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

Peng Ye
2022 International Journal of Environmental Research and Public Health  
Although many remote sensing approaches were successfully used for meteorological disaster monitoring, there are still gaps in process monitoring.  ...  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  ...  On the basis of multi-temporal comprehensive disaster index inversion using remote sensing images, on the one hand, the disaster occurrence area where the disaster index changes are obtained by comparing  ... 
doi:10.3390/ijerph19063701 pmid:35329388 pmcid:PMC8951235 fatcat:76piu34cdngbvpv4fgnrdbzgia

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde
2021 ISPRS International Journal of Geo-Information  
The knowledge-graph representation of scenes has been formalized through the development of a Remote Sensing Scene Ontology(RSSO)—a core ontology for an inclusive remote-sensing-scene data product.  ...  To minimize the semantic gap for remote-sensing-scene understanding, the framework puts forward the transformation of scenes by using semantic-web technologies to Remote Sensing Scene Knowledge Graphs  ...  Acknowledgments: The authors are grateful to the Google Cloud Research Credits Program for providing the credits that enabled the use of GCP for training and validating the deep-learning models.  ... 
doi:10.3390/ijgi10010032 fatcat:warifoopejaqfglljmkbatjrke

Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information

Xingtong Ge, Yi Yang, Jiahui Chen, Weichao Li, Zhisheng Huang, Wenyue Zhang, Ling Peng
2022 Remote Sensing  
This paper constructs the conceptual layer and instance layer of the knowledge graph by building a common semantic ontology of disasters and a unified spatio-temporal framework benchmark.  ...  Although the remote sensing technology can effectively provide disaster data, it still needs to consider the relevant information from multiple aspects for disaster analysis.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14051214 fatcat:ecjm6q6kujg67enufsmmn7vil4

Modeling Dynamic Beach Objects Using Spatio-Temporal Ontologies

D. van de Vlag
2006 Journal of Environmental Informatics  
This study models geospatial landscape features using spatio-temporal ontologies. A spatio-temporal ontology explicitly specifies a dynamic conceptualization of real world objects.  ...  The temporal membership functions include seasonal changes of vegetation and daily changes in wetness.  ...  The authors acknowledge Bérengère Vasseur for the collaborative research and exchange of ideas.  ... 
doi:10.3808/jei.200600074 fatcat:i3cn4x3ksjfmxhpn6c5i4lg4vy

REMOTE SENSING TECHNOLOGIES AND GEOSPATIAL MODELLING HIERARCHY FOR SMART CITY SUPPORT

M. Popov, O. Fedorovsky, S. Stankevich, V. Filipovich, A. Khyzhniak, I. Piestova, M. Lubskyi, M. Svideniuk
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Remote sensing data fusion approach for comprehensive geospatial analysis is discussed.  ...  The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented.  ...  Hydrography geospatial analysis for flooding hazard detection in urban area It is possible to predict the development of flooding/underflooding sites in urban area by the analysis of spatio-temporal series  ... 
doi:10.5194/isprs-annals-iv-5-w1-51-2017 fatcat:gnzfttoqbjantpumr6apzyp4ii

SPATIO-TEMPORAL CHANGE MODELING OF LULC: A SEMANTIC KRIGING APPROACH

S. Bhattacharjee, S. K. Ghosh
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
From empirical analysis, it may be observed that the augmentation of semantic knowledge in spatio-temporal modeling of meteorological attributes facilitate more precise forecasting of <i>LULC</i> pattern  ...  Spatio-temporal land-use/ land-cover (<i>LULC</i>) change modeling is important to forecast the future <i>LULC</i> distribution, which may facilitate natural resource management, urban planning, etc.  ...  Hence, their spatio-temporal analysis may incorporate the knowledge of LULC by semantic analysis of the terrain to achieve better accuracy.  ... 
doi:10.5194/isprsannals-ii-4-w2-177-2015 fatcat:7m6iad6rcfhujhsam7eajxs5ra

Methodologies and applications in Digital China

JingNong Weng, Irfan Rafique, Maissom Qanber Abbasi
2012 Chinese Science Bulletin  
Digital China can be viewed as a nationwide strategic project for China in response to the challenge of sustainable development of population, resources, and environment.  ...  There have been significant advancements in areas like Digital Earth (DE) concept and frameworks, spatial data modeling, storage and processing, information processing technologies for DE, emerging technologies  ...  They modeled spatiotemporal pattern of land cover change using multi temporal satellite images.  ... 
doi:10.1007/s11434-012-5446-y fatcat:acv3b4l5mfb55fsqkcbrd55zka

An Analysis of Geospatial Technologies for Risk and Natural Disaster Management

Luiz A. Manfré, Eliane Hirata, Janaína B. Silva, Eduardo J. Shinohara, Mariana A. Giannotti, Ana Paula C. Larocca, José A. Quintanilha
2012 ISPRS International Journal of Geo-Information  
The importance of remote-sensing (RS), Geographic Information System (GIS) and Global Navigation Satellite System (GNSS) data is stressed by comparing studies of the use of these technologies for natural  ...  This paper discusses the use of spatial data for risk and natural disaster management.  ...  Acknowledgments We appreciate the support of the Department of Transport Engineering of the Polytechnic School of the University of São Paulo and financial support from FAPESP and CNPq.  ... 
doi:10.3390/ijgi1020166 fatcat:ounwp27fy5gyjn5xunrd6ei5o4

