Search for dissertations about: "katastrofhantering"

Found 3 swedish dissertations containing the word katastrofhantering.

  2. 1. Bridging Boundaries in the Borderland of Bureaucracies : Individual Impact on Organisational Adaption to Demanding Situations in Civil and Military Contexts

    Author : Aida Alvinius; Gerd Lindgren; Göran Ahrne; Karlstads universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Boundary spanners; uniformed organisations; bureaucratic organisations; adaption; systems theory; contingency; stressful environment; civil-military relations; disaster management; emotional labour; Gränsöverskridare; uniformerade organisationer; byråkratier; anpassning; systemteori; contingency; påfrestande förhållanden; civil-militära relationer; katastrofhantering; emotionellt lönearbete; Sociologi; Sociology; Ledarskap under påfrestande förhållanden;

    Abstract : The purpose of this thesis is to reach a deeper understanding of how boundary spanners are bridging boundaries between uniformed bureaucratic organisations and their environment, characterised by demanding conditions.The main part of this thesis is based upon empirical data gathered through 71 interviews with Swedish civil and military informants from several uniformed organisations. READ MORE

  4. 2. Population Displacement Estimation During Disasters Using Mobile Phone Data

    Author : Silvino Pedro Cumbane; Yifang Ban; Gyözö Gidofalvi; Zeferino Saugene; John Östh; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geoinformatics; Geoinformatik;

    Abstract : Natural disasters result in devastating losses in human life, environmental assets, and personal-, regional-, and national economies. The availability of different big data such as satellite images, Global Positioning System (GPS)traces, mobile Call Detail Records (CDR), social media posts, etc. READ MORE

  5. 3. Supervised and Unsupervised Deep Learning Models for Flood Detection

    Author : Ritu Yadav; Yifang Ban; Andrea Nascetti; Nicolas Audebert; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Floods; Remote Sensing; Sentinel-1 SAR; Segmentation; Change Detection; DEM; Data Fusion; Time Series; Deep Learning; Unsupervised Learning; Contrastive Learning; Self-Attention; Convolutional LSTM; Variational AutoEncoder VAE ; Geoinformatik; Geoinformatics;

    Abstract : Human civilization has an increasingly powerful influence on the earthsystem. Affected by climate change and land-use change, floods are occurringacross the globe and are expected to increase in the coming years. Currentsituations urge more focus on efficient monitoring of floods and detecting impactedareas. READ MORE