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

Journal of Northern Agriculture ›› 2018, Vol. 46 ›› Issue (6): 120-124.doi: 10.3969/j.issn.2096-1197.2018.06.23

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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

Abstract

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

CLC Number:

TP751

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.

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https://journal30.magtechjournal.com/bfnyxb/EN/Y2018/V46/I6/120

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

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