Suggestion of EFS-small satellite system for impending earthquake forecast

Qiang, Zuji; Ma, Aiyuan; Fangyun, Chen; Zhang, Junrong; Liu, Lingli; Lu, Zhengxin

doi:10.1007/bf02884670

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…The system could shorten the revisiting period so that any place in the world could be observed twice a day. Qiang et al (2000) extended the idea to the microwave remote sensing satellite system. The main purpose of the system was to forecast impending earthquakes.…”

Section: Disastersmentioning

confidence: 99%

Small satellite remote sensing and applications – history, current and future

Xue

Jin

et al. 2008

International Journal of Remote Sensing

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Section: Disastersmentioning

confidence: 99%

Small satellite remote sensing and applications – history, current and future

Xue

Jin

et al. 2008

International Journal of Remote Sensing

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“…The ability to accurately detect abnormal increases within time series data and effectively differentiate between seismic-related anomalous noises and those unrelated to seismic events is critical for the extraction of seismic anomalies. Currently, the algorithms employed for anomaly extraction can be broadly categorized into five main types: (1) visual interpretation [15,[25][26][27]; (2) anomalyextraction algorithms based on difference analysis; typical algorithms include the bright temperature difference method before and after an earthquake, the vorticity algorithm, the bright temperature difference method inside and outside the fault zone, etc. [28][29][30];…”

Section: Introductionmentioning

confidence: 99%

Analysis of Seismic Methane Anomalies at the Multi-Spatial and Temporal Scales

Wang,

Cui,

Zhima

et al. 2024

Remote Sensing

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Relevant studies have shown that methane gas has a close relationship with seismic activity. The concentration of methane released within a tectonic zone can reflect the intensity status of tectonic activities, which is important for seismic monitoring. In this study, the January 2020 Xinjiang Jiashi earthquake was taken as the research object, and the mature Robust Satellite Technique (RST) algorithm was used to characterize the L3-level methane product data from the hyperspectral sensor, Atmospheric Infrared Sounder (AIRS), installed on the Earth Observing System (EOS) AQUA satellite at the monthly scale, 8-day scale and daily scale. An analysis of the spatial and temporal distribution of methane was carried out for before and after the earthquake based on the 3D structural condition of the gas, and the 3D structural conditions of the 8-day scale were introduced. An 8-day scale 3D structural condition was introduced and migration validation was performed, and the results showed that (1) the seismic methane anomaly-extraction process proposed in this study is feasible; (2) the 3D contour features indicated that the methane anomalies that occurred before the Jiashi earthquake were caused by geogenic emissions; (3) the anomaly-extraction algorithm from this study did not extract the corresponding anomalies in the non-seismic year, which indicated that the anomaly-extraction algorithm of this study has some degree of feasibility; and (4) the migrated validation of the Wenchuan earthquake of May 2008 further suggested that methane anomalies at the time of the Wenchuan earthquake were caused by the earthquake.

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“…The diverse Earth monitoring based on microsatellite data has been done, included: a) hotspot detection, fires and volcanic eruptions (Walter et al 2005), b) environment monitoring, such as land use classification (Qian 2008), land surface and vegetation analysis (Becker et al 1996), agriculture, hydrology, urban and coastal area (Laguarde et al 2010), water quality (Matjafri et al 2002), global 3D imaging (Yang and Yang 2002) and c) disaster monitoring, such as cyclone, flood, drought, landslide, pollution, (Yong et al 2008;Sandau and Brieb 2008), impending earthquake forecast (Qiang et al 2000), etc.…”

