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GIS, Imagery, and Digital Map production

 ERTH 6401: Earth Sciences and Geology Honours Foundation
                            Course
1) Map Datums and Projections; Geological/GIS database principles
     –   9-11am, Thurs May 6
2) Current scope, availability, cost, etc of satellite imagery and associated data and
    digital map products, and current trends in image processing for geological
    purposes
     –   Sylvia Michael/Mike Peters, Geoimage Pty Ltd
     –   9-11am, Thurs May 13 [Options: 1) minibus: meet at 8.50am behind Steele Bldg
                                         2) make your own way to Geoimage*
3) Digital Map Presentation using MapInfo
     9-11 am, Thurs May 20


4) Hand in assignment by     Friday June 4                      *
                                                                13/180 Moggill Road, Taringa
                                                                geoimage@geoimage.com.au
Computer-aided mapping & visualisation
Departmental software:
• Database preparation: Excel; Access; MapInfo
• Image processing: ER-Mapper
• Image viewers: MapInfo; ERViewer (free download)
• GIS/digital map prep: MapInfo
• 3-D visualisation: Fractal Graphics; (MapInfo; ER-Mapper)
• 3-D modelling/drawing: Fractal Graphics (latest versions)
• Mine/block modelling: None (e.g. Surpac; Datamine;
  Vulcan)
• Balanced section modelling: None (e.g. GeoSec)
• Forward 2-D/3-D section modelling: None (e.g. GeoSec)
Module Assignment
Due: Friday June 4
Prepare a GIS set of data and an A3 mock-up of a final map suitable for publication. The
map can be quite hypothetical, and not very complex, but must look professional, and
contain the following key elements:
     •A background scanned map image that has been registered into an appropriate datum and
     projection. Can be your own project data or images supplied for the Moreton/Gympie area;
     •Some digitized boundaries and units from this background map. The units (polygon fills) must
     contain at least one mutual boundary, one “island”, and one “lake” such that it demonstrates
     proficiency in object clipping and erasing;
     •A GIS table, derived originally from an Excel spreadsheet, containing some point data within
     the area of interest. Can be your own data or from age & geochem data sets supplied
            –‘Create Points’ from the data in this Table, and then use the located data to create a
            shaded ‘thematic map’ (that is, a shaded pseudocontour map of the data)
     •A labelled map grid of easting/northings or lat/longs
     •An annotated scale bar
     •A legend (for the digitised boundaries/units and the thematic map)
     •An inset diagram showing a graph of some aspect of the data used for the thematic map from a
     selected spatial subset of the data
     •An inset map showing your thematic map overlain with the data pts used to make it
     •An Inset map of Queensland showing a location rectangle
     •A title, including your name, and a statement at the bottom about the map datum and
     projection. The information in this latter must be accurate with respect to your chosen
     Projection/datum
Title
                              Assignment Example   Name
                                                   Registered image
                                                   Digitised units
                                                         Including mutual
                                                              boundaries, ‘lakes’,
                                                              ‘islands’
                                                   Thematic map
                                                   Legend of units and thematic
                                                       map




Annotated Grid
Scale bar
Inset location map
Projection and grid details
Assignment Submittal

Finally:
1    Save your Layout as a Workspace in the same directory containing your various Tables.
2    Start a new directory using your name under the GIS Foundation Course Directory on
   Studata4
3    Copy all your Tables and the Workspace that recreates your Layout to this named directory
4    Notify me by email that you are done.
_______________________________________________________________________
WorkGroup/Domain: Student:
                      Topaz…Studata4…erth6401 Foundation course GIS
                                 Insert a new folder labelled using your name
                                Copy your Assignment Tables and Workspace into this new folder
Department File and Computer Structure
WorkGroup/domain: Earth
          Computer: Topaz
                 Share: Studata4
                              MapInfo General Map Data
                              Contains lots of useful MapInfo Tables
                              (streams, coastline, towns, Australia, map, etc). Eg:
                                  Scalebars
                                  student-drawn bars for different areas. Drag them to where you need them.
                                  Also contains Mapbasic tools that can be run as tools from within MapInfo.
                                  Eg.:
                                  GeoMapSymbol
                                   Draws structural symbols (e.g. strike and dip) in map windows
                                Foundation Course GIS raw data
                                  Contains Tables that can be used in the assignment
        Computer: Quartz
                Share: Studata2
                           erth6401 Foundation course GIS
                             This is where you will create a directory (your name)
                             and lodge your completed maps
                               Your name
                                 new directory created by you. Copy your Assignment Layout here

