Exploring the utility potential of SAR interferometric coherence images

Ichoku, Charles; Karnieli, Arnon; Arkin, Yaacov; Chorowicz, J.; Fleury, T.; Rudant, Jean-Paul

doi:10.1080/014311698215658

Cited by 23 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, when two or more SAR images from slightly different imaging geometries are available, their phase difference (φ 1 -φ 2 ) can be used to generate topographic products such as Digital Elevation Models (DEMs). The interferometric coherence can be used in addition to the amplitude information to increase the accuracy of surface parameter estimates [151]. Previous studies investigating the relationship between InSAR coherence and relative soil moisture content have found promising results [53,[152][153][154].…”

Section: Interferometric Techniquesmentioning

confidence: 99%

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

2009

View full text Add to dashboard Cite

Abstract:The importance of land surface-atmosphere interactions, principally the effects of soil moisture, on hydrological, meteorological, and ecological processes has gained widespread recognition over recent decades. Its high spatial and temporal variability however, makes soil moisture a difficult parameter to measure and monitor effectively using traditional methods. Microwave remote sensing technology has demonstrated the potential to map and monitor relative soil moisture changes over large areas at regular intervals in time and also the opportunity of measuring, through inverse modelling, absolute soil moisture values. This ability has been demonstrated under a variety of topographic and land cover conditions using both active and passive microwave instruments. The purpose of this paper is to review the current status of soil moisture determination from active microwave remote sensing systems and to highlight the key areas of research that will have to be addressed to achieve routine use of the proposed retrieval approaches.

show abstract

Section: Interferometric Techniquesmentioning

confidence: 99%

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

2009

View full text Add to dashboard Cite

show abstract

“…However, the correlation loss itself provides useful information about the temporal stability and/or scattering properties of the imaged surface. For this reason, interferometric correlation is experiencing increased use in vegetation, geomorphic, and hydrologic studies (Ichoku et al 1998). 3…”

Section: Interferometric Correlationmentioning

confidence: 99%

Emerging Applications of Interferometric Synthetic Aperture Radar (InSAR) in Geomorphology and Hydrology

Smith

2002

Annals of the Association of American Geographers

108

View full text Add to dashboard Cite

Interferometric synthetic aperture radar (InSAR) is a powerful geodetic tool used to construct digital elevation models of the earth's topography and to image centimeter-scale displacements associated with crustal deformation and the flow of ice sheets. The past decade has seen significant improvements in our understanding of earthquakes, volcanoes, and glaciers as a direct result of this technology. Geomorphology and hydrology can also benefit from InSAR. A small but growing body of work shows that it is possible to interferometrically measure centimeter-scale motions associated with unstable slopes, land subsidence, fluctuating soil moisture and water levels, and deforming river-ice cover. Maps of interferometric correlation provide information about the structure of snow and reveal areas disturbed by erosion, sedimentation, flooding, snowfall, and aufeis growth. At present, such techniques are underdeveloped and largely overlooked by the geographic and radar communities. This article reviews these emerging geomorphic and hydrologic applications of InSAR and presents a first demonstration of motion detection for river ice.

show abstract

“…The images have to be precisely co-registered in order to extract the correct interferometric phase difference. Hence an imprecise coregistration caused by coherence loss between the two SAR signals will have a great influence on the DEM quality [4] [5]. The cross-correlation based image registration algorithms are sensitive to noise and are also time consuming.…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

InSAR image co-registration based on phase correlation and log polar transforms

Song

2013

2013 IEEE Radar Conference (RadarCon13)

View full text Add to dashboard Cite

The paper presents an improved subpixel image registration algorithm for InSAR image based on phase correlation and log polar transform. An improved registration technique is proposed that phase unwrapping is not necessary when two images differ only by no more than one pixel translational shift. The set of experiments based on real images demonstrate that the proposed algorithm can estimate image translation with 1/100-pixel accuracy, which leads to 0.5 degree accuracy in rotation estimation and to 1/1000 scale accuracy in scale factor estimation. The experiments also show a robust to noise.

show abstract

Exploring the utility potential of SAR interferometric coherence images

Cited by 23 publications

References 19 publications

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

Emerging Applications of Interferometric Synthetic Aperture Radar (InSAR) in Geomorphology and Hydrology

InSAR image co-registration based on phase correlation and log polar transforms

Contact Info

Product

Resources

About