scholarly journals An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes

2012 ◽  
Vol 4 (4) ◽  
pp. 975-986 ◽  
Author(s):  
Marc Simard ◽  
Scott Hensley ◽  
Marco Lavalle ◽  
Ralph Dubayah ◽  
Naiara Pinto ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Empirical Assessment ◽  
Temporal Decorrelation ◽  
Forested Landscapes ◽  
Aerial Vehicle ◽  
Aperture Radar

scholarly journals Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)

2018 ◽  
Vol 10 (11) ◽  
pp. 1781 ◽  
Author(s):  
Mehdi Darvishi ◽  
Romy Schlögel ◽  
Christian Kofler ◽  
Giovanni Cuozzo ◽  
Martin Rutzinger ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Land Surface ◽  
Surface Deformation ◽  
Phase Changes ◽  
Field Conditions ◽  
Surface Velocity ◽  
Synthetic Aperture ◽  
South Tyrol ◽  
Temporal Decorrelation ◽  
Aperture Radar

The Copernicus Sentinel-1 mission provides synthetic aperture radar (SAR) acquisitions over large areas with high temporal and spatial resolution. This new generation of satellites providing open-data products has enhanced the capabilities for continuously studying Earth surface changes. Over the past two decades, several studies have demonstrated the potential of differential synthetic aperture radar interferometry (DInSAR) for detecting and quantifying land surface deformation. DInSAR limitations and challenges are linked to the SAR properties and the field conditions (especially in mountainous environments) leading to spatial and temporal decorrelation of the SAR signal. High temporal decorrelation can be caused by changes in vegetation (particularly in nonurban areas), atmospheric conditions, or high ground surface velocity. In this study, the kinematics of the complex and vegetated Corvara landslide, situated in Val Badia (South Tyrol, Italy), are monitored by a network of three permanent and 13 monthly measured benchmark points measured with the differential global navigation satellite system (DGNSS) technique. The slope displacement rates are found to be highly unsteady and reach several meters a year. This paper focuses firstly on evaluating the performance of DInSAR changing unwrapping and coherence parameters with Sentinel-1 imagery, and secondly, on applying DInSAR with DGNSS measurements to monitor an active and complex landslide. To this end, 41 particular SAR images, coherence thresholds, and 2D and 3D unwrapping processes give various results in terms of reliability and accuracy, supporting the understanding of the landslide velocity field. Evolutions of phase changes are analysed according to the coherence, the changing field conditions, and the monitored ground-based displacements.

scholarly journals ESTIMATION OF DATA MEMORY CAPACITY FOR CIRCULARLY POLARIZED SYNTHETIC APERTURE RADAR ONBOARD UNMANNED AERIAL VEHICLE PLATFORM (CP-SAR UAV)

2011 ◽  
Vol 7 (1) ◽  
Author(s):  
P. Rizki Akbar ◽  
J.T. Sri Sumantyo ◽  
V.C.Koo ◽  
H.Kuzel
Keyword(s):  
Synthetic Aperture Radar ◽  
Unmanned Aerial Vehicle ◽  
Early Stage ◽  
Low Cost ◽  
Image Data ◽  
Memory Capacity ◽  
Synthetic Aperture ◽  
Circularly Polarized ◽  
Aerial Vehicle ◽  
Aperture Radar

Previously only linear polarization is widely used in the Synthetic Aperture Radar(SAR) system onboard spaceborne and airborne platforms. In such linearly polarized SAR(LP-SAR) systems, Faraday rotation in the ionosphere and platform posture will contribute tothe system noise. Therefore to improve this situation, currently a novel Circularly PolarizedSynthetic Aperture Radar (CP-SAR) sensor is developed in Microwave Remote SensingLaboratory, Chiba University. Moreover, from this research, a new backscattering data basedon circularly polarized wave in the remote sensing field can be obtained. As an early stage ofthe development of this CP-SAR sensor, we built an Unmanned Aerial Vehicle (UAV)platform for testing CP-SAR sensor capabilities. In this paper, we describe the novel CP-SARsensor and the method to design CP-SAR UAV especially in estimating the requirement ofdata memory capacity. Also a smaller antenna is possible to be implemented since the 3-dBaxial ratio on antenna characteristic becomes the main parameter in this new CP-SARtechnique. Hence, a compact CP-SAR sensor onboard a small and low cost spaceborneplatform yielding a high accuracy SAR image data can be realized in the near future.