        •   (You may wish to temporarily transfer the general Table files to a subdirectory
            under your own work area. This makes your Workspaces more portable as they then
            use relative path names rather than absolute path descriptions)
Databases
• Consist of:
   – One or more Tables of basic data
       • spreadsheet-like Fields (columns) and Records (rows)
       • structured and populated following database ‘rules’
       • e.g. Relational Databases:
            – each Record can be uniquely identified within any one Table
            – each Field contains the same Type of data (numeric,
              alphanumeric, date, object, etc)
            – Tables containing at least one of the same data columns can be
              linked to one another as if they were a single large table
                » Uses Relationship ‘rules’ between the linked Tables

   – Queries: structured views of of the data using selected fields
     chosen from one or more Tables linked together using the
     relationships between the overlapping fields
Excel spreadsheet databases
      • ‘Flat’ databases - Can only show 1:1 relationships
      • Therefore need to include fields for all possibilities
      • Thus get loads of empty space
      E.g.:
FieldNum   Easting   Northing AMGZone Location                                    Rocktype1   Rocktype2       Rocktype3 BeddingDip
       1    336456    7769234      56 Lynd Hwy 50m N of   Peach Rd intersection   sandstone   rhyolite dyke                     23
       2    336456    7769234                             etc                     sandstone                                       -
2a          336456    7769234                             etc                     siltstone   minor ss        minor cgl         56
       3    336456    7769234                             etc                     sltst       ss
       4    336456    7769234                             etc                     ss                                            78

Do not mix                 Remember                                               Be consistent with spelling
numbers and                somewhere to                                           within fields: else can’t query
characters in              indicate datums                                        efficiently
locns (can’t sort          and UTM zones
data easily)
 BeddingDirn CleavageDip CleavDirn Joint1Dip Joint1dirn Joint2Dip Joint2dirn Joint3Dip Joint3dirn Sample1 Sample2
         123                              45         56
 ?
         234

           342            45      145                                                                     RH234

 Don’t put non-numeric                                                                                   Use sample
 characters into numeric fields:                                                                         numbers that
 interferes with sorting and                                                                             identify the
 processing                                                                                              owner
Database design

• Poor design, even for a simple database, can lead to
  unwarranted cleaning-up at a later stage
• Think carefully about how you are going to Query your
  database - after all that’s why you are doing it
• Only include those fields that will be involved in
  subsequent queries. The more fields you have, the more
  time-consuming it is to enter data.
   – In general, don’t try to produce all-inclusive databases
   – databases tend to have a life that is limited to the project for which
     they were designed and hence extra effort may be wasted
Relational databases

• E.g. Microsoft Access
• Multiple tables (spreadsheets) for every 1-to-many
  relationship
• Every Table has a Key field(s)
   – Unique value (number or characters)
   – May combine more than one field to form the Key
• Tables can be linked by their Key values in Queries
Relational Database Structure
Geographic Information Systems (GIS)

• GIS = Spatial relational databases
   – i.e exactly the same as any other relational database except that at
     least some of the Tables consist of entities with a geographic
     location
       • Data can be displayed as a map as well as a spreadsheet-like table
   – Separate Tables can be overlayed in map view as if they were a
     single map
       • This is the heart of a digital map system


• Commonly used GIS software:
   – ArcInfo; ArcView; MapInfo
GIS - Spatial Relational Database
•   E.g. MapInfo, ArcView, ArcInfo
•   In addition to normal fields, Tables can have an extra field (commonly
    hidden) that contains geographic information about Geographic
    objects in the Table
     – Point, Line, Arc, Polyline, Polygon, Region, etc

•   Geographic Information:
     –   Point location or Centroid location (if a polygon object)
     –   Perimeter
     –   Area
     –   Object contained on the left/right side of line
     –   Etc

•   Location information is dependent on Datums and Projections
Map Datums
Earth is neither a sphere or a true ellipsoid
Shape of Australian Geoid




~120 m
Australian and International Datums
• Australian
   – Older imperial maps
       • Clarke ellipsoid
   – Modern metric maps
       • AGD66
                               •Global geocentric
       • AGD84
       • GDA94                 datum
          – based on WGS84     WGS84
• International
   – >50 datums in local use
   – e.g. USA
       • NAD27
AGD66/AGD84 comparison



• Maximum
  spatial
  difference is
  about 3 metres
GDA to AGD comparison




     • Maximum spatial
       difference is about
       200 metres
Projections

• The algorithm used to project map data that has been
  projected from the terrain onto the datum ellipsoid onto a
  2D flat surface
   – e.g polar stereographic projections
       • e.g. as used for continental wander path reconstructions


• Most common map projection:
   – Universal transverse mercator (UTM)
• Others
   – conic, polyconic, gauss-kruger, etc...
UTM projection
• Projection onto a cylinder tangent to the ellipsoid equator




