| 海岸带潮滩土壤含水量遥感测量 |
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| 引用本文： | 张鹰,张东,胡平香.海岸带潮滩土壤含水量遥感测量[J].海洋学报,2008,30(5):29-34. |
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| 作者姓名： | 张鹰 张东 胡平香 |
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| 作者单位： | 1.南京师范大学地理科学学院, 江苏, 南京, 210097 |
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| 基金项目： | 国家自然科学基金，国家自然科学基金 |
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| 摘 要： | 出露潮滩上土壤含水量的遥感测量是潮间带地形地貌测量方法的一种新尝试,也是对潮滩生态环境深层次认知的一条途径。借鉴陆地土壤含水量遥感监测的经验,通过分析实测潮滩土壤含水量与其光谱值的关系,建立出露潮滩上土壤含水量遥感监测模型,并利用该模型对研究区影像的土壤含水量进行反演尝试。研究结果为:(1)潮滩土壤含水量与光谱反射率的关系,波段的相关系数以ETM+4的相关性最大;(2)从多元线性模型、单波段模型、比值模型、仿植被指数模型的应用比较看,对于潮滩土壤含水量的遥感反演模型选用单波段模型的误差最小。结果表明,通过遥感测量和监测模型的反演,可以迅速得到海岸潮间带露滩上土壤含水量分布。
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| 关 键 词： | 露滩 土壤含水量 遥感 |
| 收稿时间： | 2007/8/18 0:00:00 |
| 修稿时间： | 2008/7/23 0:00:00 |
Water content of soil on outcrop beach measured by remote sensing |
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| ZHANG Ying,ZHANG Dong and HU Ping-xiang.Water content of soil on outcrop beach measured by remote sensing[J].Acta Oceanologica Sinica (in Chinese),2008,30(5):29-34. |
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| Authors: | ZHANG Ying ZHANG Dong and HU Ping-xiang |
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| Affiliation: | 1.College of Geographic Science, Nanjing Normal University, Nanjing 210097, China2.Hexi Branch, Jinling High School, Nanjing 210012, China |
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| Abstract: | Remote sensing(RS)based soil moisture reversionis original and tentative fortopographical survey and analysis in exposed tidal flat where this area is strongly affected by tidal fluctuation. The spatial distribution of soil water content is also highly helpful fordeep level cognition and comprehension of the ecological environmentthere. So takingexperiences from land phase soil property research,a soil moisture reversion model was established based on the correlation analysis betweenin situ soil water contentand its relevant RS spectrum data using Landsat ETM+image in anintertidal flatarea near Wanggang Port,Jiangsu Province,China. And then the model was applied for soil moisture reversion with good precision. Results showed that:(1)spectral reflectance of ETM+Band 4 has the maximum correlation with soil moisture in tidal flat;and(2)compared with different models such as multivariate linear model, single band,band-ratio and pseudo-NDVI model,single band model has the minimumerror forsoil mois-ture reversion. It was indicated that the distribution of soil water content in the exposed intertidal flat could be quickly and conveniently obtained by the model when the appropriate RS image was available. |
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| Keywords: | exposed intertidal flat soil water content remote sensing |
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