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Advances in Earth Science >

2014 , Vol. 29 >Issue 2: 295 - 305

DOI: https://doi.org/1001-8166(2014)02-0295-11

Orginal Article

Soil Moisture Retrieval from Airborne PLMR and MODIS Productsinthe ZhangyeOasisof MiddleStream ofHeihe River Basin, China

  • Li Dazhi ,
  • Jin Rui ,
  • Che Tao ,
  • Walker Jeffrey ,
  • Gao Ying ,
  • Ye Nan ,
  • Wang Shuguo
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  • 1.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
    2.University of Chinese Academy of Sciences, Beijing 100049, China
    3.Heihe Remote Sensing Experimental Research Station, CAREERI, CAS,Lanzhou 730000, China
    4.Monash University, Department of Civil Engineering, Melbourne 3800, Australia
    5.Nanjing University, Department ofGeographical Information Science, Nanjing 210093,China
晋锐（1979-）,女,山西临汾人,副研究员,主要从事水文遥感、微波遥感、数据同化及无线传感器网络研究. E-mail: jinrui@lzb.ac.cn

Received date: 2013-12-18

  Revised date: 2014-01-23

  Online published: 2014-02-10

Copyright

地球科学进展 编辑部, 2014, This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.本文支持CCAL协议的开放获取，允许读者在以下情况下免费获取和使用本文内容：科研、教学、数据库索引，并标明出处。但不得用于任何商业目的。版权属于地球科学进展 编辑部
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Abstract

Soil moisture is one of important variables in the climate and hydrology research. Remote sensing can map the soil moisture distribution at regional or global scale. Microwave remote sensing now has been the main method to retrieve soil moisture information, especially using satellite-based passive microwave radiometer. L-band is most suitable for the microwave remote sensing of soil moisture due to its longer wavelength. ESA#cod#x02019;s Soil Moisture and Ocean Salinity (SMOS) satellite uses MIRAS (Microwave Imaging Radiometer by Aperture Synthesis) to get multi-angle and dualpolarized brightness temperatures of land surface at L-band. SMOS aims to get global surface soil moisture through radiative transfer model (L-MEB) and multiparameter retrieval method. SMOS Level 2 surface soil moisture algorithm uses an iterative method to minimize a cost function formulated by difference between modeled and measured brightness temperature.PLMR (Polarimetric L-band Multibeam Radiometer) is an airborne simulator of SMOS MIRAS that can measure passive microwave radiation of land surface at L-band (1.4 GHz) dual polarization and in three different angles(7#cod#x000b0;,21.5#cod#x000b0; and 38.5#cod#x000b0;).This paper uses airborne PLMR radiometer data combined with MODIS LST (MOD11A1) and LAI (MOD15A2) products to retrieve surface soil moisture in the artificial oasis experimental area of HiWATER by L-MEB radiative transfer model and LM (Levenberg-Marquardt) optimization algorithm. The three retrieving strategies are tested, including single, two and three parameters selected from soil moisture, vegetation water content and surface roughness. The comparison analysis shows the multi-angle and dual-polarized PLMR brightness temperatures combined with prior information from operational remote sensing products can obviously reduce the uncertainty of retrieval process and improve the retrieval accuracy. This paper proves that with reasonable model parameters and retrieval method, the L-MEB model can achieve 0.04 cm3/cm3 accuracy requirement for soil moisture retrieval. This paper also reveals the importance of using wireless sensor network in the verification of remote sensing products.

Key words： PLMR radiometer; Soil moisture retrieval; MODIS; Oasis farmland; HiWATER.

Cite this article

Li Dazhi , Jin Rui , Che Tao , Walker Jeffrey , Gao Ying , Ye Nan , Wang Shuguo . Soil Moisture Retrieval from Airborne PLMR and MODIS Productsinthe ZhangyeOasisof MiddleStream ofHeihe River Basin, China[J]. Advances in Earth Science, 2014 , 29(2) : 295 -305 . DOI: 1001-8166(2014)02-0295-11

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