                             Cylinder is unrolled to give 2D map
UTM zones
                                             –60 northern and southern zones
Definition of UTM zones
Longitude of initial
central meridian (Zone 1)   177° W
Zone width                  6°
Central Scale Factor        0.9996
False easting                    500 000 m
False Northing
(S hemisphere)              10 000 000 m
Australian map grids (projections)
• Yard grid
   – Clarke ellipsoid             Australian UTM zones
   – e.g. Gympie 1:250000 sheet
• Modern metric maps
   – AMG66
       • AGD66
   – AMG84
       • AGD84
   – MGA94
       • GDA94
          – based on WGS84

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Gis and digital_map_fundamentals

  • 1. GIS, Imagery, and Digital Map production ERTH 6401: Earth Sciences and Geology Honours Foundation Course 1) Map Datums and Projections; Geological/GIS database principles – 9-11am, Thurs May 6 2) Current scope, availability, cost, etc of satellite imagery and associated data and digital map products, and current trends in image processing for geological purposes – Sylvia Michael/Mike Peters, Geoimage Pty Ltd – 9-11am, Thurs May 13 [Options: 1) minibus: meet at 8.50am behind Steele Bldg 2) make your own way to Geoimage* 3) Digital Map Presentation using MapInfo 9-11 am, Thurs May 20 4) Hand in assignment by Friday June 4 * 13/180 Moggill Road, Taringa geoimage@geoimage.com.au
  • 2. Computer-aided mapping & visualisation Departmental software: • Database preparation: Excel; Access; MapInfo • Image processing: ER-Mapper • Image viewers: MapInfo; ERViewer (free download) • GIS/digital map prep: MapInfo • 3-D visualisation: Fractal Graphics; (MapInfo; ER-Mapper) • 3-D modelling/drawing: Fractal Graphics (latest versions) • Mine/block modelling: None (e.g. Surpac; Datamine; Vulcan) • Balanced section modelling: None (e.g. GeoSec) • Forward 2-D/3-D section modelling: None (e.g. GeoSec)
  • 3. Module Assignment Due: Friday June 4 Prepare a GIS set of data and an A3 mock-up of a final map suitable for publication. The map can be quite hypothetical, and not very complex, but must look professional, and contain the following key elements: •A background scanned map image that has been registered into an appropriate datum and projection. Can be your own project data or images supplied for the Moreton/Gympie area; •Some digitized boundaries and units from this background map. The units (polygon fills) must contain at least one mutual boundary, one “island”, and one “lake” such that it demonstrates proficiency in object clipping and erasing; •A GIS table, derived originally from an Excel spreadsheet, containing some point data within the area of interest. Can be your own data or from age & geochem data sets supplied –‘Create Points’ from the data in this Table, and then use the located data to create a shaded ‘thematic map’ (that is, a shaded pseudocontour map of the data) •A labelled map grid of easting/northings or lat/longs •An annotated scale bar •A legend (for the digitised boundaries/units and the thematic map) •An inset diagram showing a graph of some aspect of the data used for the thematic map from a selected spatial subset of the data •An inset map showing your thematic map overlain with the data pts used to make it •An Inset map of Queensland showing a location rectangle •A title, including your name, and a statement at the bottom about the map datum and projection. The information in this latter must be accurate with respect to your chosen Projection/datum
  • 4. Title Assignment Example Name Registered image Digitised units Including mutual boundaries, ‘lakes’, ‘islands’ Thematic map Legend of units and thematic map Annotated Grid Scale bar Inset location map Projection and grid details
  • 5. Assignment Submittal Finally: 1 Save your Layout as a Workspace in the same directory containing your various Tables. 2 Start a new directory using your name under the GIS Foundation Course Directory on Studata4 3 Copy all your Tables and the Workspace that recreates your Layout to this named directory 4 Notify me by email that you are done. _______________________________________________________________________ WorkGroup/Domain: Student: Topaz…Studata4…erth6401 Foundation course GIS Insert a new folder labelled using your name Copy your Assignment Tables and Workspace into this new folder
  • 6. Department File and Computer Structure WorkGroup/domain: Earth Computer: Topaz Share: Studata4 MapInfo General Map Data Contains lots of useful MapInfo Tables (streams, coastline, towns, Australia, map, etc). Eg: Scalebars student-drawn bars for different areas. Drag them to where you need them. Also contains Mapbasic tools that can be run as tools from within MapInfo. Eg.: GeoMapSymbol Draws structural symbols (e.g. strike and dip) in map windows Foundation Course GIS raw data Contains Tables that can be used in the assignment Computer: Quartz Share: Studata2 erth6401 Foundation course GIS This is where you will create a directory (your name) and lodge your completed maps Your name new directory created by you. Copy your Assignment Layout here • (You may wish to temporarily transfer the general Table files to a subdirectory under your own work area. This makes your Workspaces more portable as they then use relative path names rather than absolute path descriptions)
