Knowledge Resource Center for Ecological Environment in Arid Area
| 基于GF -1土壤含盐量的估测研究 | |
| 其他题名 | Estimation of soil salt content based on GF - 1 |
| 马驰 | |
| 来源期刊 | 干旱区资源与环境
 |
| ISSN | 1003-7578 |
| 出版年 | 2017 |
| 卷号 | 31期号:7页码:85-90 |
| 中文摘要 | 土地盐碱化严重威胁着干旱、半干旱地区的稳定与可持续发展,因此利用遥感技术快速、准确估测土壤含盐量并及时掌握其空间分布具有重要的现实意义。以GF - 1遥感影像为数据源,大庆市为研究对象,结合实地采样的土壤含盐量化验数据,探讨了土壤含盐量快速、准确的估测方法。研究表明: GF - 1遥感影像的4个波段反射率与土壤含盐量存在显著的正相关性,且在第4波段达到峰值;反射率经过适当的数学变换可以有效提高与土壤含盐量的相关性,且反射率的指数变换与土壤含盐量的相关性最好,相关系数达到r = 0.881;以第1波段反射率指数、第4波段反射率倒数的对数、第4波段反射率倒数建立的多元估测模型具有较高的估测精度与稳定性。研究结果充分说明利用GF - 1遥感影像估测土壤含盐量是一种可行、精确、快速的方法,对于今后大区域土地盐碱化信息的快速提取及动态监测具有指导意义。 |
| 英文摘要 | The salinization of soil seriously affects the stability and sustainable development in arid and semiarid areas,so it is very important to accurately and quickly evaluate the salinity in soil as well as grasp its space distribution by using remote sensing technique. With GF - 1 remote sensing image as the data source and Daqing City as the subject to be investigate,we have discussed the method for evaluating the salinity of soil quickly and accurately according to the practical data about the salinity collected by sampling. The survey shows that there is a obvious positive correlation between the reflectivity of the 4 wave bands in GF - 1 remote sensing image and the salinity of soil,and there is a best correlation between the exponential transform of reflectivity and the salinity, whose correlation coefficient is up to 0.881; the diversified evaluating model have great accuracy and stability to evaluate,which is established by the exponent of the reflectivity in the first wave band,the logarithm against the reciprocal of the reflectivity in the fourth wave band and the reciprocal of the reflectivity in the fourth wave band. The results of this survey can speak volumes for the idea that it is a practicable,accurate and quick way to evaluate the salinity of soil by using GF - 1 remote sensing image,which will work as a guider for quickly gathering and dynamically monitoring the information about large - area salinity of soil in the future. |
| 中文关键词 | 遥感 ; 土壤含盐量 ; 估测 ; 回归模型 ; 大庆市 ; 高分一号 |
| 英文关键词 | remote sensing soil salt content estimation regression model Daqing City GF - 1 |
| 类型 | Article |
| 语种 | 中文 |
| 国家 | 中国 |
| 收录类别 | CSCD |
| WOS类目 | Agriculture |
| WOS研究方向 | Agriculture |
| CSCD记录号 | CSCD:6005446 |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/236073 |
| 作者单位 | 马驰, 辽宁省交通高等专科学校, 沈阳, 辽宁 110122, 中国. |
| 推荐引用方式 GB/T 7714 | 马驰. 基于GF -1土壤含盐量的估测研究[J],2017,31(7):85-90. |
| APA | 马驰.(2017).基于GF -1土壤含盐量的估测研究.干旱区资源与环境,31(7),85-90. |
| MLA | 马驰."基于GF -1土壤含盐量的估测研究".干旱区资源与环境 31.7(2017):85-90. |
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