scholarly journals Synthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehicle

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 45100-45112 ◽  
Author(s):  
Maria Garcia Fernandez ◽  
Yuri Alvarez Lopez ◽  
Ana Arboleya Arboleya ◽  
Borja Gonzalez Valdes ◽  
Yolanda Rodriguez Vaqueiro ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Unmanned Aerial Vehicle ◽  
Ground Penetrating Radar ◽  
Imaging System ◽  
Radar Imaging ◽  
Landmine Detection ◽  
Synthetic Aperture ◽  
Aerial Vehicle ◽  
Ground Penetrating ◽  
Aperture Radar

scholarly journals A NEW UNMANNED AERIAL VEHICLE SYNTHETIC APERTURE RADAR FOR ENVIRONMENTAL MONITORING

2012 ◽  
Vol 122 ◽  
pp. 245-268 ◽  
Author(s):  
Voon Chet Koo ◽  
Yee Kit Chan ◽  
Vetharatnam Gobi ◽  
Ming Yam Chua ◽  
Chot Hun Lim ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
Synthetic Aperture Radar ◽  
Unmanned Aerial Vehicle ◽  
Synthetic Aperture ◽  
Aerial Vehicle ◽  
Aperture Radar

scholarly journals Prototype of Dual DDS FMCW Transmitter for L-Band Synthetic Aperture Radar

2018 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
E. Edwar ◽  
Achmad Munir
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Continuous Wave ◽  
Synthetic Aperture ◽  
Analog Filter ◽  
Remote Sensing Technique ◽  
Direct Digital Synthesizer ◽  
Aerial Vehicle ◽  
L Band ◽  
Aperture Radar

One of the popular remote sensing technique is remote sensing using radar technology such as Synthetic Aperture Radar (SAR). In this paper, a compact SAR prototype transmitter was designed so it could be installed in small platform. This SAR transmitter was designed to generate a frequency modulated continuous wave (FMCW) using direct digital synthesizer (DDS) integrated with RF front end modules such as analog filter and power amplifier. The bandwidth of the radar spectrum is 10 MHz, and the carrier frequency used is 1.27 GHz. The L-Band has been chosen as the carrier signal in order to detect the target (trees). The payload was designed for aerial vehicle, hence the choice of components should be as small as possible. The FMCW-SAR transmitter was implemented by using DDS module AD9850 and integrated with another RF component. The FMCW-SAR transmitter produces the transmit power about -17.67 dBm.

scholarly journals Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)

2017 ◽  
Vol 31 (1) ◽  
pp. 99-107
Author(s):  
Laode M Golok Jaya ◽  
Ketut Wikantika ◽  
Katmoko Ari Sambodo ◽  
Armi Susandi
Keyword(s):  
Standard Deviation ◽  
Synthetic Aperture Radar ◽  
Tropical Forest ◽  
Forest Cover ◽  
Carbon Stocks ◽  
Synthetic Aperture ◽  
Alos Palsar ◽  
Temporal Decorrelation ◽  
Mapping Technology ◽  
Aperture Radar

This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change mitigation effort. PolInSAR technique combines the advantages of Polarimetric Synthetic Aperture Radar (PolSAR) and Interferometry Synthetic Aperture Radar (InSAR) technique, which is evidenced to have significant contribution in radar mapping technology in the last few years. In carbon stocks estimation, PolInSAR provides information about vertical vegetation structure to estimate carbon stocks in the forest layers. Two coherence Synthetic Aperture Radar (SAR) images of ALOS PALSAR full-polarimetric with 46 days temporal baseline were used in this research. The study was carried out in Southeast Sulawesi tropical forest. The research method was by comparing three interferometric phase coherence images affected by temporal decorrelation and their impacts on Random Volume over Ground (RvoG) model. This research showed that 46 days temporal baseline has a significant impact to estimate tree heights of the forest cover where the accuracy decrease from R2=0.7525 (standard deviation of tree heights is 2.75 meters) to R2=0.4435 (standard deviation 4.68 meters) and R2=0.3772 (standard deviation 3.15 meters) respectively. However, coherence optimisation can provide the best coherence image to produce a good accuracy of carbon stocks.  

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