scholarly journals REPEAT-PASS INTERFEROMETRIC AND BACKSCATTER ANALYSIS OF X-BAND PAZ SATELLITE – FIRST RESULTS

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 253-258
Author(s):  
S. Abdikan ◽  
C. Bayik ◽  
M. Ustuner ◽  
F. Balik Sanli
Keyword(s):  
High Resolution ◽  
Sand Dunes ◽  
Ground Surface ◽  
Central Anatolia ◽  
X Band ◽  
First Results ◽  
Multi Temporal ◽  
Sar Imagery ◽  
Single Polarization ◽  
New Generation

Abstract. In this paper we present the initial results of PAZ Synthetic Aperture Radar (SAR) imagery for the first time. In the study, the potential of repeat-pass high resolution PAZ images were investigated. To this aim, both linear backscatter and interferometric results were presented. We used multi-temporal X-band (3.1 cm wavelength) new generation single look complex (SLC) data from Spanish PAZ in single polarization data. PAZ is based on TerraSAR-X/TanDEM-X platform to establish a constellation with them to shorten the revisit time and increase data acquisition capacity. We applied two analysis on PAZ data to assess the performance of the satellite images. For the analysis a semi-arid and almost flat region of Central Anatolia was selected. The images are acquired in both ascending and descending orbits. Each pair has 33 days of temporal baselines. Firstly, backscatter analysis was conducted over the region for different land cover classes. Secondly interferometric analysis was applied to determine phase difference and coherence features. As the region has sand dunes, bareland and uncultivated agricultural fields the coherence analysis showed high values, while cultivated fields showed variations of coherence due to different growth of vegetation. Since the region is prone to sinkhole formation the high-resolution PAZ indicated its advantage as determining a sinkhole that has a circle shape. The displacement of ground surface is determined in line of sight direction.

scholarly journals Some Considerations for the Use of High-Resolution Mobile Radar Data in Tornado Intensity Determination

2014 ◽  
Vol 29 (4) ◽  
pp. 799-827 ◽  
Author(s):  
Jeffrey C. Snyder ◽  
Howard B. Bluestein
Keyword(s):  
High Resolution ◽  
Rural Areas ◽  
Radar Data ◽  
Radial Velocities ◽  
Wind Speeds ◽  
Rapid Scan ◽  
X Band ◽  
Central United States ◽  
High Resolution Radar ◽  
Single Polarization

Abstract The increasing number of mobile Doppler radars used in field campaigns across the central United States has led to an increasing number of high-resolution radar datasets of strong tornadoes. There are more than a few instances in which the radar-measured radial velocities substantially exceed the estimated wind speeds associated with the enhanced Fujita (EF) scale rating assigned to a particular tornado. It is imperative, however, to understand what the radar data represent if one wants to compare radar observations to damage-based EF-scale estimates. A violent tornado observed by the rapid-scan, X-band, polarimetric mobile radar (RaXPol) on 31 May 2013 contained radar-relative radial velocities exceeding 135 m s−1 in rural areas essentially devoid of structures from which damage ratings can be made. This case, along with others, serves as an excellent example of some of the complications that arise when comparing radar-estimated velocities with the criteria established in the EF scale. In addition, it is shown that data from polarimetric radars should reduce the variance of radar-relative radial velocity estimates within the debris field compared to data from single-polarization radars. Polarimetric radars can also be used to retrieve differential velocity, large magnitudes of which are spatially associated with large spectrum widths inside the polarimetric tornado debris signature in several datasets of intense tornadoes sampled by RaXPol.

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 UPGRADE OF FOSS DATE PLUG-IN: IMPLEMENTATION OF A NEW RADARGRAMMETRIC DSM GENERATION CAPABILITY

2016 ◽  
Vol XLI-B7 ◽  
pp. 821-825 ◽  
Author(s):  
M. Di Rita ◽  
A. Nascetti ◽  
F. Fratarcangeli ◽  
M. Crespi
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Weather Conditions ◽  
Ground Sample ◽  
Satellite Systems ◽  
Stereo Reconstruction ◽  
First Results ◽  
Sar Imagery ◽  
University Of Rome

Synthetic Aperture Radar (SAR) satellite systems may give important contribution in terms of Digital Surface Models (DSMs) generation considering their complete independence from logistic constraints on the ground and weather conditions. In recent years, the new availability of very high resolution SAR data (up to 20 cm Ground Sample Distance) gave a new impulse to radargrammetry and allowed new applications and developments. Besides, to date, among the software aimed to radargrammetric applications only few show as free and open source. It is in this context that it has been decided to widen DATE (Digital Automatic Terrain Extractor) plug-in capabilities and additionally include the possibility to use SAR imagery for DSM stereo reconstruction (i.e. radargrammetry), besides to the optical workflow already developed. <br><br> DATE is a Free and Open Source Software (FOSS) developed at the Geodesy and Geomatics Division, University of Rome “La Sapienza”, and conceived as an OSSIM (Open Source Software Image Map) plug-in. It has been developed starting from May 2014 in the framework of 2014 Google Summer of Code, having as early purpose a fully automatic DSMs generation from high resolution optical satellite imagery acquired by the most common sensors. <br><br> Here, the results achieved through this new capability applied to two stacks (one ascending and one descending) of three TerraSAR-X images each, acquired over Trento (Northern Italy) testfield, are presented. Global accuracies achieved are around 6 metres. These first results are promising and further analysis are expected for a more complete assessment of DATE application to SAR imagery.

