A newsoil roughness parameter for themodelling of radar backscattering over bare soil

International audienceThe characterisation of soil surface roughness is a key requirement for the correct analysis of radar backscattering behaviour. It is noteworthy that an increase in the number of surface roughness parameters in a model also increases the difficulty with which data can be inverted for the purposes of estimating soil parameters. In this paper, a new description of soil surface roughness is proposed for microwave applications. This is based on an original roughness parameter, Zg, which combines the three most commonly used soil parameters: root mean surface height, correlation length, and correlation function shape, into just one parameter. Numerical modelling, based on the moment method and integral equations, is used to evaluate the relevance of this approach. It is applied over a broad dataset of numerically generated surfaces characterised by a large range of surface roughness parameters. A strong correlation is observed between this new parameter and the radar backscattering simulations, for the HH and VV polarisations in the C and X bands. It is proposed to validate this approach using data acquired in the C and X bands, at several agricultural sites in France. It was found that the parameter Zg has a high potential for the analysis of surface roughness using radar measurements. An empirical model is proposed for the simulation of backscattered radar signals over bare soil

Characterization of Martian Surfaces using Mechanical and Spectrophotometric Models

Two recent in situ Mars missions, the Phoenix Mars Lander and the Mars Exploration Rover Opportunity, have explored two quite different locations on the surface of Mars. The Phoenix lander investigated the polygonal terrain and associated soil and icy soil deposits of a high northern latitude site: 68.22° N, 234.25° E). The Opportunity rover, the only currently operational spacecraft on the surface of Mars, is located much closer to the equator: 1.95° S, 354.47° E), and has been exploring the plains and sedimentary rocks in Meridiani Planum. Concurrent with in situ Opportunity and Phoenix observations, the Compact Reconnaissance Imaging Spectrometer for Mars: CRISM) was in orbit around Mars collecting hyperspectral data. In this dissertation, surface and orbital data are used to explore and characterize surface material properties at the Phoenix and Opportunity sites. The Phoenix soil physical properties experiments involved the analysis of forces determined from motor currents from the Robotic Arm: RA)’s trenching activities. Using this information and images of the landing site, soil cohesion and angle of internal friction were determined. Soil dump pile slopes were used to determine the angle of internal friction of loose soil: 38° ± 5°. Additionally, an excavation model that treated walls and edges of the RA’s scoop as retaining walls was used to calculate mean in situ soil cohesion values for several trenches in the Phoenix landing site workspace. These cohesions were found to be consistent with the stability of steep trench slopes. Cohesions varied from 0.20.4−0.2 kPa to 1.21.8−1.2 kPa, with the exception of a subsurface platy horizon unique to a shallow trough for which cohesion will have to be determined using other methods. Soil on a nearby polygon mound had the greatest cohesion: 1.21.8−1.2 kPa). This high cohesion value was most likely due to the presence of adsorbed water or pore ice above the shallow icy soil surface. Further evidence for enhanced soil cohesion above the ice table includes lateral increase in excavation force, by over 30 N, as the RA approached ice. The behavior of soil near the ice table interface is of particular interest considering that many of the high-latitude and mid–latitude regions of Mars are underlain by ice. For the region traversed by Opportunity in the vicinity of Victoria crater, normalized spectral radiances from the Compact Reconnaissance Imaging Spectrometer for Mars: CRISM) were used to retrieve surface scattering properties. Estimates agree with those retrieved in previous photometric studies which used Opportunity–s Panoramic Camera: Pancam) data, and I was able to extend estimates of the Hapke single particle scattering albedo and asymmetry parameter: from the one–term Henyey Greenstein single particle phase function) to a greater spatial and spectral range. Results are useful for determining the boundaries between surface units that otherwise look relatively uniform spectrally. This work also provides photometric functions essential for converting spectra to a single viewing geometry which will yield more accurate spectral comparisons. Results were obtained through simultaneous modeling of surface and atmospheric contributions, iterating through surface scattering parameters until a Levenberg–Marquardt least squares best fit was achieved. Retrieved single scattering albedos range from 0.42 to 0.57: 0.5663 − 2.2715 micrometers), and retrieved asymmetry parameters range from −0.27 to −0.17: moderately backscattering). All surfaces become more backscattering with increasing wavelength. The majority of Victoria crater’s ejecta apron is more backscattering than surrounding regions, indicating a change in physical properties. Images taken when the rover traversed this unit show a cover of basaltic soil with superposed millimeter–scale hematitic spherules, providing agreement with previous analyses of lab experiments showing increased backscattering with the addition of hematitic spherules. Dark wind streaks on the apron appear smooth: low backscatter) because basaltic sands have partly buried spherules, lessening millimeter–scale roughness: in agreement with previous near–surface wind streak analyses). The CRISM–derived scattering parameters also show that bedrock–dominated surfaces are less backscattering than soil–covered surfaces, largely due to lower areal abundance of spherules. The ability to analyze surface unit spherule cover is important because it relates to a wetter period during which spherules formed in Meridiani

