Remote sensing and earthquakes: A review

Тронин, А. А.

doi:10.1016/j.pce.2006.02.024

Cited by 105 publications

(75 citation statements)

References 12 publications

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“…A 40-day time period is sufficient for anomaly monitoring (Bhardwaj et al, 2017). The LST prior to earthquakes usually increased by at least 3-5 K Ouzounov and Freund, 2004;Tronin, 2006). A 1-10 K rise of LST two weeks before the main shock of 2011 Tohoku-Oki earthquake was detected around the epicenter (Zoran, 2012).…”

Section: Surface Temperature 245mentioning

confidence: 98%

Pre-seismic Thermal Anomalies from Satellite Observations: A Review

Jiao

Zhao

Shan

2017

Preprint

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Abstract. Detecting thermal anomalies prior to strong earthquakes is a key in understanding and forecasting earthquake activities because of its recognition of thermal radiation-related phenomena in seismic preparation phases. Data from satellite observations serve as a powerful tool in monitoring earthquake preparation areas at a global scale and in a nearly real-time 10 manner. Over the past several decades, many new different data sources have been utilized in this field, and progressive anomaly detection approaches have been developed. This paper dedicatedly reviews the progress and development of preseismic thermal anomaly detection technology in this decade. First, precursor parameters, including parameters from the top of the atmosphere, in the atmosphere, and on the Earth's surface, are discussed. Second, different anomaly detection methods, which are used to extract thermal anomalous signals that probably indicate future seismic events, are presented. Finally, certain 15 critical problems with the current research are highlighted, and new developing trends and perspectives for future work are discussed. The development of Earth observation satellites and anomaly detection algorithms can enrich available information sources, provide advanced tools for multilevel earthquake monitoring and improve short-and medium-term forecasting, which should play a large and growing role in pre-seismic thermal anomaly research.

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Section: Surface Temperature 245mentioning

confidence: 98%

Pre-seismic Thermal Anomalies from Satellite Observations: A Review

Jiao

Zhao

Shan

2017

Preprint

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“…Those data were used to map active faults and structures (Tronin 2006). Subsequent scientific contributions focused on the understanding and documentation of location, slip rates as well as the kinematics and dynamics of active faults on interseismic temporal scales, among others.…”

Section: First Phase: Hazard-focused Analysismentioning

confidence: 99%

One step back for a leap forward: toward operational measurements of elements at risk

Geiß

Taubenböck

2017

Nat Hazards

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“…Change detection is an important process in remote sensing applications (Copping et al, 2004;Tronin, 2006). In the change detection process, two images of the same scene captured at different time instances are used to detect changes.…”

Section: Moving Vehicle Detectionmentioning

confidence: 99%

Automatic Moving Vehicle's Information Extraction From One-Pass Worldview-2 Satellite Imagery

Mishra

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VII, WG VII/5 KEY WORDS: Satellite images, WorldView-2, vehicles detection, vehicle information, traffic, AdaBoost. ABSTRACT:There are several applications of vehicle information (position, speed, and direction). WorldView-2 satellite has three sensors: one Pan and two MS (MS-1: BGRN1, Pan, and MS-2:CYREN2). Because of a slight time gap in acquiring images from these sensors, the WorldView-2 images capture three different positions of the moving vehicles. This paper proposes a new technique to extract the vehicle information automatically by utilizing the small time gap in WorldView-2 sensors. A PCA-based technique has been developed to automatically detect moving vehicles from MS-1 and MS-2 images. The detected vehicles are used to limit the search space of the adaptive boosting (AdaBoost) algorithm in accurately determining the positions of vehicles in the images. Then, RPC sensor model of WorldView-2 has been used to determine vehicles' ground positions from their image positions to calculate speed and direction. The technique has been tested on a Worldview-2 image. A vehicle detection rate of over 95% has been achieved. The results of vehicles' speed calculations are reliable. This technique makes it feasible to use satellite images for traffic applications on an operational basis.

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Remote sensing and earthquakes: A review

Cited by 105 publications

References 12 publications

Pre-seismic Thermal Anomalies from Satellite Observations: A Review

Pre-seismic Thermal Anomalies from Satellite Observations: A Review

One step back for a leap forward: toward operational measurements of elements at risk

Automatic Moving Vehicle's Information Extraction From One-Pass Worldview-2 Satellite Imagery

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