scholarly journals BUILDINGS IN HIGH RESOLUTION SAR IMAGES - IDENTIFICATION BASED ON CITYGML DATA

2015 ◽  
Vol II-3/W4 ◽  
pp. 9-16 ◽  
Author(s):  
S. Auer ◽  
A. Donaubauer
Keyword(s):  
High Resolution ◽  
City Center ◽  
Sar Images ◽  
Data Format ◽  
Building Geometry ◽  
First Results ◽  
Automated Processing ◽  
Urban Scene ◽  
System Data ◽  
Sar Imagery

Motivated by the distinct appearance of facades in high resolution SAR images with respect to signal incidence angles and polarizations, this paper introduces a way to fuse SAR imagery and 3D GIS (geoinformation system) data (format: CityGML) based on SAR simulation methods. To this end, the known building geometry is used to simulate the extent of building layover for identifying the related image parts in high resolution TerraSAR-X images. The simulated SAR images are generated and geocoded by an automated processing chain which is initialized by the automated parsing of the CityGML dataset and the TerraSAR-X orbit file. Confirming the functionality of the developed interface between simulation and CityGML, first results are presented for an urban scene in the Munich city center in order to discuss future opportunities in the context of change detection applications.

scholarly journals BACKSCATTER ANALYSIS USING MULTI-TEMPORAL SENTINEL-1 SAR DATA FOR CROP GROWTH OF MAIZE IN KONYA BASIN, TURKEY

2018 ◽  
Vol XLII-3 ◽  
pp. 9-13 ◽  
Author(s):  
S. Abdikan ◽  
A. Sekertekin ◽  
M. Ustunern ◽  
F. Balik Sanli ◽  
R. Nasirzadehdizaji
Keyword(s):  
Land Use ◽  
Plant Height ◽  
Stem Elongation ◽  
Test Site ◽  
Central Anatolia ◽  
Crop Fields ◽  
Object Based ◽  
Multi Temporal ◽  
Sar Imagery ◽  
Konya Basin

Temporal monitoring of crop types is essential for the sustainable management of agricultural activities on both national and global levels. As a practical and efficient tool, remote sensing is widely used in such applications. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) imagery was utilized to investigate the performance of the sensor backscatter image on crop monitoring. Multi-temporal C-band VV and VH polarized SAR images were acquired simultaneously by in-situ measurements which was conducted at Konya basin, central Anatolia Turkey. During the measurements, plant height of maize plant was collected and relationship between backscatter values and plant height was analysed. The maize growth development was described under Biologische Bundesanstalt, bundessortenamt und CHemische industrie (BBCH). Under BBCH stages, the test site was classified as leaf development, stem elongation, heading and flowering in general. The correlation coefficient values indicated high correlation for both polarimetry during the early stages of the plant, while late stages indicated lower values in both polarimetry. As a last step, multi-temporal coverage of crop fields was analysed to map seasonal land use. To this aim, object based image classification was applied following image segmentation. About 80 % accuracies of land use maps were created in this experiment. As preliminary results, it is concluded that Sentinel-1 data provides beneficial information about plant growth. Dual-polarized Sentinel-1 data has high potential for multi-temporal analyses for agriculture monitoring and reliable mapping.

Sub-urban landscape characterization by very high-resolution X-band COSMO-Skymed SAR images: first results

2010 ◽  
Author(s):  
Fabio Del Frate ◽  
Domenico Loschiavo ◽  
Chiara Pratola ◽  
Giovanni Schiavon ◽  
Domenico Solimini
Keyword(s):  
High Resolution ◽  
Urban Landscape ◽  
Sar Images ◽  
Landscape Characterization ◽  
X Band ◽  
First Results ◽  
Very High

First Results of Monitoring Nature Conservation Sites in Alpine Region by Using Very High Resolution (VHR) X-Band SAR Data

2013 ◽  
Vol 6 (5) ◽  
pp. 2265-2274 ◽  
Author(s):  
Iftikhar Ali ◽  
Christian Schuster ◽  
Marc Zebisch ◽  
Michael Forster ◽  
Birgit Kleinschmit ◽  
...  
Keyword(s):  
Nature Conservation ◽  
High Resolution ◽  
Alpine Region ◽  
X Band ◽  
First Results ◽  
Sar Data ◽  
Very High
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