Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies

2016 ◽  
pp. 443-457 ◽  
Author(s):  
Guido Cervone ◽  
Emily Schnebele ◽  
Nigel Waters ◽  
Martina Moccaldi ◽  
Rosa Sicignano
Keyword(s):  
Social Media ◽  
Satellite Data ◽  
Urban Areas ◽  
Damage Assessment

Situating Self-Employed Urban Women Conducting Business through Contemporary Social Media

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Shruti Kalyanaraman
Keyword(s):  
Social Media ◽  
Women Workers ◽  
Informal Economy ◽  
Urban Areas ◽  
Technological Advancement ◽  
Economic Activities ◽  
Self Employment ◽  
Home Based ◽  
Business Women ◽  
Employed Women

Informal economy includes varied set of economic activities, enterprises, jobs, and workers. The economy typically consists of enterprises and/or people that are not regulated or protected by the state. The concept originally applied to self-employment in small unregistered enterprises. It has been expanded to include wage employment in unprotected jobs. A home-based self-employed women worker can be involved as a fashion designer, a tiffin service provider, a home tutor, a person working with vendors, selling and reselling apparel, accessories to name a few. Informal self-employment is very large and heterogeneous as a category itself. There are different people working within in an informally self-employed category. The review tries to understand home based business women within the ambit of informal employment. The focus of research turns to technological advancement, social media and its impact on womens economic and business efforts. The review, using a feminist lens, understands academic researches on womens economic efforts. The reviews focus will largely be owners and own account (individually run enterprises) women workers of informal enterprises in urban areas which for ease of reference, I have termed as home-based self-employed urban woman.

scholarly journals The Influence of Friends on Teen Vaping: A Mixed-Methods Approach

2021 ◽  
Vol 18 (13) ◽  
pp. 6784
Author(s):  
Allison L. Groom ◽  
Thanh-Huyen T. Vu ◽  
Robyn L. Landry ◽  
Anshula Kesh ◽  
Joy L. Hart ◽  
...  
Keyword(s):  
Social Media ◽  
Peer Influence ◽  
Urban Areas ◽  
Online Survey ◽  
Strong Association ◽  
Self Esteem ◽  
Demographic Variables ◽  
Common Source ◽  
Sources Of Information

Vaping is popular among adolescents. Previous research has explored sources of information and influence on youth vaping, including marketing, ads, family, peers, social media, and the internet. This research endeavors to expand understanding of peer influence. Our hypothesis is that friends’ influence on teen vapers’ first electronic nicotine delivery systems (ENDS) use varies by demographic variables and awareness of ENDS advertising. In August–October 2017, youth (n = 3174) aged 13–18 completed an online survey to quantify ENDS behaviors and attitudes and were invited to participate in follow-up online research in November-December 2017 to probe qualitative context around perceptions and motivations (n = 76). This analysis focused on the ENDS users, defined as having ever tried any ENDS product, from the survey (n = 1549) and the follow-up research (n = 39). Among survey respondents, friends were the most common source of vapers’ first ENDS product (60%). Most survey respondents tried their first ENDS product while “hanging out with friends” (54%). Among follow-up research participants, the theme of socializing was also prominent. ENDS advertising and marketing through social media had a strong association with friend networks; in fact, the odds of friends as source of the first vaping experience were 2 times higher for those who had seen ENDS ads on social media compared with other types of media. The influence of friends is particularly evident among non-Hispanic Whites, Hispanics/Latinos, those living in urban areas, those living in high-income households, those with higher self-esteem, and those who experiment with vaping. These findings support the premise that peer influence is a primary social influencer and reinforcer for vaping. Being included in a popular activity appears to be a strong driving force.

