An L-band SAR for repeat pass deformation measurements on a UAV platform

Wheeler, K.; Hensley, Scott; Lou, Yunling; Miller, Theodore K.; Hoffman, Jim

doi:10.1109/nrc.2004.1316442

Cited by 10 publications

(6 citation statements)

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“…Although researches have been undertaking repeatpass DInSAR measurements of land deformation using unmanned aerial vehicles (Wheeler et al 2004), satellite SAR constellations with global coverage are urgently needed for near real-time response to future natural hazards, such as earthquakes, because we simply do not know which country and region they will strike the next. The realisation of 'InSAR everywhere, anytime' and extensive mapping of such events globally will eventually lead to better understanding, management, and ultimately prediction of these events.…”

Section: Data Availability For Near Real-time Responsementioning

confidence: 99%

Near real-time satellite mapping of the 2015 Gorkha earthquake, Nepal

Liu¹,

Ng²,

Li³

et al. 2015

Annals of GIS

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This article discusses the near real-time (NRT) satellite mapping activities in response to the recent Gorkha earthquake in Nepal by UNSW as well as other institutions around the globe. This study demonstrates that data from current SAR satellites can already be processed and delivered in near real-time to support post-disaster response and emergency management. Three ALOS-2 PALSAR-2 interferometric pairs were used by the GEOS team at UNSW (2 Stripmap pairs and 1 ScanSAR pair) to deliver a suite of satellite remote sensing products, such as the differential interferometric SAR (DInSAR) interferogram, DInSAR ground displacement map, contour map of ground deformation, horizontal ground displacement based on the pixel offset tracking analysis, and damage map based on coherence difference analysis. This study shows that the mapping products can be released 6-8 hours after the post-event image is acquired using international ground receiving stations, with the direct mapping activities such as DInSAR and GIS processing typically taking 3-4 hours only. This study also discusses the urgent need for internationally coordinated development and deployment of SAR satellite constellations in order to greatly reduce the latency in NRT mapping of disasters, which will benefit a range of other satellite remote sensing applications as well. Moreover, it is suggested that the near real-time responses be coordinated across the globe in order to improve the effectiveness of rapid disaster mapping in order to mitigate the effects of earthquakes and other natural disasters.

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Section: Data Availability For Near Real-time Responsementioning

confidence: 99%

Near real-time satellite mapping of the 2015 Gorkha earthquake, Nepal

Liu¹,

Ng²,

Li³

et al. 2015

Annals of GIS

View full text Add to dashboard Cite

show abstract

“…We tested these features using different sliding window sizes (5,7,8,9) and mother wavelets (Daubechies, Haar, Symlet, and Biorthogonal) and selected those that maximize the separation of the targets of interest from the background [15].…”

Section: B Textural Featuresmentioning

confidence: 99%