Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements-Reference-Cited by-同舟云学术

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Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements

Published:2004-09 Issue:18 Volume:25 Page:3593-3623
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Baghdadi N.¹,Gherboudj I.¹,Zribi M.²,Sahebi M.³,King C.¹,Bonn F.³

Affiliation:

1. a Bureau de Recherches Géologiques et Minières (BRGM) , ARN, 3 avenue C. Guillemin , B.P. 6009, 45060 Orléans cedex 2, France E-mail:

2. b CETP/CNRS 10/12 , avenue de l'Europe , 78140, Velizy, France

3. c CARTEL, Université de Sherbrooke , Sherbrooke , Québec, Canada J1K 2R1

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160310001654392

Reference21 articles.

1. Retrieving Soil Moisture Over Bare Soil from ERS 1 Synthetic Aperture Radar Data: Sensitivity Analysis Based on a Theoretical Surface Scattering Model and Field Data

2. Potential of ERS and Radarsat data for surface roughness monitoring over bare agricultural fields: Application to catchments in Northern France

3. An empirical calibration of the integral equation model based on SAR data, soil moisture and surface roughness measurement over bare soils

4. Relationship between profile length and roughness variables for natural surfaces

5. Baret F 2000 RESEDA final report, CEE project no. ENV4-CT96-0326

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