Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

Banner header
9.733 Lectures/texts in conference proceedings
You are here:
View Item 
  •   DSpace Home
  • Congressos
  • BSC International Doctoral Symposium
  • 7th BSC Severo Ochoa Doctoral Symposium, Spring 2020
  • View Item
  •   DSpace Home
  • Congressos
  • BSC International Doctoral Symposium
  • 7th BSC Severo Ochoa Doctoral Symposium, Spring 2020
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Natural disasters, remote sensing, and synthetic controls

Thumbnail
View/Open
BSC_SODS-20-08_Natural disasters remote sensing.pdf (71,40Kb)
license_rdf.rdf (1,203Kb)
  View Usage Statistics
  LA Referencia / Recolecta stats
Cita com:
hdl:2117/330997

Show full item record
Serra Burriel, Feliu
Delicado Useros, Pedro FranciscoMés informacióMés informacióMés informació
Cucchietti, FernandoMés informació
Document typeConference report
Defense date2020-05
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Satellite imagery has been used for decades to study changes on Earth’s surface and understand the mechanisms that have shaped it as we know it today. Moreover, substantial improvements in computing power and the increase of data available in recent years have boosted interest for this kind of research. Pixel-based composites of large areas are easily accessible today thanks to the Google Earth Engine platform[1]. These are being used to study the evolution of different ecosystems such as forests[2], as well as the frequency of wildfires. Furthermore, technological advances over the last decades have enabled to precisely monitor variations in extreme weather events[3]. These weather phenomena seem to be larger now in quantity and size due to the increase of climate volatility[4]. The consequences of natural hazards have been mostly studied by comparing pre- and post-disaster conditions, or simple pair-wise comparisons between affected and non-affected areas, rendering inaccurate estimates[5]. We are interested in developing a system that, by means of a synthetic control approach, will enable us to causally evaluate the effects of disturbances over areas of interest using satellite imagery. Resilience is another field of interest for the research community. The decrease in resilience of regions that are recurrently hit by these events might end up making certain places inhabitable. For example, extreme weather events already have their toll on life expectancy in the US[6]. Hence, large migrations may follow as a result in the long term.
CitationSerra Burriel, F.; Delicado Useros, P.F.; Cucchietti, F. Natural disasters, remote sensing, and synthetic controls. A: . Barcelona Supercomputing Center, 2020, p. 27-28. 
URIhttp://hdl.handle.net/2117/330997
Collections
  • BSC International Doctoral Symposium - 7th BSC Severo Ochoa Doctoral Symposium, Spring 2020 [25]
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
BSC_SODS-20-08_ ... sasters remote sensing.pdf71,40KbPDFView/Open
license_rdf.rdf1,203Kbapplication/rdf+xml; charset=utf-8View/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Privacy Settings
  • Inici de la pàgina