sensing inversion of soil salinity.

关 键 词：盐渍化 遥感指数 遥感监测 绿洲农区 

分 类 号：S156.4[农业科学—土壤学]