Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media

2021 ◽  
Author(s):  
Ilan Havinga ◽  
Diego Marcos ◽  
Patrick W. Bogaart ◽  
Lars Hein ◽  
Devis Tuia
Keyword(s):  
Remote Sensing ◽  
Social Media ◽  
Scenic Beauty

scholarly journals Probabilistic Flood Extent Estimates from Social Media Flood Observations

2016 ◽  
Author(s):  
Tom Brouwer ◽  
Dirk Eilander ◽  
Arnejan van Loenen ◽  
Martijn J. Booij ◽  
Kathelijne M. Wijnberg ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Social Media ◽  
Uncertain Data ◽  
Added Value ◽  
Hydraulic Models ◽  
Data Errors ◽  
Twitter Data ◽  
Elevation Data ◽  
Flood Maps

Abstract. The increasing number and severity of floods, driven by phenomena such as urbanization, deforestation, subsidence and climate change, creates a growing need for accurate and timely flood maps. This research focussed on creating flood maps using user generated content from Twitter. Twitter data has added value over traditional methods such as remote sensing and hydraulic models, since the data is available almost instantly, in contrast to remote sensing and requires less detail than hydraulic models. Deterministic flood maps created using these data showed good performance (F(2) = 0.69) for a case study in York (UK). For York the main source of uncertainty in the probabilistic flood maps was found to be the error of the locations derived from the Twitter data. Errors in the elevation data and parameters of the applied algorithm contributed less to flood extent uncertainty. Although the generated probabilistic maps tended to overestimate the actual probability of flooding, they gave a reasonable representation of flood extent uncertainty in the area. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.

scholarly journals Nowcasting and forecasting provincial-level SARS-CoV-2 case positivity using google search data in South Africa

2020 ◽  
Author(s):  
Elaine O. Nsoesie ◽  
Karla Therese L. Sy ◽  
Olubusola Oladeji ◽  
Raesetje Sefala ◽  
Brooke E. Nichols
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Social Media ◽  
Information Seeking ◽  
Disease Surveillance ◽  
Data Sources ◽  
Short Term ◽  
Search Data ◽  
Response Measures ◽  
Google Search

ABSTRACTData from non-traditional data sources, such as social media, search engines, and remote sensing, have previously demonstrated utility for disease surveillance. Few studies, however, have focused on countries in Africa, particularly during the SARS-CoV-2 pandemic. In this study, we use searches of COVID-19 symptoms, questions, and at-home remedies submitted to Google to model COVID-19 in South Africa, and assess how well the Google search data forecast short-term COVID-19 trends. Our findings suggest that information seeking trends on COVID-19 could guide models for anticipating COVID-19 trends and coordinating appropriate response measures.

Geospatial Assessment of Wetness Dynamics in the October 2015 SC Flood with Remote Sensing and Social Media

2018 ◽  
Vol 58 (2) ◽  
pp. 164-180 ◽  
Author(s):  
Cuizhen Wang ◽  
Zhenlong Li ◽  
Xiao Huang
Keyword(s):  
Remote Sensing ◽  
Social Media

scholarly journals NEAR-REAL TIME HAZARD MONITORING AND INFORMATION DISSEMINATION THROUGH INTEGRATION OF REMOTE SENSING, GIS, NUMERICAL MODELLING, WEB APPLICATIONS AND SOCIAL MEDIA

2019 ◽  
Vol IV-3/W1 ◽  
pp. 25-32
Author(s):  
M. Makinano-Santillan ◽  
J. Serviano ◽  
C. K. Rubillos ◽  
A. Amora ◽  
J. R. Santillan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Social Media ◽  
Numerical Modelling ◽  
Information Dissemination ◽  
Web Applications ◽  
Numerical Models ◽  
Transmission Of Information ◽  
End Products ◽  
Use Of Social Media

<p><strong>Abstract.</strong> In mitigating and helping lessen the possible effects and damages of disaster to the communities, the transmission of information or end products derived from remote sensing and other multidisciplinary technologies into the community should be immediate, accessible and comprehensive to aid in better planning and decision-making procedures. In this paper, we share a hazard information dissemination procedure which integrates the use of outputs derived from numerical models, web applications and systems as well as the use of social media and telecommunications to promote the utilization of advanced science and technology outputs that could represent and visualize various flooding scenarios through social media and dynamic communication between stakeholders.</p>

scholarly journals The ISPRS Student Consortium: From launch to tenth anniversary

2014 ◽  
Vol XL-6 ◽  
pp. 43-48
Author(s):  
U. Kanjir ◽  
I. Detchev ◽  
S. R. Reyes ◽  
A. Akkartal Aktas ◽  
C. Y. Lo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Social Media ◽  
International Organization ◽  
Geospatial Information ◽  
Young Professionals ◽  
Summer Schools ◽  
Information Sciences

The ISPRS Student Consortium is an international organization for students and young professionals in the fields of photogrammetry, remote sensing, and the geospatial information sciences. Since its start ten years ago, the number of members of the Student Consortium has been steadily growing, now reaching close to 1000. Its increased popularity, especially in recent years, is mainly due to the organization's worldwide involvement in student matters. The Student Consortium has helped organize numerous summer schools, youth forums, and student technical sessions at ISPRS sponsored conferences. In addition, the organization publishes a newsletter, and hosts several social media outlets in order to keep its global membership up-to-date on a regular basis. This paper will describe the structure of the organization, and it will give some example of its past student related activities.

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