Rapid damage assessment of built‐up structures using VHR satellite data in tsunami‐affected areas

2007 ◽  
Vol 28 (13-14) ◽  
pp. 3013-3036 ◽  
Author(s):  
M. Pesaresi ◽  
A. Gerhardinger ◽  
F. Haag
Keyword(s):  
Satellite Data ◽  
Damage Assessment

The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Malvina Silvestri ◽  
Federico Rabuffi ◽  
Massimo Musacchio ◽  
Sergio Teggi ◽  
Maria Fabrizia Buongiorno
Keyword(s):  
Time Series ◽  
Land Surface Temperature ◽  
Satellite Data ◽  
Land Surface ◽  
Urban Areas ◽  
Temperature Time Series ◽  
Campi Flegrei ◽  
Thermal Anomalies ◽  
Pca Method ◽  
Temperature Time

In this work, the land surface temperature time series derived using Thermal InfraRed (TIR) satellite data offers the possibility to detect thermal anomalies by using the PCA method. This approach produces very detailed maps of thermal anomalies, both in geothermal areas and in urban areas. Tests were conducted on the following three Italian sites: Solfatara-Campi Flegrei (Naples), Parco delle Biancane (Grosseto) and Modena city.

Damage assessment mapping of rural environments; integration of SAR and Optical data

2021 ◽  
Author(s):  
Shiran Havivi ◽  
Stanley R. Rotman ◽  
Dan G. Blumberg ◽  
Shimrit Maman
Keyword(s):  
Natural Disaster ◽  
Rural Areas ◽  
Urban Areas ◽  
Damage Assessment ◽  
Vegetation Index ◽  
Urban Environments ◽  
Optical Data ◽  
Damage Level ◽  
Rural Environments ◽  
Rural And Urban

<p>The damage caused by a natural disaster in rural areas differs in nature, extent, landscape and in structure, from the damage in urban environments. Previous and current studies focus mainly on mapping damaged structures in urban areas after catastrophe events such as an earthquake or tsunami. Yet, research focusing on the damage level or its distribution in rural areas is absent. In order to apply an emergency response and for effective disaster management, it is necessary to understand and characterize the nature of the damage in each different environment. </p><p>Havivi et al. (2018), published a damage assessment algorithm that makes use of SAR images combined with optical data, for rapid mapping and compiling a damage assessment map following a natural disaster. The affected areas are analyzed using interferometric SAR (InSAR) coherence. To overcome the loss of coherence caused by changes in vegetation, optical images are used to produce a mask by computing the Normalized Difference Vegetation Index (NDVI) and removing the vegetated area from the scene. Due to the differences in geomorphological settings and landuse\landcover between rural and urban settlements, the above algorithm is modified and adjusted by inserting the Modified Normalized Difference Water Index (MNDWI) to better suit rural environments and their unique response after a disaster. MNDWI is used for detection, identification and extraction of waterbodies (such as irrigation canals, streams, rivers, lakes, etc.), allowing their removal which causes lack of coherence at the post stage of the event. Furthermore, it is used as an indicator for highlighting prone regions that might be severely affected pre disaster event. Thresholds are determined for the co-event coherence map (≤ 0.5), the NDVI (≥ 0.4) and the MNDWI (≥ 0), and the three layers are combined into one. Based on the combined map, a damage assessment map is generated. </p><p>As a case study, this algorithm was applied to the areas affected by multi-hazard event, following the Sulawesi earthquake and subsequent tsunami in Palu, Indonesia, which occurred on September 28th, 2018. High-resolution COSMO-SkyMed images pre and post the event, alongside a Sentinel-2 image pre- event are used as inputs. The output damage assessment map provides a quantitative assessment and spatial distribution of the damage in both the rural and urban environments. The results highlight the applicability of the algorithm for a variety of disaster events and sensors. In addition, the results enhance the contribution of the water component to the analysis pre and post the event in rural areas. Thus, while in urban regions the spatial extent of the damage will occur in its proximity to the coastline or the fault, rural regions, even in significant distance will experience extensive damage due secondary hazards as liquefaction processes.     </p>

Air Quality Monitoring in Urban Areas Using in-Situ and Satellite Data Within Era-Planet Project