Section: Introductionmentioning

confidence: 99%

“…More than half of them are classified as micro satellites with the mass between 10 and 100 kg (Sandau and Brieb 2008;Gupta et al 2016). The term "faster, cheaper and smaller" that addressed to this satellite, generally explains that the microsatellite technology is developed by countries who want to start with effective costs and affordable technology (Vincent et al 1998;Gardner et al 1996).The diverse Earth monitoring based on microsatellite data has been done, included: a) hotspot detection, fires and volcanic eruptions (Walter et al 2005), b) environment monitoring, such as land use classification (Qian 2008), land surface and vegetation analysis (Becker et al 1996), agriculture, hydrology, urban and coastal area (Laguarde et al 2010), water quality (Matjafri et al 2002), global 3D imaging (Yang andYang 2002) and c) disaster monitoring, such as cyclone, flood, drought, landslide, pollution, (Yong et al 2008;Sandau and Brieb 2008), impending earthquake forecast (Qiang et al 2000), etc.Microsatellite development is also becoming a concern of Indonesian National Institute of Aeronautics and Space (LAPAN). The mission of LAPAN-A2, as first equatorial microsatellite developed International Journal of Remote Sensing and Earth Sciences Vol.…”

mentioning

confidence: 99%

A Comparison of Object-Based and Pixel-Based Approaches for Land Use/Land Cover Classification Using Lapan-A2 Microsatellite Data

Nugroho

Zylshal

Sari

et al. 2017

IJReSES

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Abstract. In recent years, small satellite industry has been a rapid trend and become important especially when associated with operational cost, technology adaptation and the missions. One mission of LAPAN-A2, the 2 nd generation of microsatellite that developed by Indonesian National Institute of Aeronautics and Space (LAPAN), is Earth observation using digital camera that provides imagery with 3.5 m spatial resolution. The aim of this research is to compare between object-based and pixel-based classification of land use/land cover (LU/LC) in order to determine the appropriate classification method in LAPAN-A2 data processing (case study Semarang, Central Java).The LU/LC were classified into eleven classes, as follows: sea, river, fish pond, tree, grass, road, building 1, building 2, building 3, building 4 and rice field. The accuracy of classification outputs were assessed using confusion matrix. The object-based and pixel-based classification methods result for overall accuracy are 31.63% and 61.61%, respectively. According to accuracy result, it was thought that blurring effect on LAPAN-A2 data may be the main cause of accuracy decrease. Furthermore, the result is suggested to use pixel-based classification to be applied in LAPAN-A2 data processing. Keywords: LAPAN-A2 microsatellite, LU/LC, object-based, pixel-based INTRODUCTIONThe utilization of small satellite for remote sensing is increasing in recent years. Over the past 50 years, more than 1500 small satellites have been launched worldwide with well-focus on Earth observation missions. More than half of them are classified as micro satellites with the mass between 10 and 100 kg (Sandau and Brieb 2008;Gupta et al. 2016). The term "faster, cheaper and smaller" that addressed to this satellite, generally explains that the microsatellite technology is developed by countries who want to start with effective costs and affordable technology (Vincent et al. 1998;Gardner et al. 1996).The diverse Earth monitoring based on microsatellite data has been done, included: a) hotspot detection, fires and volcanic eruptions (Walter et al. 2005), b) environment monitoring, such as land use classification (Qian 2008), land surface and vegetation analysis (Becker et al. 1996), agriculture, hydrology, urban and coastal area (Laguarde et al. 2010), water quality (Matjafri et al. 2002), global 3D imaging (Yang andYang 2002) and c) disaster monitoring, such as cyclone, flood, drought, landslide, pollution, (Yong et al. 2008;Sandau and Brieb 2008), impending earthquake forecast (Qiang et al. 2000), etc.Microsatellite development is also becoming a concern of Indonesian National Institute of Aeronautics and Space (LAPAN). The mission of LAPAN-A2, as first equatorial microsatellite developed International Journal of Remote Sensing and Earth Sciences Vol. 14 No. 1 June 2017: 27 -36 by LAPAN, are maritime monitoring, disaster mitigation supporting and Earth observing by using RGB matrix camera (Hardhienata et al. 2011). This microsatellite has altitude 650 km the digital space...

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Suggestion of EFS-small satellite system for impending earthquake forecast

Cited by 7 publications

References 1 publication

Small satellite remote sensing and applications – history, current and future

Small satellite remote sensing and applications – history, current and future

Analysis of Seismic Methane Anomalies at the Multi-Spatial and Temporal Scales

A Comparison of Object-Based and Pixel-Based Approaches for Land Use/Land Cover Classification Using Lapan-A2 Microsatellite Data

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