  • 7. Databases • Consist of: – One or more Tables of basic data • spreadsheet-like Fields (columns) and Records (rows) • structured and populated following database ‘rules’ • e.g. Relational Databases: – each Record can be uniquely identified within any one Table – each Field contains the same Type of data (numeric, alphanumeric, date, object, etc) – Tables containing at least one of the same data columns can be linked to one another as if they were a single large table » Uses Relationship ‘rules’ between the linked Tables – Queries: structured views of of the data using selected fields chosen from one or more Tables linked together using the relationships between the overlapping fields
  • 8. Excel spreadsheet databases • ‘Flat’ databases - Can only show 1:1 relationships • Therefore need to include fields for all possibilities • Thus get loads of empty space E.g.: FieldNum Easting Northing AMGZone Location Rocktype1 Rocktype2 Rocktype3 BeddingDip 1 336456 7769234 56 Lynd Hwy 50m N of Peach Rd intersection sandstone rhyolite dyke 23 2 336456 7769234 etc sandstone - 2a 336456 7769234 etc siltstone minor ss minor cgl 56 3 336456 7769234 etc sltst ss 4 336456 7769234 etc ss 78 Do not mix Remember Be consistent with spelling numbers and somewhere to within fields: else can’t query characters in indicate datums efficiently locns (can’t sort and UTM zones data easily) BeddingDirn CleavageDip CleavDirn Joint1Dip Joint1dirn Joint2Dip Joint2dirn Joint3Dip Joint3dirn Sample1 Sample2 123 45 56 ? 234 342 45 145 RH234 Don’t put non-numeric Use sample characters into numeric fields: numbers that interferes with sorting and identify the processing owner
  • 9. Database design • Poor design, even for a simple database, can lead to unwarranted cleaning-up at a later stage • Think carefully about how you are going to Query your database - after all that’s why you are doing it • Only include those fields that will be involved in subsequent queries. The more fields you have, the more time-consuming it is to enter data. – In general, don’t try to produce all-inclusive databases – databases tend to have a life that is limited to the project for which they were designed and hence extra effort may be wasted
  • 10. Relational databases • E.g. Microsoft Access • Multiple tables (spreadsheets) for every 1-to-many relationship • Every Table has a Key field(s) – Unique value (number or characters) – May combine more than one field to form the Key • Tables can be linked by their Key values in Queries
  • 12. Geographic Information Systems (GIS) • GIS = Spatial relational databases – i.e exactly the same as any other relational database except that at least some of the Tables consist of entities with a geographic location • Data can be displayed as a map as well as a spreadsheet-like table – Separate Tables can be overlayed in map view as if they were a single map • This is the heart of a digital map system • Commonly used GIS software: – ArcInfo; ArcView; MapInfo
  • 13. GIS - Spatial Relational Database • E.g. MapInfo, ArcView, ArcInfo • In addition to normal fields, Tables can have an extra field (commonly hidden) that contains geographic information about Geographic objects in the Table – Point, Line, Arc, Polyline, Polygon, Region, etc • Geographic Information: – Point location or Centroid location (if a polygon object) – Perimeter – Area – Object contained on the left/right side of line – Etc • Location information is dependent on Datums and Projections
  • 14. Map Datums Earth is neither a sphere or a true ellipsoid
  • 15. Shape of Australian Geoid ~120 m
  • 16. Australian and International Datums • Australian – Older imperial maps • Clarke ellipsoid – Modern metric maps • AGD66 •Global geocentric • AGD84 • GDA94 datum – based on WGS84 WGS84 • International – >50 datums in local use – e.g. USA • NAD27
  • 17. AGD66/AGD84 comparison • Maximum spatial difference is about 3 metres
  • 18. GDA to AGD comparison • Maximum spatial difference is about 200 metres
  • 19. Projections • The algorithm used to project map data that has been projected from the terrain onto the datum ellipsoid onto a 2D flat surface – e.g polar stereographic projections • e.g. as used for continental wander path reconstructions • Most common map projection: – Universal transverse mercator (UTM) • Others – conic, polyconic, gauss-kruger, etc...
  • 20. UTM projection • Projection onto a cylinder tangent to the ellipsoid equator Cylinder is unrolled to give 2D map
  • 21. UTM zones –60 northern and southern zones Definition of UTM zones Longitude of initial central meridian (Zone 1) 177° W Zone width 6° Central Scale Factor 0.9996 False easting 500 000 m False Northing (S hemisphere) 10 000 000 m
  • 22. Australian map grids (projections) • Yard grid – Clarke ellipsoid Australian UTM zones – e.g. Gympie 1:250000 sheet • Modern metric maps – AMG66 • AGD66 – AMG84 • AGD84 – MGA94 • GDA94 – based on WGS84