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2018 | OriginalPaper | Buchkapitel

10. Earth Observation for Humanitarian Operations

verfasst von : Stefan Lang, Petra Füreder, Edith Rogenhofer

Erschienen in: Yearbook on Space Policy 2016

Verlag: Springer International Publishing

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Abstract

Large-scale population displacements have ever increased the need for more effective humanitarian assistance. Humanitarian organizations require up-to-date reliable information about the situation on-site. Field-based surveys are often limited in crisis situations due to time or accessibility constraints. Geospatial and Earth observation (EO) technologies have increasingly become popular in the humanitarian community. An EO-based information service was set up for Médecins Sans Frontières (MSF) which provides dedicated geospatial information products in support of their operations. The core of the service portfolio is population monitoring using dwelling extraction from (multi-temporal) very high-resolution (VHR) satellite imagery. The service is mainly requested for refugee and IDP (internally displaced people) camps. Additional services on environmental resources, including groundwater, are provided on demand. As of mid-2017, over 350 maps at 60 locations in over 20 countries have been produced.

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Vorheriges Kapitel Space Agencies’ Perspective on Space for Sustainable Development

Nächstes Kapitel The Field, Its Needs and New Technologies

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Lang et al. (2017).

Bjorgo E (2001) Supporting humanitarian relief operations. In: Baker JC, O’Connell KM, Williamson RA (eds) Commercial observation satellites: at the leading edge of global transparency. ASPRS RAND, Santa Monica, pp 403–427

Blaschke T, Hay GJ, Kelly M, Lang S, Hofmann P, Addink E, Feitosa RQ, Van der Meer F, Van der Werff H, Van Coillie F, Tiede D (2014) Geographic object-based image analysis: a new paradigm in remote sensing and geographic information science. Int J Photogramm Remote Sens 87(1):180–191CrossRef

Braun A, Lang S, Hochschild V (2016) Impact of refugee camps on their environment – a case study using multi-temporal SAR data. J Geogr Environ Earth Sci Int 4(2):1–17CrossRef

Checchi F, Stewart BT, Palmer JJ, Grundy C (2013) Validity and feasibility of a satellite imagery-based method for rapid estimation of displaced populations. Int J Health Geogr 12(4):1–12

Congalton RG, Green K (1998) Assessing the accuracy of remotely sensed data: principles and practices. Lewis Publishers, Boca RatonCrossRef

Ehrlich D, Lang S, Laneve G, Mubareka S, Schneiderbauer S, Tiede D (2009) Can Earth observation help to improve information on population? Indirect population estimations from EO derived geospatial data. In: Jasani B, Pesaresi M, Schneiderbauer S, Zeug G (eds) Remote sensing from space supporting international peace and security. Springer, Berlin, pp 211–237CrossRef

Füreder P, Lang S, Hagenlocher M, Tiede D, Wendt L, Rogenhofer E (2015) Earth observation and GIS to support humanitarian operations in refugee/IDP camps. In: Palen, Büscher, Comes, Hughes, (eds) Geospatial data and geographical information science – proceedings of the ISCRAM 2015 conference, Kristiansand

Hagenlocher M, Lang S, Tiede D (2012) Integrated assessment of the environmental impact of an IDP camp in Sudan based on very high resolution multi-temporal satellite imagery. Remote Sens Environ 126:27–38CrossRef

Kranz O, Sachs A, Lang S (2015) Assessment of environmental changes induced by internally displaced person (IDP) camps in the Darfur region, Sudan, based on multi-temporal MODIS data. Int J Remote Sens 36(1):190–210CrossRef

Lang S, Tiede D, Hölbling D, Füreder P, Zeil P (2010) EO-based ex-post assessment of IDP camp evolution and population dynamics in Zam Zam, Darfur. Int J Remote Sens 31(21):5709–5731CrossRef

Lang S, Füreder P, Kranz O, Card B, Roberts S, Papp A (2015) Humanitarian emergencies: causes, traits and impacts as observed by remote sensing. In: Thenkabail P (ed) Remote sensing handbook. Taylor and Francis, New York, pp 483–512

Lang S, Schoepfer E, Zeil P, Riedler B (2017) Earth observation for humanitarian assistance. GI Forum – J Geogr Inf Sci 1:157–165

Li D (2009) An overview of earth observation and geospatial information service. In: Li D, Shan J, Gong J (eds) Geospatial technologies for Earth observation. Springer, New York, p 556CrossRef

Schörghofer R, Lang S, Wendt L, Riedler B (2017) CMaP – collaborative mapping platform for humanitarian organisations. GI Forum – J Geogr Inf Sci 1:207–216

Spröhnle K, Tiede D, Schoepfer E, Füreder P, Svanberg A, Rost T (2014) Earth observation-based dwelling detection approaches in a highly complex refugee camp environment—a comparative study. Remote Sens 6(10):9277–9297CrossRef

Tiede D, Krafft P, Füreder P, Lang S (2017) Stratified template matching to support refugee camp analysis in OBIA workflows. Remote Sens 9:326CrossRef

Voigt S, Kemper T, Riedlinger T, Kiefl R, Scholte K, Mehl H (2007) Satellite image analysis for disaster and crisis-management support. IEEE Trans Geosci Remote Sens 45(6):1520–1528CrossRef

Voigt S, Schoepfer E, Fourie C, Mager A (2014) Towards semi-automated satellite mapping for humanitarian situational awareness. In: Global Humanitarian Technology Conference (GHTC): IEEE. San Jose, pp 412–416

Wendt L, Hilberg S, Robl J, Hochschild V, Rogenhofer E, Füreder P, Lang S, Zeil P (2014) Assisting the exploration of groundwater near refugee/IDP camps using remote sensing and GIS. In: Gemeinsame Tagung 2014 der DGfK, der DGPF, der GfGI und des GiN Hamburg

Wendt L, Lang S, Rogenhofer E (2017) Monitoring of refugee and IDP camps with Sentinel 2 imagery – a feasibility study. GI Forum – J Geogr Inf Sci 1:172–182

Zeil P, Lang S (2009) Do have clients a role in validation? In: Broglia M (ed) Validation of geo-information products for crisis management. JRC, Ispra

Titel: Earth Observation for Humanitarian Operations
verfasst von: Stefan Lang
Petra Füreder
Edith Rogenhofer
Verlag: Springer International Publishing
Buch: Yearbook on Space Policy 2016
Print ISBN: 978-3-319-72464-5

Electronic ISBN: 978-3-319-72465-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-72465-2_10

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