Caractérisation géostatistique de la variabilité spatiale de l’humidité du sol à l’aide des cartes dérivées des données radar à synthèse d’ouverture de RADARSAT-1-Reference-Cited by-同舟云学术

Caractérisation géostatistique de la variabilité spatiale de l’humidité du sol à l’aide des cartes dérivées des données radar à synthèse d’ouverture de RADARSAT-1

Published:2008-01 Issue:4 Volume:34 Page:376-389
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Merzouki A.,Bannari A.,Teillet P M,King D J

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

http://www.tandfonline.com/doi/pdf/10.5589/m08-033

Reference46 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. Geostatistics of near-surface moisture in bare cultivated organic soils

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

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

5. A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

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1. A Hybrid (Multi-Angle and Multipolarization) Approach to Soil Moisture Retrieval Using the Integral Equation Model: Preparing for the RADARSAT Constellation Mission;Canadian Journal of Remote Sensing;2015-09-03

2. Validation of the AIEM Through Correlation Length Parameterization at Field Scale Using Radar Imagery in a Semi-Arid Environment;IEEE Geoscience and Remote Sensing Letters;2013-05

3. Statistical properties of soil moisture images derived from Radarsat-1 SAR data;International Journal of Remote Sensing;2011-08-19

4. Mapping Soil Moisture Using RADARSAT-2 Data and Local Autocorrelation Statistics;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2011-03

5. Potential of mapping soil moisture by combining radar backscatter modeling and PolSAR decomposition;2010 IEEE International Geoscience and Remote Sensing Symposium;2010-07