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CONTACT

Dr Stefan Lang (Coordinator) stefan.lang@sbg.ac.atBarbara Riedler barbara.riedler@sbg.ac.atLorenz Wendt lorenz.wendt@sbg.ac.at

Department of Geoinformatics, Z_GIS– University of Salzburg, Austria

Geospatial Information Serving Humanitarian User Needs

Portfolio of existing and planned services

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The purpose of this presentation isto inform about existing and planned services and to invite you to contribute test cases and ideas for

further applications

Services are at this stage of the project on different levels ranging from

ideas operationalto

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Service are provided in 3 main application fields in the humanitarian context:

Application fields

(1) Population

(2) Water

(3) Landuse

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Population

How many people live in an camp or urban area and where?

Does the population density reach a critical threshold?

In which direction does a camp grow? Where are areas of dismantling?

What is the current camp structure? Are there areas of specific purpose, origin, age or destruction?

What is the distance to infrastructure? Where is it best to put new one?

Are camps in accordance to international standards?

Support of

Planning and coordination of logistics

Planning of medical services and health care

Planning of infrastructure, water and sanitation structures

Camp coordination and camp management

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Refugee/IDP camps

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Dwelling extraction

semi-automated extraction of single dwellings

distinction of different types depending on type of roof coverage, shape, color and size

statistical information e.g. number and share of different dwellings

population estimation

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Camp outline

boundary delineated automatically

info required in rapidly expanding refugee/IDP camps

important for long-time monitoring

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Dwelling density

calculated based on extracted single dwellings

provides an easy-to-grasp overview on the spatial distribution

as density or aggregated on regular units

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Camp structure

identification if specific areas within a camp depending on predominant occurring dwelling type (e.g. ratio of tents/huts as potential indicator for newly settled areas)

aggregated to regular units, administrative units or existing camp sections

statistical information like the share of different dwelling types

Share of dwelling type

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Camp planning

distance maps to assess the number of dwellings within a certain distance of a specific infrastructure (e.g. borehole, hospitals, latrines, etc.)

assessment of minimum distances between dwellings

assessment of standards (Sphere / UNHCR)

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Camp evolution

changes of single dwellings between 2 images from different times

detection of new and dismantled single structures

aggregation to regular units indicating areas of dwelling increase or dwelling decrease

regular monitoring using newly available data

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Destroyed settlements

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Destroyed tukuls

automated detection and counting of destroyed stucturese.g. tukuls

DLR, 2010

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Urban areas

©Getty Images

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Population estimation

population estimation based on building heights / 3D living space

combination with assumptions on household size (expert-based)

differentiation between purpose of buildings (business –residential zones) based on spatial location of buildings in the urban area

on regular grid cells oraggregated to administrative boundaries

statistical information like the total amount of people (/quartier)

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Detection of displaced people

to locate areas where displaced population is gathered / living

by the combined interpretation and analysis of EO data (visual interpretation), ancillary as well as in-situ (field) information

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Water

Where are suitable geological units and structures for boreholes?

How much water is used by agriculture, irrigation, human consumption?

Where, when and how much groundwater is renewed annually within a watershed?

How do seasonal water bodies behave over time?

How can we better understand the local water cycle using remote sensing?

Support of

Groundwater exploration Groundwater management

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(Hydro-) geological mapping

Hydrogeological Reconnaissance Map

Digital ElevationModel

Satellite Imagery

Road network

availablegeological maps

+ Expert

evaluation

Satellite-derivedgeological map

availableborehole data

reduces and facilitates field work

strongly depends on geology, climate and availability of maps and borehole data

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Automated mapping of open water bodies

automatically detect water bodies in free-of-charge remote sensing data

temporal analysis of surface area, ideally combined with depth, DEM, elevation of water surface to derive water volume

to find areas of potential groundwater renewal and flood-threatened areas

estimate run-off and evaporation deficit

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Ground subsidence monitoringfor groundwater abstraction estimation

groundwater abstraction can lead to ground subsidence

radar satellite data can be used to measure subsidence

estimation of abstraction rates from subsidence

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Estimation of Evapotranspiration

Two options:

use of a water uptake rate by plant/land cover type, then estimate for entire area

estimate from surface energy balance model, using incoming radiation and temperatures measured by thermal remote sensing

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How is the impact of influx of population on the environment?

How much natural resource are available for potential camps?

How is the change of vegetation in the context of vector-borne diseases?

How is the impact of land cover change on water availability?

Support of

Camp management Planning of health care

and epidemiology Planning of conservation

measures

Land Use

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Landuse change around camps

change of land use and land cover around camps between different time steps

combined interpretation and analysis of EO data, ancillary and in-situ data

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Vegetation change

change of vegetation between different time steps

vegetation gain, loss, decrease, increase and change todifferent vegetation types

aggregation to regular units

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How vulnerable are specific areas regarding natural disasters, conflicts or food shortage?

Support of

Planning and coordination of precaution measures

Vulnerability

© Reuters

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Vulnerability

identification of suitable indicators to assess vulnerability in an humanitarian and disaster context

combination of EO data, EO4HumEn+ products and socio-economic data

regular monitoring of key vulnerability factors

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For further information please contact

Dr Stefan Lang (Coordinator) stefan.lang@sbg.ac.atBarbara Riedler barbara.riedler@sbg.ac.atLorenz Wendt lorenz.wendt@sbg.ac.at