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Remote Sensing Technology and Application  2022, Vol. 37 Issue (6): 1373-1384    DOI: 10.11873/j.issn.1004-0323.2022.6.1373
Research on the Characteristics of Soil Moisture in the Qinghai-Tibet Plateau During Monsoon and Vegetation Growing Season based on SMOS and SMAP Data
Na Yang1(),Yanjie Tang2(),Ningxin Zhang3,Hengjie Zhang1,Shaobo Xu1
1.School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,China
2.School of Geosciences and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China
3.Wuhan Changqing No. 1School,Wuhan 430024,China
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The Qinghai-Tibet Plateau has a special geographical location and remarkable environmental characteristics, and it is a key participant and decision-maker in the role of the Earth system. Using large-scale satellite microwave remote sensing data to study soil moisture can not only provide theoretical support for understanding the quantitative impact of typical regions on the global water, air, energy and heat interaction mechanism, but also provide practical basis for confirming the reliability of remote sensing data. Based on SMOS (2011—2020) and SMAP (2016—2020) satellite soil moisture data, supplemented by ISMN data, GPCP precipitation data, MOD16A2 evapotranspiration data and C3S surface landcover data, this paper studied the temporal and spatial variability of soil moisture over the Tibetan Plateau during the monsoon and vegetation growing season. Based on the annual mean value of soil moisture(θsatˉ) and the correlation coefficient between soil moisture and time (Rxt), the temporal and spatial distribution and long-term dissipation characteristics of soil moisture in the monsoon and vegetation growing season (July-September) of the Qinghai-Tibet Plateau were studied. Combined with the partial correlation coefficient (Rxy,z) the coupling relationship between precipitation and evapotranspiration was preliminaries analyzed. The results showed that the soil moisture decreased first (2011—2015) and then increased (2015—2018) and volatility change subsequently in time, and gradually increased from northwest to southeast in space. The coupling between soil moisture and precipitation was stronger than evapotranspiration in most areas of the Tibetan Plateau. SMOS and SMAP have a high consistency in capturing spatial and temporal characteristics of soil moisture over the Tibetan Plateau.

Key words:  Qinghai Tibet Plateau      Soil moisture      Temporal and spatial distribution      SMOS      SMAP     
Received:  07 July 2022      Published:  15 February 2023
ZTFLH:  TP701  
Corresponding Authors:  Yanjie Tang     E-mail:;
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Na Yang
Yanjie Tang
Ningxin Zhang
Hengjie Zhang
Shaobo Xu

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Na Yang, Yanjie Tang, Ningxin Zhang, Hengjie Zhang, Shaobo Xu. Research on the Characteristics of Soil Moisture in the Qinghai-Tibet Plateau During Monsoon and Vegetation Growing Season based on SMOS and SMAP Data. Remote Sensing Technology and Application, 2022, 37(6): 1373-1384.

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DQX(the Data Quality Index)>0
Science_Flags(Bit 1)==0



static water fraction<5%
urban area<25%
precipitation/snow/permanent ice/frozen ground fraction<5%
slope standard deviation<3%
Table 1  SMOS and SMAP soil moisture data quality control conditions
Table 2  Soil temperature distribution of 5 cm of three observation networks
Fig.1  Variation trend of soil moisture in Qinghai-Tibet Plateau
Fig.2  Spatial distribution of SMOS and SMAP multi-year average soil moisture in the Qinghai-Tibet Plateau from July to September
Fig.3  Spatial and temporal variation characteristics of year average soil moisture in SMOS and SMAP in the Qinghai-Tibet Plateau from July to September
Fig.4  Temporal and spatial variation characteristics of precipitation and evapotranspiration based on SMOS and SMAP grid in Qinghai Tibet Plateau
Table 3  Proportion of each category in the Qinghai-Tibet Plateau region
Fig.5  Distribution of main surface types based on SMOS and SMAP grid in Qinghai Tibet Plateau
Fig.6  Spatial distribution of partial correlation coefficient between Soil Moisture, Precipitation and Evapotranspiration in Qinghai-Tibet Plateau
Fig.7  Proportion of grid points of downward biased correlation coefficient of different land types in Qinghai Tibet Plateau
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