蒙古高原植物生长期土壤水分时空变化特征

doi:10.13866/j.azr.2016.03.03

干旱区研究 ›› 2016, Vol. 33 ›› Issue (3): 467-475.doi: 10.13866/j.azr.2016.03.03

蒙古高原植物生长期土壤水分时空变化特征

魏宝成¹, 银山^1,2, 贾旭³, 包玉海², 那日苏¹, 玉山²

1.内蒙古师范大学地理科学学院,内蒙古呼和浩特 010022;
2.内蒙古师范大学遥感与地理信息系统重点实验室,内蒙古呼和浩特 010022;
3.内蒙古农业大学生态环境学院,内蒙古呼和浩特 010018

收稿日期:2015-10-27 修回日期:2016-02-29 出版日期:2016-05-15 发布日期:2016-05-31
作者简介:魏宝成(1989-),男,硕士研究生,研究方向为自然灾害监测与评估.E-mail:nsdwbc@126.com
基金资助:
国家自然科学基金(61550005);“十二五”科技支撑项目(2013BAK05B01);内蒙古自然科学基金(2013MS0601)资助

Spatiotemporal Variation of Soil Moisture Content in the Mongolia Plateau in Plant Growing Season

WEI Bao-cheng¹, YIN Shan^1,2, JIA Xu³, BAO Yu-hai², NA Ri-su¹, YU Shan²

1. College of Geographical Science,Inner Mongolia Normal University,Hohhot 010022,Inner Mongolia,China;
2. Key Laboratory of Remote Sensing and Geographical Information System,Inner Mongolia Normal University,Hohhot 010022, Inner Mongolia,China;
3. College of Ecology and Environmental Science,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China

Received:2015-10-27 Revised:2016-02-29 Published:2016-05-15 Online:2016-05-31

摘要/Abstract

摘要： 以AMSR-2亮温数据,SPOT归一化植被指数为数据源,采用ω-τ模型和基于Qp模型的双通道反演算法,建立适用于蒙古高原表层土壤水分的反演模型。将该模型应用于2013年蒙古高原植物生长期(4—10月)表层土壤水分反演,同时分析其时空变化特征。结果表明:土壤水分反演值与实测值的Pearson相关系数为0.825,均方根误差达到了0.031 6 cm³·cm^-3,反演模型具有较高精度;蒙古高原表层土壤水分平均介于0.047～0.234 cm³·cm^-3,土壤水分总的空间分布格局表现出由北向南,由东北向西南逐渐减少趋势;在蒙古国北部以及内蒙古大兴安岭森林-森林草原区,土壤水分与整个研究区相比差异较大,同时在时间序列上该区域土壤水分波动较为显著。

关键词: 植物生长期, 土壤水分, 时空变化, AMSR-2, 蒙古高原

Abstract: Soil moisture content is an important parameter of hydrological system. An inversion model of soil moisture content in the Mongolia Plateau was developed by using the ω-τ and Qp models based on AMSR-2 bright temperature data and SPOT Normalized Difference Vegetation Index data. The values of topsoil moisture content during the period from April to October 2013 were retrieved to study the spatiotemporal variation of topsoil moisture content. The results showed that the Pearson Correlation Coefficient between the retrieved and measured values of soil moisture content was 0.825,root-mean square error was 0.031 6 cm³·cm^-3,and the retrieval results were very good. The average values of topsoil moisture content varied in a range of 0.047-0.234 cm³·cm^-3,and spatially the soil moisture content was gradually decreased from north to south and from northeast to southwest. Spatiotemporally,the soil moisture content in the forest-sylvosteppe areas in north Mongolia and the Greater Khingan Mountains of Inner Mongolia fluctuated markedly.

Key words: plant growing season, moisture content, spatiotemporal variation, AMSR-2, the Mongolia Plateau

魏宝成, 银山, 贾旭, 包玉海, 那日苏, 玉山. 蒙古高原植物生长期土壤水分时空变化特征[J]. 干旱区研究, 2016, 33(3): 467-475.

WEI Bao-cheng, YIN Shan, JIA Xu, BAO Yu-hai, NA Ri-su, YU Shan. Spatiotemporal Variation of Soil Moisture Content in the Mongolia Plateau in Plant Growing Season[J]. Arid Zone Research, 2016, 33(3): 467-475.