Statistical Characterization of Bare Soil Surface Microrelief

Because the soil surface occurs at the boundary between the atmosphere and the pedosphere, it plays an important role for geomorphologic processes. Roughness of soil surface is a key parameter to understand soil properties and physical processes related to substrate movement, water infiltration or runoff, and soil erosion. It has been noted by many authors that most of the soil surface and water interaction processes have characteristic lengths in millimeter scales. Soil irregularities at small scale, such as aggregates, clods and interrill depressions, influence water outflow and infiltration rate. They undergo rapid changes caused by farming imple‐ ments, followed by a slow evolution due to rainfall events. Another objective of soil surface roughness study is investigating the effects of different tillage implements on soil physical properties (friability, compaction, fragmentation and water content) to obtain an optimal crop emergence. Seedbed preparation focuses on the creation of fine aggregates and the size distribution of aggregates and clods produced by tillage operations is frequently measured. Active microwave remote sensing allows potential monitoring of soil surface roughness or moisture retrieving at field scale using space-based Synthetic Aperture Radars (SAR) with high spatial resolution (metric or decametric). The scattering of microwaves depends on several surface characteristics as well as on imagery configuration. The SAR signal is very sensitive to soil surface irregularities and structures (clod arrangement, furrows) and moisture content in the first few centimeters of soil (depending on the radar wavelength). In order to link the remote sensing observations to scattering physical models as well as for modelling purpose, key features of the soil microtopography should be characterized. However, this characteri‐ zation is not fully understood and some dispersion of roughness parameters can be observed in the same field according to the methodology used. It seems also, that when describing surface roughness as a whole, some information related to structured elements of the micro‐ topography is lost

Modelling of GPR Wave Propagation and Scattering in Inhomogeneous Media

Numerical modelling of GPR wave propagation is becoming more and more important. The ability to build complex models to mirror complex subsurface structures can improve our understanding of how electromagnetic waves are effected by it. The main task of this thesis was to develop a model generator which simplifies complex model building by applying statistical processes. Both, the distribution of inhomogeneities and random rough surfaces can be described statistically. The developed model builder \emph{modelGPR} uses Gaussian distribution to create rough surfaces and to embed inhomogeneities into a host medium. The potentials of the software are presented by two examples. The first is related to ground truth measurements for SAR-satellites in polar regions and the second is devoted to water detection in the Martian shallow subsurface

Développement et validation de méthodologies pour le suivi des états de surface des sols agricoles nus par télédétection radar (bande X)

