基于植被指数的藏北牧区土壤湿度反演
土壤湿度的遥感动态监测在农牧业生产中具有重要意义。近年来,多种基于遥感指数的土壤湿度监测方法被提出并得到广泛关注,但当前对不同深度土壤湿度的反演及植被指数反映土壤湿度滞后性的研究较少。该文针对遥感指数反演土壤湿度的精度问题,对MODIS（moderate resolutionimaging spectroradiometer）的2种植被指数产品归一化差异植被指数（normalized difference vegetation index,NDVI）和增强型植被指数（enhanced vegetation index,EVI）与土壤湿度实测值进行相关分析,并利用在其中一个样点得到相关系数最高的...
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| Published in | 农业工程学报 Vol. 32; no. 6; pp. 149 - 154 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
吉林农业大学资源与环境学院,长春,130118%吉林省商品粮基地土壤资源可持续利用重点实验室,长春,130118
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2016.06.020 |
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| Abstract | 土壤湿度的遥感动态监测在农牧业生产中具有重要意义。近年来,多种基于遥感指数的土壤湿度监测方法被提出并得到广泛关注,但当前对不同深度土壤湿度的反演及植被指数反映土壤湿度滞后性的研究较少。该文针对遥感指数反演土壤湿度的精度问题,对MODIS（moderate resolutionimaging spectroradiometer）的2种植被指数产品归一化差异植被指数（normalized difference vegetation index,NDVI）和增强型植被指数（enhanced vegetation index,EVI）与土壤湿度实测值进行相关分析,并利用在其中一个样点得到相关系数最高的回归模型对距离较远的其它点进行土壤湿度值估算,最后用土壤湿度实测值对模型的精度进行验证。结果表明,2种植被指数均与土壤湿度值呈现出较强的相关性,且利用植被指数估算土壤湿度的延迟天数为5～10 d。在相同气候模式、土壤类型和植被类型的条件下,高程为影响回归模型精度的主要因素。该研究可为牧区多层深度土壤湿度反演方法的选择和监测提供参考依据。 |
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| AbstractList | S127; 土壤湿度的遥感动态监测在农牧业生产中具有重要意义.近年来,多种基于遥感指数的土壤湿度监测方法被提出并得到广泛关注,但当前对不同深度土壤湿度的反演及植被指数反映土壤湿度滞后性的研究较少.该文针对遥感指数反演土壤湿度的精度问题,对MODIS(moderate resolutionimaging spectroradiometer)的2种植被指数产品归一化差异植被指数(normalized difference vegetation index,NDVI)和增强型植被指数(enhanced vegetation index,EVI)与土壤湿度实测值进行相关分析,并利用在其中一个样点得到相关系数最高的回归模型对距离较远的其它点进行土壤湿度值估算,最后用土壤湿度实测值对模型的精度进行验证.结果表明,2种植被指数均与土壤湿度值呈现出较强的相关性,且利用植被指数估算土壤湿度的延迟天数为5～10d.在相同气候模式、土壤类型和植被类型的条件下,高程为影响回归模型精度的主要因素.该研究可为牧区多层深度土壤湿度反演方法的选择和监测提供参考依据. 土壤湿度的遥感动态监测在农牧业生产中具有重要意义。近年来,多种基于遥感指数的土壤湿度监测方法被提出并得到广泛关注,但当前对不同深度土壤湿度的反演及植被指数反映土壤湿度滞后性的研究较少。该文针对遥感指数反演土壤湿度的精度问题,对MODIS（moderate resolutionimaging spectroradiometer）的2种植被指数产品归一化差异植被指数（normalized difference vegetation index,NDVI）和增强型植被指数（enhanced vegetation index,EVI）与土壤湿度实测值进行相关分析,并利用在其中一个样点得到相关系数最高的回归模型对距离较远的其它点进行土壤湿度值估算,最后用土壤湿度实测值对模型的精度进行验证。结果表明,2种植被指数均与土壤湿度值呈现出较强的相关性,且利用植被指数估算土壤湿度的延迟天数为5～10 d。在相同气候模式、土壤类型和植被类型的条件下,高程为影响回归模型精度的主要因素。该研究可为牧区多层深度土壤湿度反演方法的选择和监测提供参考依据。 |
| Author | 张月 王鸿斌 王一凡 韩兴 赵兰坡 |
| AuthorAffiliation | 吉林农业大学资源与环境学院,长春130118 吉林省商品粮基地土壤资源可持续利用重点实验室,长春130118 |
| AuthorAffiliation_xml | – name: 吉林农业大学资源与环境学院,长春,130118%吉林省商品粮基地土壤资源可持续利用重点实验室,长春,130118 |
| Author_FL | Zhao Lanpo Zhang Yue Wang Hongbin Han Xing Wang Yifan |
| Author_FL_xml | – sequence: 1 fullname: Zhang Yue – sequence: 2 fullname: Wang Hongbin – sequence: 3 fullname: Wang Yifan – sequence: 4 fullname: Han Xing – sequence: 5 fullname: Zhao Lanpo |
| Author_xml | – sequence: 1 fullname: 张月 王鸿斌 王一凡 韩兴 赵兰坡 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.11975/j.issn.1002-6819.2016.06.020 |
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| Discipline | Agriculture |
| DocumentTitleAlternate | Soil moisture inversion in pasture of northern Tibet based on vegetation index |
| DocumentTitle_FL | Soil moisture inversion in pasture of northern Tibet based on vegetation index |
| EndPage | 154 |
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| Issue | 6 |
| Keywords | soil moisture remote sensing 湿度 遥感 NDVI 土壤 correlation analysis 回归模型 regression model 相关分析 EVI 土壤湿度 humidity soils |
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| Notes | Dynamic monitoring of soil moisture by remote sensing can play a significant role in agricultural production. In recent years, continual attention has been focused on the thought that soil moisture information can be extracted by remote sensing indices. However, the majority of the studies on soil moisture estimation are applied without considering different depths and the time lag that vegetation index（VI） responds to soil moisture. This study investigated the potential of using the moderate resolution imaging spectroradiometer（MODIS） products, including normalized difference vegetation index（NDVI）and enhanced vegetation index（EVI）, to estimate soil moisture at distant in-situ measured sites.In this study, 30 sites were sampled under the same climatic setting, with the same soil type and the same vegetation type. The MOD13Q1 series data were selected to receive both NDVI and EVI products, which were 16-day composites with 250-meter spatial resolution. We alsoobtainedthe in-situ soil moisturedata that were me |
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| PublicationTitle | 农业工程学报 |
| PublicationTitleAlternate | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationTitle_FL | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationYear | 2016 |
| Publisher | 吉林农业大学资源与环境学院,长春,130118%吉林省商品粮基地土壤资源可持续利用重点实验室,长春,130118 |
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| Snippet | 土壤湿度的遥感动态监测在农牧业生产中具有重要意义。近年来,多种基于遥感指数的土壤湿度监测方法被提出并得到广泛关注,但当前对不同深度土壤湿度的反演及植被指数反映土壤... S127; 土壤湿度的遥感动态监测在农牧业生产中具有重要意义.近年来,多种基于遥感指数的土壤湿度监测方法被提出并得到广泛关注,但当前对不同深度土壤湿度的反演及植被指数反... |
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| SubjectTerms | EVI NDVI 回归模型 土壤 土壤湿度 湿度 相关分析 遥感 |
| Title | 基于植被指数的藏北牧区土壤湿度反演 |
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