Processing innovations to support vegetation parameter extraction using radar interferometry
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interferometry GeoSAR x-band P-band data↗
Engineering topics
Siqueira, P.
Publications and source records attributed to Siqueira, P..
Vegetation parameters using TOPSAR and GeoSAR sensors
This paper will present quantitative results of vegetation parameter extraction using interferometric data collected using the TOPSAR and GeoSAR mapping instruments.
TOPSAR GeoSAR in situ measurements radar↗
The GeoSAR topographic mapping instrument: The design, development and implementation of a precision EM interferometric SAR
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interferometric SAR radar remote sensing↗
Comparison of methods for estimating tree height using polarimetric interferometry
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estimation polarimetry↗
First p-band results using the geoSAR mapping system
GeoSAR is a program to develop a dual frequency airborne radar interferometric mapping instrument designed to meet the mapping needs of a variety of users in government and private industry.
P-band GeoSAR mapping radar↗
Performance and Optimization Metrics for Interferometric Radar
This paper provides a set of analytic equations that can be used to estimate system performance or to assist in the design of a system in that individual sources of height error can be balanced to minimize cost and maximize efficient use of resources.
optimization metrics interferometric radar interfe↗
Spaceborne SAR at UHF
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synthetic aperture radar UHF P-Band↗
The JERS-1 Amazon Multi-Season Mapping Study (JAMMS): Science Objectives and Implications for Future Missions
This paper is a summary of the JAMMS project, which has resulted in a scientific data set of very high value -- a multi-season snapshot of one of the most difficult areas on Earth to monitor.
JERS-1 SAR Amazon JAMMS Global Rain Forest Mapping↗
The JERS Amazon Multi-Season Mapping Study (JAMMS): Observation Strategies and Data Characteristics
The JERS-1 Amazon Multi-season Mapping Study (JAMMS), part of the Global Rain Forest Mapping (GRFM) project led by the National Space Development Agency of Japan (NASDA), had an ambitious agenda to completely map the Amazon River floodpain (and surrounding areas) twice at high resolution.
JERS SAR Amazon JAMMS GRFM↗
T-Matrix Determination of Effective Permittivity for Three-Dimensional Dense Random Media
In this paper we present a full-wave method for determining the effective permittivity for random media in three dimensions. The type of media addresses is composed of spherical dielectric particles in a homogeneous dielectric background.
T-Matrix↗
The "Myth" of the Minimum SAR Antenna Area Constraint
A design constraint traceable to the early days of spaceborne Synthetic Aperture Radar (SAR) is known as teh minimum antenna area constraint for SAR.
SAR↗
A Continental Scale Mosaic of the Amazon Basin Using JERS-1
In the paper, a methodology, example, and accuracy assessment are given for a continental scale mosaic of the Amazon River basin at 100 m resolution using the JERS-1 satellite.
continental scale mosaic Amazon River basin L-band↗
The "Myth" of the Minimum SAR Antenna Area Constraint
A design constraint traceable to the early days of spaceborne Synthetic Aperture Radar (SAR) is known as the minimum antenna area constraint for SAR. It specifies, as the name suggests, a minimum area for SAR antennas, to optimize performance.
design↗
Source Ambiguities for Imaging and Interferometric SAR
One of the greatest costs of any spaceborne mission is the total instrument mass. For SAR, one third of the mass is typically related to the antenna strucure, whose elevation and azimuth dimensions are used to increase the signal to noise ration as well as to reduce the presence of spurious signals.
SAR↗
Data Quality of the JERS-1 SAR Global Rain Forest Mapping (GRFM) Project
The National Space Development Agency of Japan's (NASDA) JERS-1 SAR began collecting data in 1995 for the Global Rain Forest Mapping Project (GRFM). The GRFM data quality has been examined for products resulting from both the NASDA and Alaska SAR facility's (ASF) processing facilities.
JERS-1 SAR Rain Forest Mapping↗
The "Myth" of the Minimum SAR Antenna Area Constraint
A design constraint traceable ot the early days of spaceborne Synthetic Aperture Radar (SAR) is known as the minimum antenna area constraint for SAR. In this paper, it is confirmed that this constraint strictly applies only to the case where both the best possible resolution and the widest possible swath are the design goals. SAR antennas with area smaller than the constraint allows are shown to be possible, have been used on spaceborne SAR missions in the past, and should permit further, lower-cost SAR mission in the future.
Freeman, A.↗