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Lect 4



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  • Hazards: (earthquake faults, fire hazard areas, flood zones, shoreline exposure, etc.) Other Map Data: (streets, pipelines, buildings, residential areas, powerlines, storage facilities, etc.)Lives, property, and environmental values at high risk from potential emergency or disaster become apparent.


  • 1. Date: 14th November, 2009
    Application of GIS/ RS in Disaster/ Hazards Management2. Sources of Spatial Data
    Facilitated By:
    Muhammad Qadeer
  • 2. Geographic Information System…
    It is simply geography + Information 
    It tells you what is where and helps you for better and informed decisions
  • 3. Why Use GIS for Disaster Management
    Most of the data requirements of disaster management are of spatial nature
    All phases of disaster or emergency management require variety of data sets from variety of sources
    At planning stages, we need to know what is lying where, in what condition and what are their associated vulnerabilities
    For planning, we need to quantify what is the level of risk of various hazards and what are the elements at risk in any particular area i.e. a district
    During emergency, its critical to have right data at right time
  • 4. GIS in Emergency Management Phases
    Emergency management programs begin with locating and identifying potential emergency problems. Using a GIS, officials can pinpoint hazards and begin to evaluate the consequences of potential emergencies or disasters.
    When hazards are viewed with other map data, emergency management officials can begin to formulate mitigation, preparedness, response, and possible recovery needs.
    GIS can highlight the elements at risk very easily and effectively. Public safety personnel can focus on where mitigation efforts will be necessary, where preparedness efforts must be focused, where response efforts must be strengthened, and the type of recovery efforts that may be necessary. Before an effective emergency management program can be implemented, thorough analysis and planning must be done. GIS facilitates this process by allowing planners to view the appropriate combinations of spatial data through computer-generated maps.
  • 5. Applications of GIS in Disaster Management
    Preparation and validation of baseline data of geographical locations of project area and settlements
    Preparation of Hazard Maps
    Vulnerability assessment
    Risk Prediction and Estimation of Loss
    Overall Working Area
    Location of Human Settlements in Dist. Rajanpur
  • 6. Applications of GIS in Disaster Management
    Vulnerability assessment Maps
    Risk Prediction and Estimation of Loss
    Information Dissemination
  • 7. Some Advanced Application may include:
    Simulations and Modeling
    Logistics Management
    Shortest and optimum routing
  • 8. Common Datasets Required
    Administrative boundaries; provinces, districts and tehsils (union councils if needed), vector data
    Human and Situation Data, location of settlements, hazardous locations, potential of risk and elements at risk including fields, crops, social infrastructure and buildings i.e. roads and schools
    Satellite images, satellite and aerial photographs showing active river basins and other land-use features on earth
    Pragmatic/Thematic Data, location of hazard by category and their severity
  • 9. Costs Involved
    GIS development always involves huge costs; it need costly software and sophisticated machines…
    The above statement is nothing more than a myth
    Concept of open source GIS for DM is rapidly emerging now a days and most of the raster and GIS datasets are available free of cost.
    The need is to learn and explore where we can get right data at right cost and how sensibly that RAW data can be used for creating valued product after processing
    Some of the required vector and raster data sets can be collected freely just through a fast internet connection while other might cost 10-25$ per
  • 10. Costs Involved
    There are various free software packages of GIS available which can meet our needs well, but more professional range from US$ 3800 for ArcView to US$16000 for ArcInfo.
  • 11. Facilitated By:
    Muhammad Qadeer
    Sources of Spatial Data
    Date: 14th November, 2009
    Dr. Norman Kerle (ITC)
  • 12. Contents
  • 13. How do I go about getting data??
  • 14. Is it that easy???
  • 15. Identify data type needed (depends on questionsasked; e.g. images, maps, GIS, etc.)
    Identification of suitable data is, of course, reliant on your understanding of both the problem at hand, as well as geo information science
    You have to understand fully what information you require to answer given questions, what data source can provide it, and how you can extract it from raw data, and also how to combine that information with other data sources
    Realise that vast amounts of data exist in archives and are captured by different sensors every day; at the same time we have to deal with an increasing number of data (and sensor) types
    Your understanding of the scientific and technical issues also allows you to decide the (I) date of acquisition and (II) number of datasets in question
  • 16. Identify possible cost
    Some spatial data can be obtained for free, others are very expensive
    The overall cost depends on several aspects:
    Data type and extent of study area
    Number of datasets (e.g. need for repeat datasets)
    Need for raw or processed (value-added) data
    Availability of reference data (e.g. existing GIS databases)
    Need for use of commercial image data (Landsat, Ikonos, Quickbird, etc.)
