Soil Texture Estimation Over a Semiarid Area Using TerraSAR-X Radar Data

In this letter, it is proposed to use TerraSAR-X data for analysis and estimation of soil surface texture. Our study is based on experimental campaigns carried out over a semiarid area in North Africa. Simultaneously with TerraSAR-X radar acquisitions, ground measurements (texture, soil moisture, and roughness) were made on different test fields. A strong correlation is observed between soil texture and a processed signal from two radar images, with the first acquired just after a rain event and the second corresponding to dry soil conditions, acquired three weeks later. An empirical relationship is proposed for the retrieval from radar signals of clay content percent. Soil texture mapping is proposed over the study site, which includes bare soils and olive groves.

• Publication year

  2012

• Venue

  IEEE Geoscience and Remote Sensing Letters

• Publication date

  2012-05-01

• Fields of study

  Geology, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/LGRS.2011.2168379
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust

  2011cited by this paper
• Analysis of Local Variation of Soil Surface Parameters With TerraSAR-X Radar Data Over Bare Agricultural Fields

  2010cited by this paper
• Error in Radar-Derived Soil Moisture due to Roughness Parameterization: An Analysis Based on Synthetical Surface Profiles

  2009cited by this paper
• Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements

  2008cited by this paper
• On the Soil Roughness Parameterization Problem in Soil Moisture Retrieval of Bare Surfaces from Synthetic Aperture Radar

  2008cited by this paper
• Continuum removal versus PLSR method for clay and calcium carbonate content estimation from laboratory and airborne hyperspectral measurements

  2008cited by this paper
• TerraSAR-X Ground Segment Basic Product Specification Document

  2008cited by this paper
• Analysis of TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural fields

  2008cited by this paper
• High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures

  2006cited by this paper
• Backscattering from a randomly rough dielectric surface

  1992influential reference
• From theory to applications

  1986cited by this paper
• Microwave Remote Sensing Active and Passive-Volume III: From Theory to Applications

  1986cited by this paper
• Microwave Remote Sensing, Active and Passive

  1982cited by this paper
• Hydrology and Earth System Sciences Soil Surface Moisture Estimation over a Semi-arid Region Using Envisat Asar Radar Data for Soil Evaporation Evaluation

  year unknowncited by this paper

• Evaluation of the Potential for Estimating Backscattering Coefficients over Bare Agricultural Soils at the Intra-Plot Scale

  2025cites this paper
• Generalized Soil Texture Classification Using Systematic Generation of Mixtures Based on USDA Soil Classification Triangle

  2024cites this paper
• Geotechnical Investigation of Exposed Intertidal Flats at the Great Bay Estuary Using Sediment Sampling and Satellite-Based Synthetic Aperture Radar

  2024cites this paper
• Surface soil moisture estimation from multi-frequency SAR images using ANN and experimental data on a semi-arid environment region in Konya, Turkey

  2023cites this paper
• Mapping Surface Organic Soil Properties in Arctic Tundra Using C-Band SAR Data

  2023cites this paper
• Estimation of Multi-Frequency, Multi-Incidence and Multi-Polarization Backscattering Coefficients over Bare Agricultural Soil Using Statistical Algorithms

  2023cites this paper
• Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates

  2022cites this paper
• Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 1: Soil Applications

  2022cites this paper
• Environmental Strain on Beach Environments Retrieved and Monitored by Spaceborne Synthetic Aperture Radar

  2021cites this paper
• Toprak neminin yarı kurak alanlarda çok zamanlı RADARSAT-2 verileri ile incelenmesi

  2021cites this paper
• Prediction of topsoil properties at field-scale by using C-band SAR data

  2020cites this paper
• Remote sensing

  2020cites this paper
• Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture

  2020cites this paper
• Clay Content Mapping Using Soil Moisture Products Derived From a Synergetic Use of Sentinel-1 and Sentinel-2 Data

  2020cites this paper
• Estimation of Surface Soil Moisture at the Intra-Plot Spatial Scale by Using Low and High Incidence Angles TerraSAR-X Images

  2020cites this paper
• Soil Texture Estimation Using Radar and Optical Data from Sentinel-1 and Sentinel-2

  2019cites this paper
• Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data

  2018cites this paper
• Ten Years of Experience with Scientific TerraSAR-X Data Utilization

  2018cites this paper
• Spatial estimation of actual evapotranspiration and irrigation volumes using water and energy balance models forced by optical remote sensing data (VIS / NIR / TIR)

  2018cites this paper
• Investigating the correlation between radar backscatter and in situ soil property measurements

  2017cites this paper
• Characterization of Soil Surface Properties Using Radar Remote Sensing

  2016cites this paper
• PRELIMINARY RESULTS OF ESTIMATING SOIL MOISTURE OVER BARE SOIL USING FULL-POLARIMETRIC ALOS-2 DATA

  2016cites this paper
• Template C v3.0 (beta): Created by J. Nail 06/2015 Statistical analysis of radar and hyperspectral remote sensing data

  2016cites this paper
• Assessment of Paleo-Landscape Features using Advanced Remote Sensing Techniques, Modelling and GIS Methods in the Lake Manyara Basin, Northern Tanzania

  2016cites this paper
• Utilização de imagens do ALOS/PALSAR no mapeamento digital de atributos físicos dos solos.

  2016cites this paper
• Comparative analysis of Edge Detection techniques for SAR images

  2016cites this paper
• Improvement of Bare Soil Semi-Empirical Radar Backscattering Models (Oh and Dubois) with SAR Multi-Spectral Satellite Data (X-, C- and L-Bands)

  2016cites this paper
• Land Cover Classification Using Multi-Frequency SAR over Semi-Arid and Forested African Landscapes

  2016cites this paper
• Retrieval of Both Soil Moisture and Texture Using TerraSAR-X Images

  2015cites this paper
• Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements

  2015cites this paper
• Multisensoral Topsoil Mapping in the Semiarid Lake Manyara Region, Northern Tanzania

  2015cites this paper
• Mapping of bare soil surface parameters from TerraSAR-X radar images over a semi-arid region

  2015cites this paper
• Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands

  2015cites this paper
• Digital Mapping of Soil Texture Using RADARSAT-2 Polarimetric Synthetic Aperture Radar Data

  2014cites this paper
• The Delineation of Paleo-Shorelines in the Lake Manyara Basin Using TerraSAR-X Data

  2014cites this paper
• Using a time series of Landsat TM data for digital mapping to fill information gaps in topsoil texture central Tunisia

  2014cites this paper
• Estimation régionale de l'évapotranspiration sur la plaine de Kairouan (Tunisie) à partir de données satellites multi-capteurs

  2013cites this paper
• A REFINED TWO-DIMENSIONAL NONLINEAR CHIRP SCALING ALGORITHM FOR GEOSYNCHRONOUS EARTH ORBIT SAR

  2013cites this paper
• Caractérisation de l'état de surface des sols nus agricoles par imagerie radar TerraSAR-X

  2012cites this paper
• L'Institut des Sciences et Industries du Vivant et de l'Environnement (AgroParisTech)

  2010cites this paper