参考文献

〔1〕 Kim S,Liu Y Y,Johnson F M,et al.A global comparison of alternate AMSR2 soil moisture products:Why do they differ?〔J〕.Remote Sensing of Environment,2015,161:43-62.
〔2〕 Mao K B,Tang H J,Zhang L X,et al.A method for retrieving soil moisture in Tibet region by utilizing microwave index from TRMM/TMI data〔J〕.International Journal of Remote Sensing,2008,29(10):2 903-2 923.
〔3〕李小英,段争虎.基于SMOS的黄土高原区域尺度表层土壤水分时空变化〔J〕.中国沙漠,2014,34(1):133-139.〔Li Xiaoying,Duan Zhenghu.Spatial variability of surface soil moisture at a regional scale in the Loess Plateau based on SMOS〔J〕.Journal of Desert Research,2014,34(1):133-139.〕
〔4〕鲍艳松,毛飞,闵锦忠,等.基于FY-3B/MWRI数据的裸土区土壤湿度反演〔J〕.国土资源遥感,2014,26(4):131-137.〔Bao Yansong,Mao Fei,Min Jinzhong,et al.Retrieval of bare soil moisture from FY-3B/MWRI data〔J〕.Remote Sensing for Land and Sources,2014,26(4):131-137.〕
〔5〕田辉,王澄海,文军,等.基于简化参数方法的蒙古干旱区土壤湿度被动微波遥感〔J〕.地球物理学报,2012,55(2):415-427.〔Tian Hui,Wang Chenghai,Wen Jun,et al.Soil moisture estimation over an arid environment in Mongolia from passive microwave remote sensing based on a simplified parameterization method〔J〕.Chinese Journal of Geophysics,2012,55(2):415-427.〕
〔6〕 Jackson M D,Le Vine F.Soil moisture mapping at regional scales using microwave radiometry the southern great plains hydrology experiment〔J〕.IEEE Transactions on Geoscience and Remote Sensing,1999,37(5):2 136-2 151.
〔7〕 Jackson,Vine L.Mapping surface soil moisture using an aircraft-based passive microwave instrument algorithm and example〔J〕.Journal of Hydrology,1996,184(12):85-99.
〔8〕 Njoku,Jackson,Lakshmi V,et al.Soil moisture retrieval from AMSR-E〔J〕.IEEE Transactions on Geoscience and Remote Sensing,2003,41(2):215-229.
〔9〕 Shen X,Hong Y,Qin Q,et al.A semi physical microwave surface emission model for soil moisture retrieval〔J〕.IEEE Transactions on Geoscience and Remote Sensing,2015,53(7):4 079-4 090.
〔10〕Njoku,Li L.Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz〔J〕.IEEE Transactions on Geoscience and Remote Sensing,1999,37(1):79-93.
〔11〕张玲,蒋金豹,崔希民,等.利用ANFIS方法反演裸土区土壤水分含量〔J〕.国土资源遥感,2013,25(2):63-68.〔Zhang Ling,Jiang Jinbao,Cui Ximin,et al.ANFIS method to soil moisture inversion in bare region〔J〕.Remote Sensing for Land and Sources,2013,25(2):63-68.〕
〔12〕Schmugge T,O'neill P E,Wang J R.Passive microwave soil moisture research〔J〕.IEEE Transactions on Geoscience and Remote Sensing,1986,24(1):12-22.
〔13〕郭贺彬.AMSR微波遥感数据进行土壤湿度的计算机反演〔J〕.测绘科学,2009,34(3):34-36.〔Guo Hebin.Soil moisture inversion by AMSR-E microwave remote sensing data〔J〕.Science of Surveying and Mapping,2009,34(3):34-36. 〕
〔14〕Fujii,Koike,Imaoka.Improvement of the AMSR-E algorithm for soil moisture estimation by introducing a fractional vegetation coverage dataset derived from MODIS data〔J〕.Journal of the Remote Sensing Society of Japan,2009,29(1):282-292.
〔15〕Owe M,Van De Griend A.On the relationship between thermodynamic surface temperature and high-frequency (37 GHz) vertically polarized brightness temperature under semi-arid conditions〔J〕.International Journal of Remote Sensing,2001,22(17):3 521-3 532.
〔16〕Owe M,Jeu R D,Walker J.A methodology for surface soil moisture and vegetation optical depth retrieval using microwave polarization difference index〔J〕.IEEE Transactions on Geoscience and Remote Sensing,2001,39(8):1 643-1 654.
〔17〕Holmes T R H,De Jeu R A M,Owe M,et al.Land surface temperature from KA band (37 GHz) passive microwave observations〔J〕.Journal of Geophysical Research-Atmospheres,2009,D04113-D04127.
〔18〕Jackson T J,Schmugge T J.Vegetation effects on the microwave emission of soils〔J〕.Remote Sensing of Environment,1991,36(3):203-212.
〔19〕Shi J,Jiang L,Zhang L,et al.A parameterized multifrequency-polarization surface emission model〔J〕.IEEE Transactions on Geoscience and Remote Sensing,2005,43(12):2 831-2 841.
〔20〕邹晓蕾,翁富忠,田小旭.AMSR2仪器上新增设的C波段通道对陆地无线电频率干扰的有效缓解〔J〕.气象科技进展,2015,5(2):35-41.〔Zou Xiaolei,Weng Fuzhong,Tian Xiaoxu.An effective mitigation of radio frequency interference over land by adding a new C-band on AMSR-2〔J〕.Advance in Meteorological Science and Technology,2015,5(2):35-41.〕
〔21〕Njoku,Chan S K.Vegetation and surface roughness effects on AMSR-E land observations〔J〕.Remote Sensing of Environment,2006,100(2):190-199.
〔22〕Chen K S,Wu T D,Tsang L,et al.Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations〔J〕.IEEE Transactions on Geoscience and Remote Sensing,2003,41(1):90-100.
〔23〕Dobson M C,Ulaby F T,Hallikainen T,et al.Microwave dielectric behavior of wet soil-part II.dielectric mixing models〔J〕.IEEE Transactions on Geoscience and Remote Sensing,1985,23(1):35-46.
〔24〕Vachaud,Silan P D,Balabanis,et al.Temporal stability of spatially measured soil water probability density function〔J〕.Soil Science Society of America Journal,1985,49(4):822-828.
〔25〕Das N N,Mohanty B P.Temporal dynamics of PSR-based soil moisture across spatial scales in an agricultural landscape during SMEX02 A wavelet approach〔J〕.Remote Sensing of Environment,2008,112(2):522-534.
〔26〕Jacobsa,Mohantyb,Hsuc E-C,et al.SMEX02 field scale variability,time stability and similarity of soil moisture〔J〕.Remote Sensing of Environment,2004,92(4):436-446.

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蒙古高原植物生长期土壤水分时空变化特征

Spatiotemporal Variation of Soil Moisture Content in the Mongolia Plateau in Plant Growing Season

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