基于Sentinel-2数据土壤表层水分遥感反演

doi:10.3969/j.issn.2096-1197.2018.06.23

北方农业学报 ›› 2018, Vol. 46 ›› Issue (6): 120-124.doi: 10.3969/j.issn.2096-1197.2018.06.23

基于Sentinel-2数据土壤表层水分遥感反演

于利峰[1];乌云德吉[1];乌兰吐雅[1];闫庆琦[2];刘文兵[3];包珺玮[1];许洪滔[1];任婷婷[1];于伟卓[1]

[1]内蒙古农牧业科学院/内蒙古农业遥感工程技术研究中心,内蒙古呼和浩特010031;[2]科尔沁右翼前旗农业科学研究所,内蒙古科尔沁137423;[3]科尔沁右翼前旗农业技术推广中心,内蒙古科尔沁137423

收稿日期:2018-09-10 出版日期:2018-08-19 发布日期:2019-08-19
作者简介:于利峰(1994—),男,学士,主要从事农业遥感应用与研究工作。
基金资助:
内蒙古农牧业科学院青年创新基金(2017QNJJN10).

Remote sensing inversion of soil surface moisture based on Sentinel-2 data

YU Lifeng[1];Wuyundeji[1];Wulantuya[1];YAN Qingqi[2];LIU Wenbing[3];BAO Junwei[1];XU Hongtao[1];REN Tingting[1];YU Weizhuo[1]

[1]Inner Mongolia Academy of Agricultual&Animal Husbandry Sciences,Inner Mongolia Engineering and Technology Research Center for Agricultural Remote SensingHohhot 010031,China;[2]Institute of Agricultural Scienceof Horqin Youyi Front Banner,Horqin 137423,China;;[3]Agricultural Technology Extension Center of Horqin Youyi Front Banner,Horqin 137423,China

Received:2018-09-10 Online:2018-08-19 Published:2019-08-19

摘要/Abstract

摘要： 文章基于土壤表层水分指数(SWCI)模型,将Sentinel-2数据应用于该模型,得到了土壤水分含量及其空间分布情况,该数据可用于精准快速的低植被覆盖下土壤水分遥感反演。通过SPSS对SWCI与土壤水分的相关性分析,得到Pearson、Kendall'sTau-b和Spearman3个相关系数分别为0.880,0.778,0.891,呈显著性相关。在0~20cm土层土壤水分遥感反演中,Sentinel-2数据模型操作简单、精度较高,适用于业务化监测。

关键词: Sentinel-2;遥感;土壤水分;SWCI

Abstract: The SENTINEL-2 data was applied to the Soil Surface Water Index(SWCI)model,and the soil moisture content and spatial distribution that were obtained can be used for accurate and rapid remote sensing inversion of soil moisture under low vegetation cover.By analyzing the correlation between SWCI and soil moisture,the correlation coefficients of Pearson,Kendall's Tau-b and Spearman were 0.880,0.778 and 0.891,respectively,which all indicated significant correlation.In the remote sensing inversion of soil moisture(0~20 cm),the SENTINEL-2 data model is easy to operate and it has high precision and is suitable for operational monitoring.

Key words: Sentinel-2;Remote sensing;Soil moisture;SWCI

中图分类号:

TP751

于利峰;乌云德吉;乌兰吐雅;闫庆琦;刘文兵;包珺玮;许洪滔;任婷婷;于伟卓. 基于Sentinel-2数据土壤表层水分遥感反演[J]. 北方农业学报, 2018, 46(6): 120-124.

YU Lifeng;Wuyundeji;Wulantuya;YAN Qingqi;LIU Wenbing;BAO Junwei;XU Hongtao;REN Tingting;YU Weizhuo(Inner Mongolia Academy of Agricultual&Animal Husbandry Sciences,Inner Mongolia Engineering and Technology Research Center for Agricultural Remote SensingHohhot 010031,China;Institute of Agricultural Scienceof Horqin Youyi Front Banner,Horqin 137423,China;;Agricultural Technology Extension Center of Horqin Youyi Front Banner,Horqin 137423,China). Remote sensing inversion of soil surface moisture based on Sentinel-2 data[J]. Journal of Northern Agriculture, 2018, 46(6): 120-124.

基于Sentinel-2数据土壤表层水分遥感反演

Remote sensing inversion of soil surface moisture based on Sentinel-2 data

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