2018 ◽  
Author(s):  
Andrii Shelestov ◽  
Andrii Kolotii ◽  
Mykola Lavreniuk ◽  
Kyrylo Medyanovskyi ◽  
Vladimir Vasiliev ◽  
...  
Keyword(s):  
Air Quality ◽  
Satellite Data ◽  
Urban Areas ◽  
Quality Monitoring ◽  
Air Quality Monitoring

Post-event Only VHR Radar Satellite Data for Automated Damage Assessment

2011 ◽  
Vol 77 (10) ◽  
pp. 1037-1043 ◽  
Author(s):  
Fabio Dell’Acqua ◽  
Diego Aldo Polli
Keyword(s):  
Satellite Data ◽  
Damage Assessment ◽  
Radar Satellite

scholarly journals Multi-Temporal Landsat8 Satellite Data Based Crops and Other Land Use Spatial Estimation in Okara District of Pakistan

2018 ◽  
Author(s):  
Ibrar ul Hassan Akhtar ◽  
Athar Hussain ◽  
Kashif Javed ◽  
Hammad Ghazanfar
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Data ◽  
Urban Areas ◽  
Integrated Approach ◽  
Kappa Statistics ◽  
Digital Information ◽  
Land Use Land Cover ◽  
Land Utilization ◽  
Cropping Patterns

Developing countries like Pakistan is among those where lack of adoption to science and technology advancement is a major constraint for Satellite Remote Sensing use in crops and land use land cover digital information generation. Exponential rise in country population, increased food demand, limiting natural resources coupled with migration of rural community to urban areas had further led to skewed official statistics. This study is an attempt to demonstrate the possible use of freely available satellite data like Landsat8 under complex cropping system of Okara district of Punjab, Pakistan. An Integrated approach has been developed for the satellite data based crops and land use/cover spatial area estimation. The resultant quality was found above 96% with Kappa statistics of 0.95. Land utilization statistics provided detail information about cropping patterns as well as land use land cover status. Rice was recorded as most dominating crop in term of cultivation area of around 0.165 million ha followed by autumn maize 0.074 million ha, Fallow crop fields 0.067 million ha and Sorghum 0.047 million ha. Other minor crops observed were potato, fodder and cotton being cultivated on less than 0.010 million ha. Population settlements were observed over an area of around 0.081 million ha of land. 

scholarly journals Social Media Empowerment: How Social Media Helps to Boost Women Entrepreneurship in Indonesian Urban Areas

2013 ◽  
Vol 1 (1) ◽  
pp. 77-90 ◽  
Author(s):  
Ezmieralda Melissa ◽  
◽  
Anis Hamidati ◽  
Muninggar Sri Hamidati ◽  
◽  
...  
Keyword(s):  
Social Media ◽  
Urban Areas ◽  
Women Entrepreneurship

scholarly journals A trend study in the stratification of social media use among urban youth: Chile 2009-2019

2021 ◽  
Vol 1 ◽  
Author(s):  
Teresa Correa ◽  
Sebastián Valenzuela
Keyword(s):  
Social Media ◽  
Urban Youth ◽  
Urban Areas ◽  
Trend Study ◽  
Frequency Of Use ◽  
Gender And Age ◽  
Age Cohort ◽  
Youth Media ◽  
Probabilistic Survey ◽  
Over Time

This trend study describes changes and continuities in the stratification of usage of Facebook, Twitter, Instagram, and WhatsApp in Chile between 2009-2019—the decade that witnessed the rise of social media. Using the Youth, Media and Participation Study—a probabilistic survey conducted on an annual basis among 1,000 individuals aged 18 to 29 living in the three largest urban areas in Chile (N = 10,518)—we analyze how frequency of use and type of activities conducted on social media has varied over time along socioeconomic status, gender, and age cohort. Instead of a uniform trend towards less (or greater) inequality, the results show that each platform exhibits a unique dynamic. For instance, whereas SES-based inequality in frequency of use has decreased on Facebook over time, it has remained stable on WhatsApp and increased on Twitter and Instagram. In addition, significant differences in the likelihood of conducting different activities (e.g., chatting, commenting news, sharing links) remained across groups, even on platforms such as Facebook where frequency of use has equalized over time.

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