Application of a Combined Optical-Passive Microwave Method to Retrieve Soil Moisture at Regional Scale Over Chile

被引:13
作者
Santamaria-Artigas, Andres [1 ,2 ]
Mattar, Cristian [1 ]
Wigneron, Jean-Pierre [3 ]
机构
[1] Univ Chile, Dept Environm Sci & Renewable Nat Resources, Lab Anal Biosphere, Santiago 1058, Chile
[2] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[3] Inst Natl Rech Agronom, F-33140 Bordeaux, France
关键词
ERA-Interim; Moderate Resolution Imaging Spectroradiometer (MODIS); Normalized Difference Vegetation Index (NDVI); Soil Moisture and Ocean Salinity (SMOS); Soil Moisture (SM); L-BAND EMISSION; SMOS; VEGETATION; PRODUCTS; PERFORMANCE; MODIS; RADIOMETER; FORESTS; MODEL; INDEX;
D O I
10.1109/JSTARS.2015.2512926
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work presents the calibration and evaluation of an optical-passive microwave method for retrieving soil moisture (SM) at regional scale using remote sensing and reanalysis data. Several data sets were used, such as the bipolarized brightness temperature provided by SM and Ocean Salinity (SMOS) L3 brightness temperature product, the Normalized Difference Vegetation Index (NDVI) from moderate resolution imaging spectroradiometer (MODIS), the soil temperature and water content of the first 0-7 cm of depth from the ERA-Interim reanalysis, and 13 land cover classes obtained from the ECOCLIMAP database. The method was applied over Chile between 28 degrees S and 43 degrees S for 2010-2012. The data set was used to calibrate and evaluate a semiempirical approach for estimating SM, first by using only the data from SMOS and ERA-Interim and then also including the MODIS vegetation indicator. Results were analyzed for every land cover class using the determination coefficient (r(2)), the coefficients obtained from the regressions, and the unbiased root-mean-square difference (ubRMSD). Results showed an increase in the average r(2) for all classes when a vegetation index was used in the calibration of the approach. The increases in r(2) ranged from 3% for the crop class, to 49% for the closed shrubland class. The ubRMSD presented a decrease in its value of up to 1% m(3)/m(3) for the woodlands, open shrublands, and woody shrublands classes and up to 2% m(3)/m(3) for the closed shrubland class. These results contribute to the use of single linear and semiempirical regressions to estimate SM at regional scale based on SMOS L-band bipolarized brightness temperature.
引用
收藏
页码:1493 / 1504
页数:12
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