scholarly journals Studying the Applicability of X-Band SAR Data to the Network-Scale Mapping of Pavement Roughness on US Roads

2020 ◽  
Vol 12 (9) ◽  
pp. 1507 ◽  
Author(s):  
Franz J. Meyer ◽  
Olaniyi A. Ajadi ◽  
Edward J. Hoppe
Keyword(s):  
High Resolution ◽  
Remote Sensing Data ◽  
Ride Quality ◽  
International Roughness Index ◽  
Pavement Roughness ◽  
X Band ◽  
The Us ◽  
Network Scale ◽  
Sar Data ◽  
Satellite Radar

The traveling public judges the quality of a road mostly by its roughness and/or ride quality. Hence, mapping, monitoring, and maintaining adequate pavement smoothness is of high importance to State Departments of Transportation in the US. Current methods rely mostly on in situ measurements and are, therefore, time consuming and costly when applied at the network scale. This paper studies the applicability of satellite radar remote sensing data, specifically, high-resolution Synthetic Aperture Radar (SAR) data acquired at X-band, to the network-wide mapping of pavement roughness of roads in the US. Based on a comparison of high-resolution X-band Cosmo-SkyMed images with road roughness data in the form of International Roughness Index (IRI) measurements, we found that X-band radar brightness generally increases when pavement roughness worsens. Based on these findings, we developed and inverted a model to distinguish well maintained road segments from segments in need of repair. Over test sites in Augusta County, VA, we found that our classification scheme reaches an overall accuracy of 92.6%. This study illustrates the capacity of X-band SAR for pavement roughness mapping and suggests that incorporating SAR into DOT operations could be beneficial.

scholarly journals Brief Communication: Rapid mapping of landslide events: the 3 December 2013 Montescaglioso landslide, Italy

2014 ◽  
Vol 14 (7) ◽  
pp. 1835-1841 ◽  
Author(s):  
A. Manconi ◽  
F. Casu ◽  
F. Ardizzone ◽  
M. Bonano ◽  
M. Cardinali ◽  
...  
Keyword(s):  
High Resolution ◽  
Synthetic Aperture Radar ◽  
Southern Italy ◽  
Surface Deformation ◽  
Synthetic Aperture ◽  
Sar Images ◽  
Main Road ◽  
Rapid Mapping ◽  
X Band ◽  
Sar Data

Abstract. We present an approach to measure 3-D surface deformations caused by large, rapid-moving landslides using the amplitude information of high-resolution, X-band synthetic aperture radar (SAR) images. We exploit SAR data captured by the COSMO-SkyMed satellites to measure the deformation produced by the 3 December 2013 Montescaglioso landslide, southern Italy. The deformation produced by the deep-seated landslide exceeded 10 m and caused the disruption of a main road, a few homes and commercial buildings. The results open up the possibility of obtaining 3-D surface deformation maps shortly after the occurrence of large, rapid-moving landslides using high-resolution SAR data.

scholarly journals Intermittent SBAS (ISBAS) InSAR with COSMO-SkyMed X-band high resolution SAR data for landslide inventory mapping in Piana degli Albanesi (Italy)

2014 ◽  
Author(s):  
Francesca Cigna ◽  
Alessandro Novellino ◽  
Colm J. Jordan ◽  
Andrew Sowter ◽  
Massimo Ramondini ◽  
...  
Keyword(s):  
High Resolution ◽  
Landslide Inventory ◽  
X Band ◽  
Sar Data

scholarly journals 3D-VAR multilayer assimilation of X-band SAR data into a detailed snowpack model

2013 ◽  
Vol 7 (5) ◽  
pp. 4881-4912 ◽  
Author(s):  
X. V. Phan ◽  
L. Ferro-Famil ◽  
M. Gay ◽  
Y. Durand ◽  
M. Dumont ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Remote Sensing Data ◽  
Backscattering Coefficient ◽  
Snow Density ◽  
X Band ◽  
Dense Media ◽  
Sar Data ◽  
Electromagnetic Backscattering ◽  
Assimilation Scheme ◽  
Structure Properties

