Repeat-pass SAR interferometry over forested terrain

Hagberg, J.O.; Ulander, Lars M. H.; Askne, J.

doi:10.1109/36.377933

Cited by 208 publications

(101 citation statements)

References 20 publications

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“…Early results obtained using ERS repeat-pass data by Hagberg, Ulander, and Askne (1995) and Wegmüller and Werner (1995) showed that the interferometric coherence is significantly lower over forest than over open canopies, short vegetation, bare soils and urban areas. Subsequent studies of ERS-1/2 tandem data demonstrated in particular that the one-day repeat pass coherence is useful in land use mapping (Strozzi et al, 2000) and estimation of stem volume in forests (Koskinen, Pulliainen, Hyyppä, Engdahl, & Hallikainen, 2001;Santoro, Askne, Smith, & Fransson, 2002;Smith et al, 1998).…”

Section: Ers and Jers Sar In Forestry Applicationsmentioning

confidence: 99%

Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data

Wagner

Luckman

Vietmeier

et al. 2003

Remote Sensing of Environment

127

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Siberia's boreal forests represent an economically and ecologically precious resource, a significant part of which is not monitored on a regular basis. Synthetic aperture radars (SARs), with their sensitivity to forest biomass, offer mapping capabilities that could provide valuable up-to-date information, for example about fire damage or logging activity. The European Commission SIBERIA project had the aim of mapping an area of approximately 1 million km 2 in Siberia using SAR data from two satellite sources: the tandem mission of the European Remote Sensing Satellites ERS-1/2 and the Japanese Earth Resource Satellite JERS-1. Mosaics of ERS tandem interferometric coherence and JERS backscattering coefficient show the wealth of information contained in these data but they also show large differences in radar response between neighbouring images. To create one homogeneous forest map, adaptive methods which are able to account for brightness changes due to environmental effects were required. In this paper an adaptive empirical model to determine growing stock volume classes using the ERS tandem coherence and the JERS backscatter data is described. For growing stock volume classes up to 80 m 3 /ha, accuracies of over 80% are achieved for over a hundred ERS frames at a spatial resolution of 50 m. D

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Section: Ers and Jers Sar In Forestry Applicationsmentioning

confidence: 99%

Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data

Wagner

Luckman

Vietmeier

et al. 2003

Remote Sensing of Environment

127

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“…Hence, the coherence can be used as an indicator of problems due to layover. This phenomenon is strongly related to the volume-scattering effect discussed in [5] and other articles. Figure4 shows an example of this drop in coherence for the Hirschhorn museum in Washington D. C.…”

Section: From Equation (L)mentioning

confidence: 99%

The effect of scattering from buildings on interferometric SAR measurements

Bickel

Hensley²,

Yocky³

IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision Fo

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The determination of elevation models of buildings using interferometric synthetic aperture radar (IFSAR) is an important area of active research. The focus of this paper is on some of the unique scattering mechanisms that occur with buildings and how they affect the IFSAR height measurement and the coherence. We will show by theory and examples that the various data products obtained from IFSAR can be used to aid in interpreting building height results. We will also present a method that we have used successfully in mapping buildings in Washington D. C.

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“…There are three primary types of decorrelation: (a) thermal decorrelation, caused by uncorrelated noise sources within the radar instruments, (b) spatial decorrelation, caused by viewing the target from different locations in space, and (c) temporal decorrelation, typically caused by environmental changes (Henderson and Lewis 1998, Lu et al 2005a,b, Lu et al 2007). The environmental changes that can cause temporal decorrelation include vegetation growth, the erosion/deposition of surface materials, dense vegetation, the presence of ice/snow, winds sufficient to move the vegetation canopy, and the diurnal freezing/thawing and subsequent refreezing of surface materials (Wegmuller 1990, Hagberg et al 1995, Kasischke and Johnstone 2005, Ramsey et al 2006. For very dense forests, a Cband Radarsat-1 system may completely lose coherence over even the shortest observation periods (24 days for Radarsat-1).…”

Section: The Coherence Signalmentioning

confidence: 99%

Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images

Rykhus

Lü

2011

Geomatics, Natural Hazards and Risk

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Twenty-five C-band Radarsat-1 synthetic aperture radar (SAR) images acquired from the summer of 2002 to the summer of 2005 are used to map a 2003 boreal wildfire (B346) in the Yukon Flats National Wildlife Refuge, Alaska under conditions of near-persistent cloud cover. Our analysis is primarily based on the 15 SAR scenes acquired during arctic growing seasons. The Radarsat-1 intensity data are used to map the onset and progression of the fire, and interferometric coherence images are used to qualify burn severity and monitor post-fire recovery. We base our analysis of the fire on three test sites, two from within the fire and one unburned site. The B346 fire increased backscattered intensity values for the two burn study sites by approximately 5-6 dB and substantially reduced coherence from background levels of approximately 0.8 in unburned background forested areas to approximately 0.2 in the burned area. Using ancillary vegetation information from the National Land Cover Database (NLCD) and information on burn severity from Normalized Burn Ratio (NBR) data, we conclude that burn site 2 was more severely burned than burn site 1 and that C-band interferometric coherence data are useful for mapping landscape changes due to fire. Differences in burn severity and topography are determined to be the likely reasons for the observed differences in post-fire intensity and coherence trends between burn sites.

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Repeat-pass SAR interferometry over forested terrain

Cited by 208 publications

References 20 publications

Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data

Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data

The effect of scattering from buildings on interferometric SAR measurements

Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images

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