Next Article in Journal
Accurate Determination of Glacier Surface Velocity Fields with a DEM-Assisted Pixel-Tracking Technique from SAR Imagery
Next Article in Special Issue
Modifying Geometric-Optical Bidirectional Reflectance Model for Direct Inversion of Forest Canopy Leaf Area Index
Previous Article in Journal
Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval
Previous Article in Special Issue
Cross-Calibration of GF-1/WFV over a Desert Site Using Landsat-8/OLI Imagery and ZY-3/TLC Data
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(8), 10878-10897;

Calibration of the L-MEB Model for Croplands in HiWATER Using PLMR Observation

State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China
This is an extended version of IGARSS 2014 paper.
Author to whom correspondence should be addressed.
Academic Editors: Xin Li, Yuei-An Liou, Nicolas Baghdadi and Prasad S. Thenkabail
Received: 26 March 2015 / Revised: 3 August 2015 / Accepted: 18 August 2015 / Published: 24 August 2015
Full-Text   |   PDF [1172 KB, uploaded 25 August 2015]   |  


The Soil Moisture and Ocean Salinity (SMOS) mission was initiated in 2009 with the goal of acquiring global soil moisture data over land using multi-angular L-band radiometric measurements. Specifically, surface soil moisture was estimated using the L-band Microwave Emission of the Biosphere (L-MEB) radiative transfer model. This study evaluated the applicability of this model to the Heihe River Basin in Northern China for specific underlying surfaces by simulating brightness temperature (BT) with the L-MEB model. To analyze the influence of a ground sampling strategy on the simulations, two resampling methods based on ground observations were compared. In the first method, the simulated BT of each point observation was initially acquired. The simulations were then resampled at a 1 km resolution. The other method was based on gridded data with a resolution of 1 km averaged from point observations, such as soil moisture, soil temperature, and soil texture. The simulated BTs at a 1 km resolution were then obtained using the L-MEB model. Because of the large variability in soil moisture, the resampling method based on gridded data was used in the simulation. The simulated BTs based on the calibrated parameters were validated using airborne L-band data from the Polarimetric L-band Multibeam Radiometer (PLMR) acquired during the HiWATER project. The root mean square errors (RMSEs) between the simulated results and the PLMR data were 6 to 7 K for V-polarization and 3 to 5 K for H-polarization at different angles. These results demonstrate that the model effectively represents agricultural land surfaces, and this study will serve as a reference for applying the L-MEB model in arid regions and for selecting a ground sampling strategy. View Full-Text
Keywords: soil moisture; microwave brightness temperature; L-MEB model; PLMR; HiWATER soil moisture; microwave brightness temperature; L-MEB model; PLMR; HiWATER

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Yan, S.; Jiang, L.; Chai, L.; Yang, J.; Kou, X. Calibration of the L-MEB Model for Croplands in HiWATER Using PLMR Observation. Remote Sens. 2015, 7, 10878-10897.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top