scholarly journals Riding Quality Model for Asphalt Pavement Monitoring Using Phase Array Type L-band Synthetic Aperture Radar (PALSAR)

2010 ◽  
Vol 2 (11) ◽  
pp. 2531-2546 ◽  
Author(s):  
Weerakaset Suanpaga ◽  
Kamiya Yoshikazu
Keyword(s):  
Synthetic Aperture Radar ◽  
Asphalt Pavement ◽  
Synthetic Aperture ◽  
Phase Array ◽  
Quality Model ◽  
Array Type ◽  
Pavement Monitoring ◽  
L Band ◽  
Aperture Radar

scholarly journals Determinación de biomasa forestal mediante la utilización de técnicas de teledetección con imágenes radar. Estudio piloto en ámbito de la provincia de Huelva. REDIAM

2016 ◽  
pp. 71 ◽  
Author(s):  
E. Méndez ◽  
J. J. Valés ◽  
I. Pino ◽  
L. Granado ◽  
G. Montoya ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Phased Array ◽  
Synthetic Aperture ◽  
Alos Palsar ◽  
Array Type ◽  
L Band ◽  
Aperture Radar

<p>La biomasa es un recurso forestal de gran importancia en Andalucía. Por ejemplo, la aplicación WEB“ Biomasa Forestal en Andalucía” (Consejería de Medio Ambiente y Ordenación del Territorio, 2014) informa al usuario acerca de la ubicación y existencias de biomasa de las principales especies forestales de pino. No obstante, se trata de una información que demanda ser actualizada periódicamente, con rapidez, eficacia y a bajo coste, requisitos que podría cubrir la tecnología basada en Observación de la Tierra. En este artículo se presenta un estudio piloto donde se ha evaluado la tecnología radar, concretamente el sensor ALOS-PALSAR (Advanced Land Observing Satellite – Phased Array type L-band Synthetic Aperture Radar), para medir la biomasa forestal de dos montes públicos de Huelva en Junio de 2008 y de 2010. El objetivo ha sido desarrollar una metodología para la estimación de volúmenes maderables a partir de la correlación estadística de la señal radar con datos coetáneos de volumen maderable, variable extraída de planes de ordenación forestal. Como resultado, se han logrado correlaciones en torno a 0,8 y 0,7 en pino y eucalipto respectivamente. Para la obtención de biomasa a partir de los volúmenes estimados se han usado ecuaciones alométricas específicas para cada especie. Tres son las fuentes de información claves: una muestra de parcelas homogéneamente distribuidas, un modelo digital del terreno preciso y un mapa forestal actual. Por otro lado, se ha llevado a cabo el estudio de la variabilidad de volúmenes estimados entre las fechas mencionadas. La metodología obtenida podría extrapolarse a todo el territorio regional.</p>

scholarly journals Multi-Sensor InSAR Analysis of Progressive Land Subsidence over the Coastal City of Urayasu, Japan

2018 ◽  
Vol 10 (8) ◽  
pp. 1304 ◽  
Author(s):  
Yusupujiang Aimaiti ◽  
Fumio Yamazaki ◽  
Wen Liu
Keyword(s):  
Synthetic Aperture Radar ◽  
Survey Data ◽  
Land Subsidence ◽  
Ground Deformation ◽  
Tohoku Earthquake ◽  
Synthetic Aperture ◽  
Alos Palsar ◽  
The 2011 Tohoku Earthquake ◽  
L Band ◽  
Aperture Radar

In earthquake-prone areas, identifying patterns of ground deformation is important before they become latent risk factors. As one of the severely damaged areas due to the 2011 Tohoku earthquake in Japan, Urayasu City in Chiba Prefecture has been suffering from land subsidence as a part of its land was built by a massive land-fill project. To investigate the long-term land deformation patterns in Urayasu City, three sets of synthetic aperture radar (SAR) data acquired during 1993–2006 from European Remote Sensing satellites (ERS-1/-2 (C-band)), during 2006–2010 from the Phased Array L-band Synthetic Aperture Radar onboard the Advanced Land Observation Satellite (ALOS PALSAR (L-band)) and from 2014–2017 from the ALOS-2 PALSAR-2 (L-band) were processed by using multitemporal interferometric SAR (InSAR) techniques. Leveling survey data were also used to verify the accuracy of the InSAR-derived results. The results from the ERS-1/-2, ALOS PALSAR and ALOS-2 PALSAR-2 data processing showed continuing subsidence in several reclaimed areas of Urayasu City due to the integrated effects of numerous natural and anthropogenic processes. The maximum subsidence rate of the period from 1993 to 2006 was approximately 27 mm/year, while the periods from 2006 to 2010 and from 2014 to 2017 were approximately 30 and 18 mm/year, respectively. The quantitative validation results of the InSAR-derived deformation trend during the three observation periods are consistent with the leveling survey data measured from 1993 to 2017. Our results further demonstrate the advantages of InSAR measurements as an alternative to ground-based measurements for land subsidence monitoring in coastal reclaimed areas.

Monitoring Everglades freshwater marsh water level using L-band synthetic aperture radar backscatter

2014 ◽  
Vol 150 ◽  
pp. 66-81 ◽  
Author(s):  
Jin-Woo Kim ◽  
Zhong Lu ◽  
John W. Jones ◽  
C.K. Shum ◽  
Hyongki Lee ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Water Level ◽  
Freshwater Marsh ◽  
Synthetic Aperture ◽  
Radar Backscatter ◽  
L Band ◽  
Aperture Radar

scholarly journals Synthetic aperture radar (SAR)-based mapping of volcanic flows: Manam Island, Papua New Guinea

2004 ◽  
Vol 4 (2) ◽  
pp. 339-346 ◽  
Author(s):  
J. K. Weissel ◽  
K. R. Czuchlewski ◽  
Y. Kim
Keyword(s):  
Synthetic Aperture Radar ◽  
Papua New Guinea ◽  
Forest Cover ◽  
New Guinea ◽  
Pyroclastic Flows ◽  
Synthetic Aperture ◽  
Global Volcanism ◽  
L Band ◽  
Bare Surface ◽  
Aperture Radar

Abstract. We present new radar-based techniques for efficient identification of surface changes generated by lava and pyroclastic flows, and apply these to the 1996 eruption of Manam Volcano, Papua New Guinea. Polarimetric L- and P-band airborne synthetic aperture radar (SAR) data, along with a C-band DEM, were acquired over the volcano on 17 November 1996 during a major eruption sequence. The L-band data are analyzed for dominant scattering mechanisms on a per pixel basis using radar target decomposition techniques. A classification method is presented, and when applied to the L-band polarimetry, it readily distinguishes bare surfaces from forest cover over Manam volcano. In particular, the classification scheme identifies a post-1992 lava flow in NE Valley of Manam Island as a mainly bare surface and the underlying 1992 flow units as mainly vegetated surfaces. The Smithsonian's Global Volcanism Network reports allow us to speculate whether the bare surface is a flow dating from October or November in the early part of the late-1996 eruption sequence. This work shows that fully polarimetric SAR is sensitive to scattering mechanism changes caused by volcanic resurfacing processes such as lava and pyroclastic flows. By extension, this technique should also prove useful in mapping debris flows, ash deposits and volcanic landslides associated with major eruptions.

Sign in / Sign up

Export Citation Format

Share Document