Abstract. We introduce a variational data assimilation scheme to assimilate X-band Synthetic Aperture Radar (SAR) data into a snowpack evolution model. The structure properties of a snowpack, such as snow density and grain optical diameter of each layer, are simulated over a period of time by the snow metamorphism model Crocus, fed by the local reanalysis SAFRAN at a French alpine location. These parameters are used as inputs of an Electromagnetic Backscattering Model (EBM) based on Dense Media Radiative Transfer (DMRT) theory, which calculates the simulated total backscattering coefficient. Next, 3D-VAR data assimilation is implemented in order to minimize the discrepancies between model simulations and observations obtained from SAR acquisitions, by modifying the parameters of a multilayer snowpack calculated by Crocus. The algorithm then reinitializes Crocus with the optimized snowpack structure properties, and therefore allows it to continue the simulation of snowpack evolution where adjustments based on remote sensing data has been taken into account. Results obtained using TerraSAR-X acquisitions on Argentière Glacier (Mont-Blanc massif, French Alps) show the high potential of this method for improving snow cover simulation.

Fusion of High-Resolution SAR and Optical Imageries Based on a Wavelet Transform and IHS Integrated Algorithm

2021 ◽  
Vol 52 ◽  
pp. 62-72
Author(s):  
Abdelrahman Yehia ◽  
Mohamed Safy ◽  
Ahmed S. Amein
Keyword(s):  
Wavelet Transform ◽  
High Resolution ◽  
Optical Sensors ◽  
Remote Sensing Data ◽  
Optical Image ◽  
Data Sets ◽  
Sar Image ◽  
Volume Data ◽  
Fusion Algorithm ◽  
Sar Data

Multi-sensor remote sensing data can significantly improve the interpretation and usage of large volume data sources. A combination of satellite Synthetic Aperture Radar (SAR) data and optical sensors enables the use of complementary features of the same image. In this paper, SAR data is injected into optical image using a combining fusion method based on the integration of wavelet Transform and IHS (Intensity, Hue, and Saturation) transform. Not only to preserve the spectral information of the original (MS) image, but also to maintain the spatial content of the high-resolution SAR image. Two data sets are used to evaluate the proposed fusion algorithm: one of them is Pleiades, Turkey and the other one is Boulder, Colorado, USA. The different fused outputs are compared using different image quality indices. Visual and statistical assessment of the fused outputs displays that the proposed approach has an effective translation from SAR to the optical image. Hence, enhances the SAR image interpretability.

Possibilities of Archaeological Prospection by High-resolution X-band Satellite Radar - a Case Study from Syria

2013 ◽  
Vol 20 (2) ◽  
pp. 97-108 ◽  
Author(s):  
R. Linck ◽  
T. Busche ◽  
S. Buckreuss ◽  
J. W. E. Fassbinder ◽  
S. Seren
Keyword(s):  
High Resolution ◽  
Archaeological Prospection ◽  
X Band ◽  
Satellite Radar

Multi-temporal DInSAR analysis with X-band high resolution SAR data: examples and potential

2010 ◽  
Author(s):  
Fabio Bovenga ◽  
Davide Oscar Nitti ◽  
Alberto Refice ◽  
Raffaele Nutricato ◽  
Maria Teresa Chiaradia
Keyword(s):  
High Resolution ◽  
X Band ◽  
Multi Temporal ◽  
Sar Data

scholarly journals Forest Assessment Using High Resolution SAR Data in X-Band

2011 ◽  
Vol 3 (4) ◽  
pp. 792-815 ◽  
Author(s):  
Roland Perko ◽  
Hannes Raggam ◽  
Janik Deutscher ◽  
Karlheinz Gutjahr ◽  
Mathias Schardt
Keyword(s):  
High Resolution ◽  
Forest Assessment ◽  
X Band ◽  
Sar Data
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