Datasets¶
The data used in this course is available for download at
data.inasafe.org <http://data.inasafe.org/>_. Ask your trainer what data you
will need to download for the course, if it is not provided.
If you are working through the training independently, use the following data packages:
Introduction to QGIS.zip <http://data.inasafe.org/Socialisation%20Training/Introduction%20to%20QGIS.zip>_Run Basic InaSAFE.zip <http://data.inasafe.org/TrainingDataPackages/Run%20Basic%20InaSAFE%20v3.4.zip>_Run Intermediate InaSAFE.zip <http://data.inasafe.org/Socialisation%20Training/Run%20Intermediate%20InaSAFE.zip>_Other Hazards.zip <http://data.inasafe.org/TrainingDataPackages/Run%20Other%20Hazards.zip>_
Hazard data¶
Flood Model¶
==================== =========================================================================
:File name: Jakarta_Flood_HKV_WGS84.tif
:Training data: A flood similar to the 2007 Jakarta event
:Geometry: Raster
:Data Type: Continuous
:Scenario: Single event
:Unit: metres
:Source: HKV
:URL: http://deltares.nl
:Date: 2012
:Licence: Creative Commons by Attribution (CCbyA) <http://creativecommons.org/>_
:Coverage: Jakarta
:Description: The flood model was created by scientists/engineers in
coordination with DKI Jakarta Public Works based on the
2007 flood conditions. The water depth is the maximum
depth occurring across the entire flooding period.
==================== =========================================================================
Flood Footprint¶
===================== =========================================================================
:File name: Jakarta_Flood_18113_WGS84.shp
:Training data: A flood in Jakarta like 2013
:Geometry: Polygon
:Data Type: Classified
:Scenario: Single event
:Attribute field: FLOODPRONE
:Attribute value map: Wet (Yes), Dry (No)
:Source: OpenStreetMap and BPBD DKI Jakarta
:Date: 18 January 2013
:Licence: Creative Commons by Attribution (CCbyA) <http://creativecommons.org/>_
:Coverage: Jakarta
:Description: Along with sub-village boundaries that were mapped during
the DKI mapping project, this dataset was used to
identify flood areas based on information provided by the
villages.
===================== =========================================================================
Earthquake¶
===================== ===========================================================================
:File name: Padang_EQ_2009_WGS84.tif
:Training data: Earthquake in Padang 2009
:Geometry: Raster
:Data type: Continuous
:Scenario: Single event
:Unit: MMI
:Source: Badan Geologi and Australian Government
:Date: 2012
:Licence: Creative Commons by Attribution (CCbyA) <http://creativecommons.org/>_
:Coverage: Padang
:Description: A shakemap is a representation of ground shaking
produced by an earthquake. This particular scenario was
modelled on the 30th September 2009 Mw 7.9 earthquake
in Padang. ShakeMaps are generated automatically
following moderate and large earthquakes by USGS.
For more information go to http://earthquake.usgs.gov/earthquakes/map/.
Pre-event / scenario based shakemaps must be modelled by
earthquake specialists.
===================== ===========================================================================
Tsunami¶
==================== ===========================================================================
:File name: Maumere_Tsunami_WGS84.tif
:Training data: Tsunami in Maumere (Mw 8.1)
:Geometry: Raster
:Data type: Continuous
:Scenario: Single event
:Source: Australian Government and Badan Geologi
:Date: 2012
:Licence: Creative Commons by Attribution (CCbyA) <http://creativecommons.org/>_
:Coverage: Maumere, Flores
:Description: In September 2011, the Indonesian government held a
national exercise in Maumere, Flores. AIFDR and Australian Government
assisted Badan Geology to develop a tsunami model for
Maumere based on an Mw 8.1 earthquake. The Tsunami was
modelled using open source software called ANUGA and
elevation data from NEXTMap. The water depth is the
maximum depth occurring across the entire tsunami event.
