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Demand driven data services for humanitarian aid

Schwendemann, Gina Maricela and Schneibel, Anne (2021) Demand driven data services for humanitarian aid. In: UN-SPIDER / ZFL Regional Virtual Expert Meeting for Southern Africa. UN-SPIDER / ZFL Regional Virtual Expert Meeting “Space-based Solutions for Disaster Risk Management and Emergency Response for Southern Africa”, 13.-15. Jul.2021, Bonn, Deutschland.

Full text not available from this repository.

Abstract

The project Data4Human of the Center for Satellite Based Crisis Information presented its current work for humanitarian aid. The main aspects are: Artificial intelligence for Humanitarian aid, Fusion of remote sensing data and web-based data sources, Automatisation of crisis information exchange and Remote sensing-based documentation of human rights abuse. All aspects tested artificial intelligence methods to achieve the goal. The most relevant cases were the detection of flooded areas in Mozambique after the cyclon Idai based of satellite images, open source data, social media data, and web data. Building damage detection in Moria camp, Greece after a fire, building damage detection in Beirut, Lebanon after a chemical explosion, and building identification in Kutupalong camp, Bangladesh.

Item URL in elib:https://elib.dlr.de/145656/
Document Type:Conference or Workshop Item (Speech)
Title:Demand driven data services for humanitarian aid
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schwendemann, Gina Maricelagina.schwendemann (at) dlr.deUNSPECIFIED
Schneibel, AnneAnne.Schneibel (at) dlr.dehttps://orcid.org/0000-0003-4329-1023
Date:14 July 2021
Journal or Publication Title:UN-SPIDER / ZFL Regional Virtual Expert Meeting for Southern Africa
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:artificial intelligence, humanitarian aid
Event Title:UN-SPIDER / ZFL Regional Virtual Expert Meeting “Space-based Solutions for Disaster Risk Management and Emergency Response for Southern Africa”
Event Location:Bonn, Deutschland
Event Type:international Conference
Event Dates:13.-15. Jul.2021
Organizer:UN-SPIDER / ZFL
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Schwendemann, M. Sc(TUM) Gina Maricela
Deposited On:24 Nov 2021 10:49
Last Modified:24 Nov 2021 10:49

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