735 research outputs found
A novel optimization approach to forest height reconstruction from multi-baseline data
No full textThe paper deals with the problem of reconstructing the
height of forests from polarimetric/multi-baseline SAR data. The
approach consists of optimizing an objective functional defined
as the distance between the measured data and the data predicted
by the model at the actual estimate of the unknowns.
We indicate the role of global optimization on the performance of
the forest height reconstruction algorithm. As global optimizer, a
multilevel single-linkage method, which incorporates a local
optimization into the global search, is exploited, thus offering
computational efficiency and reliability. The performance of the
method are illustrated against numerically simulated data
Coherent scatterers detection: application over glacier terrain using TerraSAR-X time series data
No full textThis paper investigates the detection of Coherent Scatterers
(CSs) in ice and glacier terrain by means of TerraSAR-X
time series data in the test site of the Helheim Glacier in
Greenland. CSs are evaluated with respect to detection and
potential applications. Applying optimized detection scheme
can be useful for retrieving information about the glacier
movement using time series data. Finally, some conclusions
about the temporal stability of natural CSs are obtained by
analyzing the rocky area around the glacier
Soil Moisture Estimation Using Dual-Polarimetric Coherent (HH/VV) TerraSAR-X and TanDEM-X Data
No full textThe Glen Affric radar project: investigating applications of polarimetric SAR interferometry
No full textSoil Moisture Retrieval under Forest Using Polarimetric Decomposition Techniques at P-Band
No full textThe Glen Affric radar project: forest mapping using polarimetric interferometry
No full textIn this paper we describe the Glen Affric
radar project, a multi-disciplinary program addressing
the ability of polarimetric radar interferometry to
provide quantitative vegetation structural information of
importance in forest mapping and ecology studies
Parameter inversion of reduced SAR flight-tracks: First results over forest
No full textIn this paper, inversion of Synthetic Aperture Radar data is dealt with and, in particular, the problem of reconstructing forest height is addressed. The forest is modelled as a random volume of particles over a rough ground. Under this model, the forest height turns out to be related to the bandwidth of the scattered field. The inversion is cast as an optimization one. Preliminary results using DLR-ESAR experimental SAR data are shown
Soil moisture estimation using a multi-angular modified three component polarimetric decomposition
No full textIn this paper a modified three component polarimetric
decomposition incorporating multi-angular acquisitions is
developed to estimate soil moisture under vegetation
cover over agricultural areas. The approach is applied on
fully-polarimetric L-band data acquired by DLR’s
airborne E-SAR sensor in the frame of the OPAQUE
campaign conducted in May 2008 in the Weißeritz
catchment area, near Dresden, Germany. The results for
the estimated soil moisture from the overlapping area of
the flight strips demonstrate a significant increase of the
inversion rate, if more than one acquisition is used. The
inverted soil moisture values are validated against in situ
measurements for five test fields with different crop types
resulting in an RMSE of approximately 7vol.% for
different incidence angle constellations. Finally the results
show how topographic effects in the soil moisture
retrieval can be compensated by multi-angular
constellations
MULTIBASELINE POLARIMETRIC SAR INTERFEROMETRY FOREST HEIGHT INVERSION APPROACHES
No full textPolarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique that is sensitive to the vertical distribution of scattering processes in volumes. The Random Volume over Ground (RVoG) model is a powerful tool used to invert forest height from Pol-InSAR data. But Pol-InSAR inversion performance depends critically on uncompensated decorrelation contributions (i.e. temporal decorrelation in repeat pass system) and the height sensitivity of the effective baseline, represented by the vertical wavenumber . To overcome these constraints a multibaseline Pol-InSAR inversion approach could be an effective solution. In this paper, different approaches for combining multibaseline Pol-InSAR inversion results are proposed and discussed. Multibaseline Pol-InSAR data acquired by DLR’s E-SAR system over the Traunstein forest during the TempoSAR 2008 campaign are used
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