    Need for rapid custom image acquisition
    Need for ground crews for collection of additional information
    Need for outside special resources (experts, databases, etc.)
  • 17. Identify relevant source and search for appropriate data
    The multitude of available catalogues makes this difficult
    Different data types tend to be distributed by different sources
    Some issues:
    Raw image data vs. thematic data (e.g. vegetation indices), catalogues for both (e.g thematic information based on geoinformatics [“disaster databases”]
    Global vs. regional vs. local data
    Sensor type: satellite vs. airborne vs. ground-based
    Raster data (images) vs. vector data
    Specific data types, such as laser scanning data or digital elevation data (DEM)
  • 18. Free Data
    There are many free datasets available
    Rule-of-thumb is that cost goes up with increasing spatial resolution of image data, and with detail of auxiliary datasets (maps, GIS layers)
    Government-owned sensors are more likely to provide free (or cheap) data
    Cost tends to go down with age of the data
    Also try governmental agencies or NGOs in your country for data
    Educational facilities sometimes get access to free data (e.g. ASTER) – scope for collaboration?
    Let’s look at some sources of free data (though keep in mind that the list is not complete)
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. 30 m resolution for the whole world
  • 24.
  • 25. 4. ASTER - Advanced Space borne Thermal Emission and Reflection Radiometer
    Flying on board of TERRA since 1999
    Excellent 15-channel data
    Free for educational use!
    Description at
    Best place to get data is the Earth Observing System Data Gateway (you also get many other data types there)
    ASTER data can also be used to create digital elevation models (vertical accuracy of approximately 25 meters, under some circumstances 11 meters)
    On how to so that, see
    Data access:
  • 26.
  • 27.
  • 28.
  • 29. You can also check on GLOVIS:
  • 30. Data Preview
  • 31. 5. MODIS - Moderate Resolution ImagingSpectroradiometer
    Flying on board of TERRA and AQUA
    36 channels, acquiring data in different spatial resolutions (250, 500 and 1000 m) – excellent for synoptic/regional studies (2330 km) (flooding, forest fires)
    Description at
    Best place to get data is also the Earth Observing System Data Gateway, also for free!
    Produce a whole suite of standard products, though mostly for vegetation mapping (see,
  • 32. 6. Landsat MSS/TM data – 35 years of data
  • 33.
  • 34.
  • 35. Alternatively: USGS Earth Explorer
  • 36. 7. SPOT Vegetation
    SPOT - Satellite Pour l'Observation de la Terre
    Launched in March 1998, altitude of 820 km
    Wide swath of 2200 km, and resolution of 1.165 km
    Observes the entire Earth every day
    Has an additional band to the standard MS sensor (0.43 to 0.47μm)
  • 37. SPOT - Satellite Pour l'Observation de la Terre
    Free SPOT Vegetation products can be obtained from
    However, these are archived data that are at least 3 months old
    More recent data are available directly from SPOT
  • 38. Other Sources
  • 39. MODIS Images for whole Pakistan (250 m resolution)
  • 40. GeoCover2000 Data for whole Pakistan
  • 41. Vector datasets for world continents,
    • Regions,
    • 42. Countries,
    • 43. 2nd Level Administration Boundaries,
    • 44. Islands,
    • 45. Major Rivers & lakes,
    • 46. Time Zones,
    • 47. Lat/Long and UTM Zones
  • World gazetteer of airports and its vector data of locations
    Gazetteer of more than 188000 populated places around the globe with coordinates
  • 48. Vector datasets
    Thematic layers of :
    • Roads,
    • 49. Railways,
    • 50. Water bodies,
    • 51. Administration boundaries
  • Pakistan GIS
    Various raster and vector datasets only for Pakistan
    You need to send them the justification for the utilization of data and they will provide you the required data free of cost
    Free of cost street level maps of cities
    GPS routable maps
    Continuously additions are made
  • 52. In Summary
    There are many sources for geo-data
    Many datasets are free of charge, others are very expensive
    For many applications and research questions, different datasets can be used, and much money can be saved by choosing the cheapest option
    If your application does not require the most current data, check for cheaper archived data
    Check with other governmental agencies or organization you have contacts with for already available data
    Look into options to get discounts (e.g. for educational use, as PI for data validation, etc.)
    The overview presented here is not exhaustive, there are many more sources of geo-data