For more information visit http://anuga.anu.edu.au/
and http://intermap.com/
==================== ===========================================================================
Volcano¶
======================== ================================================================================================================================== :File name: Sinabung_Hazard_Map_2015_WGS84.shp :Training data: Sinabung Hazard Map :Geometry: Polygon :Data type: Classified :Scenario: Multiple event :Attribute field: KRB :Attribute value map: Kawasan rawan bencana III - High; Kawasan rawan bencana II - Medium; Kawasan rawan bencana I - Low :Source: PVMBG :URL: http://vsi.esdm.go.id/gallery/picture.php?/63/category/7 (published map) :Date: 2015 :Licence: :Coverage: Sinabung :Description: This map contains information about the hazard level for each zone. It can be used to identify the potential impact. ======================== ==================================================================================================================================
Volcano Point¶
======================== ================================================================================================================================== :File name: Sinabung_Mount_WGS84.shp :Training data: Sinabung Mt :Geometry: Point :Data type: Classified :Scenario: Multiple event :Attribute field: Name :Attribute value: Sinabung :Source: PVMBG :URL: http://vsi.esdm.go.id/gallery/picture.php?/63/category/7 (publish map) :Date: 2015 :Licence: :Coverage: Sinabung :Description: The data shows the location of Mount Sinabung peak.
======================== ==================================================================================================================================
Volcanic Ash¶
======================== ====================================================== :File name: Sinabung_Volcanic_Ash_1Feb14_WGS84.shp :Training data: Sinabung Volcanic Ash :Geometry: Polygon :Data type: Classified :Scenario: Single event :Attribute field: KRB :Attribute value map: High; Medium; Low :Source: PVMBG - BNPB :URL: :Date: 2014 :Licence: :Coverage: Sinabung region :Description: The data show the spread of volcanic ash from Mount Sinabung during the 2014 eruption. ======================== ======================================================
Landslide¶
======================== ========================================================================================================================================= :File name: NGK_Landslide_Vulnerability_WGS84.shp :Training data: Landslide Hazard Zone :Geometry: Polygon :Data type: Classified :Scenario: Single event :Attribute field: KRB :Attribute value map: High Landslide Vulnerability Zone - High; Moderate Landslide Vulnerability Zone - Medium; Low Landslide Vulnerability Zone - Low :Source: PVMBG :URL: http://vsi.esdm.go.id/gallery/picture.php?/230/category/14 (published map) :Date: 2009 :Licence: :Coverage: :Description: Landslide vulnerability maps show the regions where landslides may occur. Topographic and landuse changes after mapping can change the landslide zone in the map. The high vulnerability zone is to be avoided for settlement areas or strategic infrastructure. If it can't be avoided, build on the moderate zone, but detailed research is needed to avoid landslide happen. In moderate zone, detailed research is also needed when planning to cut the slope. ======================== =========================================================================================================================================
Exposure data¶
Population¶
===================== ==============================================================================
:File name: World_Population
:Training data: see table below
:Geometry: Raster
:Data type: Continuous
:Unit: Count
:Source: World Pop
:URL: http://worldpop.org.uk
:Date: 2010
:Licence: Creative Commons by Attribution (CCbyA) <http://creativecommons.org/>_
:Coverage: ASEAN +
:Description: High resolution (1 pixel represents 100m x 100m,
contemporary data on human population distributions
are a prerequisite for the accurate measurement of
the impacts of population growth, for monitoring
changes and for planning interventions. The AsiaPop
project was initiated in July 2011 with the aim of
producing detailed and freely-available population
distribution maps for the whole of Asia. This project
has expanded as the World Pop project to include
other continents.
===================== ==============================================================================
Training data provided:
======================== ============================== ============= Training Package Name Coverage Basic InaSAFE Jakarta_Population_WGS84 Jakarta Intermediate InaSAFE Jakarta_Population_WGS84 Jakarta Other Hazards West_Sumatera_Population_WGS84 Padang Other Hazards NGK_Population_WGS84 Nagekeo ======================== ============================== =============
Buildings¶
======================== ==============================================================================================
:Name: OSM Buildings
:Training data: see table below
:Geometry: Polygon or point
:Data type: Classified
:Attribute field: Type
:Attribute value map: hospital,
school,
clinic, etc
:Source: OpenStreetMap
:URL: http://openstreetmap.org
:Date: July 2015
:Licence: Open Data Commons Open Database License (ODbL) <http://opendatacommons.org/licenses/odbl/>_
:Coverage: World - incomplete
:Description: OpenStreetMap is a collaborative project to create a
free editable map of the world. Two major driving forces
behind the establishment and growth of OSM have been
restrictions on the use or availability of map
information across much of the world and the advent
of inexpensive portable satellite navigation devices.