Le recours à la caractérisation des états hydrique, géométrique et physique de surface du sol est essentiel dans la gestion et la conservation des ressources naturelles dans les régions agricoles semi-aride. Dans ce contexte, les travaux de cette thèse visent à estimer la variabilité spatio-temporelle des paramètres de surfaces agricoles nues (humidité, rugosité et texture) moyennant des données radars multi-temporelles acquises en bande X à haute résolution spatiale. Une nouvelle description de l'état géométrique des sols est d'abord proposée à travers l'estimation d'un nouveau paramètre de rugosité, le paramètre Zg, estimé en fonction de trois paramètres statistiques de rugosité (écart type des hauteurs "s", longueur de corrélation "l" et la forme de la fonction de corrélation). Les simulations des signaux radar montrent une très forte corrélation avec ce paramètre de rugosité. L'apport du paramètre Zg est confirmé à travers une large base de données expérimentale et spatiale acquises sur différents sites en France. Le deuxième volet de cette thèse présente une analyse des sensibilités des signaux radars issus de capteurs (TerraSAR-X et COSMO-SkyMed), aux paramètres de surface (l'humidité et les trois paramètres de rugosité : s, Zs=s2/l et Zg). Une forte corrélation est observée entre les mesures radars acquises à différentes configurations (polarisations HH et VV, et à 26° et 36°d'incidences) et tous les paramètres du sol. Cette analyse est suivie par des comparaisons des coefficients de rétrodiffusion réels et simulés à partir des modèles physique et semi empirique couramment utilisés : Modèle d'équation intégrale " IEM " de Fung et al., 1992, Modèle de Dubois (Dubois et al., 1995) et le Modèle IEM empiriquement calibré par Baghdadi et al., 2011. Le dernier modèle a montré une forte cohérence avec les mesures radar. Dans le troisième volet, une méthode empirique de détection de changement est développée, en combinant les images radars TerraSAR-X avec des données d'humidités ponctuelles dérivées du réseau des 7 capteurs repartis sur la zone d'étude en continue, pour spatialiser l'état hydrique du sol. La performance de l'algorithme proposé, est évaluée et validée sur de nombreuses parcelles de référence. La spatialisation de la teneur en argile des sols est déduite à partir du calcul de la moyenne des cartes de l'état hydrique du sol (une erreur quadratique moyenne équivalent à 108 g/kg). Pour cartographier la rugosité des sols, des relations empiriques reliant le signal radar aux paramètres de rugosité (Ecart type des hauteurs et le paramètre Zg) étaient élaborées. En inversant les mesures radars, les cartes de rugosité qui en résultent, ont permis de distinguer différents états de surface des sols (labourés, dégradés ou en jachère). Dans le dernier volet, un modèle d'estimation du bilan hydrique des sols agricoles nus " MHYSAN " qui simule l'évaporation et l'état hydrique surfacique est développé. Cette dernière partie souligne le potentiel de calibrer un modèle hydrologique des sols en assimilant les produits d'humidité radars.The characterization of geometric, water and physical surface soil parameters for semi-arid regions is a key requirement for sustainable agricultural management and natural resources conservation. In this context, the current study aims to estimate the spatio-temporal variability of soil properties (soil moisture, roughness and texture) using multi-temporal X-band radar images acquired at high spatial resolution over bare agricultural site in Tunisia. In the first section of this work, a new roughness parameter was proposed; it was the Zg parameter which combines the three most commonly used soil parameters: root mean surface height "s", correlation length "l", and correlation function shape, into just one parameter. A strong correlation was observed between this new parameter and the radar backscattering simulations. The parameter Zg was validated using large database acquired at several agricultural sites in France. Secondly, the sensitivity of X-band TerraSAR-X and COSMO-SkyMed sensors to soil moisture and different roughness parameters (s, Zs=s2/l and Zg parameters) was analyzed. The radar measurements acquired at different configurations (HH and VV polarizations, incidence angles of 26° and 36°) were found to be highly sensitive to the various soil parameters of interest. After that, the performance of different physical and semi-empirical backscattering models (IEM, Baghdadi-calibrated IEM and Dubois models) is compared with SAR measurements. Considerable improvements in the IEM model performance were observed using the Baghdadi-calibrated version of this model. Thirdly, an empirical change detection approach was developed using TerraSAR-X data and ground auxiliary thetaprobe network measurements for the retrieval of surface soil moisture at a high spatial resolution. The accuracy of the soil moisture retrieval algorithm was determined, and validated successfully over numerous test fields. Maps of soil clay percentages at the studied site were derived from the mean of the seven soil moisture radar outputs (a root mean square error equal to 108 g/kg). To retrieve surface soil roughness, empirical expressions were established between backscattering TerraSAR-X coefficients data and the roughness parameters (s and Zg). By inversing radar signals, resulting surface roughness maps have revealed that is possible to use spatial roughness variability observations at plot scale to identify soil surface changes between multi-temporal images. Finally, a Bare Soil HYdrological balance Model "MHYSAN" was developed to estimate surface evaporation fluxes and soil moisture time series over our study site. The present section of this work highlighted the feasibility of calibrating our proposed MHYSAN model through the use of multi-temporal TerraSAR-X moisture products

Advanced Geoscience Remote Sensing

Nowadays, advanced remote sensing technology plays tremendous roles to build a quantitative and comprehensive understanding of how the Earth system operates. The advanced remote sensing technology is also used widely to monitor and survey the natural disasters and man-made pollution. Besides, telecommunication is considered as precise advanced remote sensing technology tool. Indeed precise usages of remote sensing and telecommunication without a comprehensive understanding of mathematics and physics. This book has three parts (i) microwave remote sensing applications, (ii) nuclear, geophysics and telecommunication; and (iii) environment remote sensing investigations

Design Data Collection with Skylab Microwave Radiometer-Scatterometer S-193, Volume 1

The author has identified the following significant results. Observations with S-193 have provided radar design information for systems to be flown on spacecraft, but only at 13.9 GHz and for land areas over the United States and Brazil plus a few other areas of the world for which this kind of analysis was not made. Observations only extended out to about 50 deg angle of incidence. The value of a sensor with such a gross resolution for most overland resource and status monitoring systems seems marginal, with the possible exception of monitoring soil moisture and major vegetation variations. The complementary nature of the scatterometer and radiometer systems was demonstrated by the correlation analysis. Although radiometers must have spatial resolutions dictated by antenna size, radars can use synthetic aperture techniques to achieve much finer resolutions. Multiplicity of modes in the S-193 sensors complicated both the system development and its employment. An attempt was made in the design of the S-193 to arrange optimum integration times for each angle and type of measurement. This unnecessarily complicated the design of the instrument, since the gains in precision achieved in this way were marginal. Either a software-controllable integration time or a set of only two or three integration times would have been better

Reports of Planetary Geology and Geophysics Program, 1990

Abstracts of reports from NASA's Planetary Geology and Geophysics Program are presented. Research is documented in summary form of the work conducted. Each report reflects significant accomplishments within the area of the author's funded grant or contract