Annotating data to support decision-making

Carla Geovana N. Macário, Jefersson A. dos Santos, Claudia Bauzer Medeiros, Ricardo da S. Torres
2010 Proceedings of the 6th Workshop on Geographic Information Retrieval - GIR '10  
It shows how our implementation of a framework to automate the annotation of geospatial data can be used to process real data from remote sensing images and other official Brazilian data sources.  ...  One approach to alleviate this task, is the use of semantic annotations to store the produced information.  ...  Another interesting issue involves evolution of cultures for a given set of regions (spatio-temporal analysis).  ... 
doi:10.1145/1722080.1722106 dblp:conf/gir/MacarioSMT10 fatcat:vyp4vhj3w5bmjg6vlyfgelxoiy

Geospatial technologies and digital geomorphological mapping: Concepts, issues and research

Michael P. Bishop, L. Allan James, John F. Shroder, Stephen J. Walsh
2012 Geomorphology  
Historically, the power of human visualization was primarily relied upon for analysis, introducing subjectivity and biases with respect to selection of criteria for terrain segmentation and placement of  ...  Therefore, this paper discusses conceptual foundations and illustrates how geomorphometry and mapping approaches can be used to produce geomorphological information related to the land surface and landforms  ...  Acknowledgements We thank the Geography and Spatial Science (GSS) and the Geomorphology and Land Use Dynamics (GLD) programs of the National Science Foundation for funding to help support the 41st Binghamton  ... 
doi:10.1016/j.geomorph.2011.06.027 fatcat:32bmu3u3gvc4vawqmkdn2yo3sq

Sub-Pixel Classification of MODIS EVI for Annual Mappings of Impervious Surface Areas

Narumasa Tsutsumida, Alexis Comber, Kirsten Barrett, Izuru Saizen, Ernan Rustiadi
2016 Remote Sensing  
This research demonstrated the advantages of spatio-temporal sub-pixel analysis for annual ISAs mapping and addresses the problem associated with definitions of thresholds in per-pixel approaches.  ...  For comparison, a series of RF per-pixel classifications were also developed from the same reference data using a Boolean class constructed from different thresholds of ISA proportion.  ...  The authors appreciate four anonymous reviewers for their useful comments and suggestions.  ... 
doi:10.3390/rs8020143 fatcat:zmazqbjt5zdnphl4524ai3zsoq

ORFFM: An Ontology-based Semantic Model of River Flow and Flood Mitigation

Muhammad Hussain Mughal, Zubair Ahmed Shaikh, Asim Imdad Wagan, Zahid Hussain Khand, Saif Hassan
2021 IEEE Access  
This work was conducted using the Protégé 5.5 resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health  ...  We are thankful for the Center for Research in Ubiquitous Computing (CRUC) Mohammad Ali Jinnah University (Karachi) and Sukkur IBA University (Sukkur) for research facilities.  ...  Potnis et al. presented in [51] , a Flood Scene ontology for remote sensing images to improve the spatial-temporal context of the flood-prone areas.  ... 
doi:10.1109/access.2021.3066255 fatcat:veko55whanfb7n7zskrc2t2tb4

Introduction: Uncertainty Issues in Spatial Information [chapter]

Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert
2010 Studies in Fuzziness and Soft Computing  
First, it provides a brief overview of research trends in different areas of information processing for the handling of uncertain spatial information.  ...  The discussion focuses on the diversity of spatial information, and the different challenges that may arise. Second, an overview of the contents of this edited volume is presented.  ...  Stein presents a decision making approach based on the use of remote sensing images.  ... 
doi:10.1007/978-3-642-14755-5_1 fatcat:caqarwwqrbd3xm7udj4kekap3i

FLCNDEMF: An Event Metamodel for Flood Process Information Management under the Sensor Web Environment

Nengcheng Chen, Wenying Du, Fan Song, Zeqiang Chen
2015 Remote Sensing  
FLCNDEM-based modeling is realized, and the candidate remote sensing (RS) dataset for different observing missions are provided for LZ Lake flood.  ...  The phase-based modeling and visualization intuitively display the spatial-temporal distribution and the evolution process OPEN ACCESS Remote Sens. 2015, 7 7232 of the LZ Lake flood, and it is of great  ...  The areas of LZ Lake are interpreted from satellite images every single day in this phase to sense the area changes of the lake in real time.  ... 
doi:10.3390/rs70607231 fatcat:m2ktpgxesjcwjawrt6pvepozbe

Quantifying people's experience during flood events with implications for hazard risk communication

Nataliya Tkachenko, Rob Procter, Stephen Jarvis, Jichang Zhao
2021 PLoS ONE  
Our previous results confirmed that semantic drift in social media can be used to for early detection of floods and to increase the volume of 'useful' geo-referenced data for event monitoring.  ...  In this work we use deep learning in order to determine whether images associated with 'semantically drifted' social media tags reflect changes in crowd navigation strategies during floods.  ...  Acknowledgments This research was conducted in collaboration with the British Geological Survey (BGS) and the authors are grateful for their support and feedback.  ... 
doi:10.1371/journal.pone.0244801 pmid:33411829 fatcat:5yj74be2kjhc5aklj7t7zfz4ee
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