Social Sensing and Big Data Computing for Disaster Management is popular PDF and ePub book, written by Zhenlong Li in 2020-12-17, it is a fantastic choice for those who relish reading online the Social Science genre. Let's immerse ourselves in this engaging Social Science book by exploring the summary and details provided below. Remember, Social Sensing and Big Data Computing for Disaster Management can be Read Online from any device for your convenience.

Social Sensing and Big Data Computing for Disaster Management Book PDF Summary

Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Detail Book of Social Sensing and Big Data Computing for Disaster Management PDF

Social Sensing and Big Data Computing for Disaster Management
  • Author : Zhenlong Li
  • Release : 17 December 2020
  • Publisher : Routledge
  • ISBN : 9781000261493
  • Genre : Social Science
  • Total Page : 205 pages
  • Language : English
  • PDF File Size : 12,6 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Social Sensing and Big Data Computing for Disaster Management by Zhenlong Li, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Cloud Computing in Remote Sensing

Cloud Computing in Remote Sensing Author : Lizhe Wang,Jining Yan,Yan Ma
Publisher : CRC Press
File Size : 36,6 Mb
Get Book
This book provides the users with quick and easy data acquisition, processing, storage and product g...

Social Sensing

Social Sensing Author : Dong Wang,Tarek Abdelzaher,Lance Kaplan
Publisher : Morgan Kaufmann
File Size : 48,7 Mb
Get Book
Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can n...