======================== ==============================================================================================
Australian Government has been working with the Humanitarian OpenStreetMap Team (HOT) since 2011 to pilot and train OpenStreetMap data capture in Indonesia. So far over 12 million buildings have been mapped. Some of the scenarios we use in the training materials are situated in Jakarta, Yogyakarta (Merapi), Sumatra (Padang) and Flores (Maumere).
Training data provided:
==================== =============================== ============= Training Package Name Coverage Basic InaSAFE Jakarta_Buildings_WGS84 Jakarta Other Hazards Padang_Buildings_WGS84 Padang Other Hazards Maumere_Buildings_WGS84 Maumere Other Hazards NGK_Buildings_WGS84 Nagekeo Other Hazards Sinabung_Buildings_WGS84 Sinabung Other Hazards Sinabung_Building-points_WGS84 Sinabung ==================== =============================== =============
Each one of these areas has a different OpenStreetMap data collection methodology. Below the data collection methodologies used in Jakarta and Padang are explained:
:Jakarta: BPBD DKI Jakarta (Regional Disaster Managers) and BNPB (National
Disaster Managers) with assistance from Australian Government, the World Bank,
UNOCHA, HOT and University of Indonesia, held
workshops in each of Jakarta's six districts in order to help village heads
map their community boundaries and major infrastructure.
Over 500 representatives from Jakarta's 267 villages participated in these
workshops and have mapped an impressive 6,000 buildings and all 2,668
sub-village boundaries (Rukun Warga-RW).
For more information go to AIFDR Website <http://www.aifdr.org/?p=619>_
:Padang: After the Haiti earthquake in 2010, there was a large effort to map Haiti
through OSM. Coordinating this effort was difficult,
and so Australian Government funded the creation of the OSM Tasking Manager.
The OSM Tasking Manager is a web-based tool in which a designated area is
easily divided into a grid, and individual users can select one piece at a time
to quickly work together and digitally map the target area. The tool was
first piloted in Padang, where contributors from around the world helped
digitise over 95,000 buildings. However, the buildings are only footprints -
an on the ground mapping effort is needed to record attributes about each building.
The tool is now being used across the world to coordinate OSM mapping efforts.
It is available at tasks.hotosm.org <http://tasks.hotosm.org/>_
Roads¶
======================== ==============================================================================================
:Name: OSM Roads
:Training data: see table below
:Geometry: Line
:Data type: Classified
:Attribute field: Type
:Attribute value map: types of roads
:Source: OpenStreetMap
:URL: http://openstreetmap.org
:Date: July 2015
:Licence: Open Data Commons Open Database License (ODbL) <http://opendatacommons.org/licenses/odbl/>_
:Coverage: World - incomplete
:Description: OpenStreetMap is a collaborative project to create a
free editable map of the world. Two major driving
forces behind the establishment and growth of OSM
have been restrictions on use or availability of
map information across much of the world and the
advent of inexpensive portable satellite navigation
devices.
======================== ==============================================================================================
Training data provided:
==================== ========================== ============= Training Package Name Coverage QGIS Introduction Jakarta_Roads_WGS84 Jakarta ==================== ========================== =============
Aggregation Data¶
Administrative Boundary¶
======================== ====================================================== :Name: Administrative Boundary :Training data: see table below :Geometry: Polygon :Data type: Classified :Attribute field: Kabupaten / Kecamatan / Desa :Attribute value map: toponymy of the area :Source: BPS :URL: :Date: 2010 :Licence: :Coverage: :Description: Administrative boundaries in Indonesia ======================== ======================================================
Training data provided:
======================== ================================== ============= Training Package Name Coverage Run Intermediate InaSAFE Jakarta_District_Boundary_WGS84 Jakarta Run Intermediate InaSAFE Jakarta_Subdistrict_Boundary_WGS84 Jakarta Other Hazards Sikka_Village_Boundary_WGS84 Maumere Other Hazards NGK_Villages_BPS_WGS84 Nagakeo Other Hazards Padang_Village_Boundary_WGS84 Padang ======================== ================================== =============