An Observation Task Chain Representation Model for Disaster Process-Oriented Remote Sensing Satellite Sensor Planning: A Flood Water Monitoring Application

Yang, Chao; Luo, Jin; Hu, Chuli; Tian, Lu; Li, Jie; Wang, Ke

doi:10.3390/rs10030375

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…The "Geosensor" enables unified presentation and analysis of multiple heterogeneous observation platforms. In 2016, scholars Nengcheng Chen and Chuli Hu proposed a study based on "Geospatial Sensor Integration Management", which mainly integrates different remote sensing satellites for Earth observation to achieve multiple sensing of surface environmental elements [38][39][40][41][42]. The research aims to improve the reliability and accuracy of macro-environmental observation.…”

Section: Discussionmentioning

confidence: 99%

Integrated Node Infrastructure for Future Smart City Sensing and Response

Chen

Zhang

Zhang³

et al. 2023

Remote Sensing

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Emerging smart cities and digital twins are currently built from heterogenous cutting-edge low-power remote sensing systems limited by diverse inefficient communication and information technologies. Future smart cities delivering time-critical services and responses must transition towards utilizing massive numbers of sensors and more efficient integrated systems that rapidly communicate intelligent self-adaptation for collaborative operations. Here, we propose a critical futuristic integrated communication element named City Sensing Base Station (CSBS), inspired by base stations for cell phones that address similar concerns. A CSBS is designed to handle massive volumes of heterogeneous observation data that currently need to be upgraded by middleware or registered. It also provides predictive and interpolation modelling for the control of sensors and response units such as emergency services and drones. A prototype of CSBS demonstrated that it could unify readily available heterogeneous sensing devices, including surveillance video, unmanned aerial vehicles, and ground sensor webs. Collaborative observation capability was also realized by integrating different object detection sources using advanced computer-vision technologies. Experiments with a traffic accident and water pipeline emergency showed sensing and intelligent analyses were greatly improved. CSBS also significantly reduced redundant Internet connections while maintaining high efficiency. This innovation successfully integrates high-density, high-diversity, and high-precision sensing in a distributed way for the future digital twin of cities.

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Section: Discussionmentioning

confidence: 99%

Integrated Node Infrastructure for Future Smart City Sensing and Response

Chen

Zhang

Zhang³

et al. 2023

Remote Sensing

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“…In summary, the existing disaster information models rarely consider the spatio-temporal factor; most of them record spatio-temporal information as common attributes [ 61 ]. A meteorological disaster system is a typical kind of structure and process, which is inherently bound to time and space.…”

Section: Remote Sensing Monitoring Approachesmentioning

confidence: 99%

Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges

2022

IJERPH

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Meteorological disaster monitoring is an important research direction in remote sensing technology in the field of meteorology, which can serve many meteorological disaster management tasks. The key issues in the remote sensing monitoring of meteorological disasters are monitoring task arrangement and organization, meteorological disaster information extraction, and multi-temporal disaster information change detection. To accurately represent the monitoring tasks, it is necessary to determine the timescale, perform sensor planning, and construct a representation model to monitor information. On this basis, the meteorological disaster information is extracted by remote sensing data-processing approaches. Furthermore, the multi-temporal meteorological disaster information is compared to detect the evolution of meteorological disasters. Due to the highly dynamic nature of meteorological disasters, the process characteristics of meteorological disasters monitoring have attracted more attention. Although many remote sensing approaches were successfully used for meteorological disaster monitoring, there are still gaps in process monitoring. In future, research on sensor planning, information representation models, multi-source data fusion, etc., will provide an important basis and direction to promote meteorological disaster process monitoring. The process monitoring strategy will further promote the discovery of correlations and impact mechanisms in the evolution of meteorological disasters.

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“…There are over 1,700 Earth observation satellites in operation (74). Earth observation images from many of these satellites are accessible free of charge via open data platforms, as are the majority of Earth observation image derivatives.…”

Section: Low-cost Access To Vast Amounts Of Datamentioning

confidence: 99%

Using Earth observation images to inform risk assessment and mapping of climate change-related infectious diseases

Kotchi¹,

Bouchard²,

Ludwig³

et al. 2019

CCDR

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The number of human cases of several climate-related infectious diseases, including tick-and mosquito-borne diseases, has increased in Canada and other parts of the world since the end of the last century. Predicting and mapping the risks associated with these diseases using environmental and climatic determinants derived from satellite images is an emerging method that can support research, surveillance, prevention and control activities and help to better assess the impacts of climate change in Canada. Earth observation images can be used to systematically monitor changes in the Earth's surface and atmosphere at different scales of time and space. These images can inform estimation and monitoring of environmental and climatic determinants, and thus disease prediction and risk mapping. The current array of Earth observation satellites provides access to a large quantity and variety of data. These data have different characteristics in terms of spatial, temporal and thematic precision and resolution. The objectives of this overview are to describe how Earth observation images may inform risk assessment and mapping of tick-borne and mosquito-borne diseases in Canada, their potential benefits and limitations, the implications and next steps.

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An Observation Task Chain Representation Model for Disaster Process-Oriented Remote Sensing Satellite Sensor Planning: A Flood Water Monitoring Application

Cited by 8 publications

References 26 publications

Integrated Node Infrastructure for Future Smart City Sensing and Response

Integrated Node Infrastructure for Future Smart City Sensing and Response

Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges

Using Earth observation images to inform risk assessment and mapping of climate change-related infectious diseases

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