General Information

Coverage

This geographic product covers 5 sq. km of Toronto city (digital maps Canada), city part.

The geographic coordinates of the bounding rectangle (reference ellipsoid WGS 84) are the following:
W 79.39441948° W 79.36573708°
N 43.65650180° N 43.65650180°

Toronto kvadrat

W 79.39441948° W 79.36573708°
N 43.63655955° N 43.63655955°

Data format

The delivered data has been converted into Mentum Planet format.

Package content

The delivered package includes:

  • Digital Terrain Model (DTM), (data contains in folder Height);
  • Land Use Map (Clutter Model), (data contains in folder Clutter);
  • Building Heights Model (data contains in folders Buildings and Obstacle_vector);
  • Obstacles (Engineering constructions, Vegetation), (data contains in folders Obstacle and Obstacle_vector);
  • Vector Model (data contains in folder Vector);
  • Orthoimage (data contains in folder Image).

Resolution (cell size): 2 m
Language: English

Cartographic Reference

Data are given in geographic coordinates on ellipsoid WGS 84 with the following references:

Ellipsoid

  • Name: WGS 84
  • Big axis: 6378137.0 meters
  • Eccentricity: 0.081819191

Projection

  • Type : UTM 17
  • Azimuth angle : 0.0 degrees
  • Longitude 0 : -81.0 degrees
  • Latitude 0 : 0.0 degrees
  • X axis 0 : 500000.0 meters
  • Y axis 0 : 0.0 meters
  • Scale factor: 0.9996

Coordinates of North-west corner of image are the following:

X = 629512 m Y = 4835022 m
Number of columns (DIM_X) 1136 pixels
Number of Rows (DIM_Y) 1131 pixels
Pixel Size (resolution) 2 meters
North-West corner (629512; 4835022) meters
South-East corner (631782; 4832762) meters

Digital Terrain Model

General view

Meanings of pixel values

Each image pixel stores the value of terrain elevation.
The value of elevation above sea level:

  • Height = 0 meters – 0
  • Unknown values – 9999
  • Z values unit – meters

In this Digital Terrain Model the altitudes are varied in the range of 72 to 99 meters.

Values of heights are submitted in the Baltic system of heights.

Parameters of accuracy

Resolution (cell size)

2 m

Absolute Planimetric accuracy (x, y)

5 m

Absolute Altimetric accuracy (z)

2 – 3 m

Sources:

  • Stereo pairs of Ikonos satellite images with 1.0 m resolution.

Vintage: 22.03.2012.

Land Use Map – Clutter Model

General view

Parameters of accuracy

Resolution (cell size)

2 m

Absolute Planimetric accuracy (x, y)

5 m

Sources:

  • Satellite images of Ikonos with 1.0 m resolution.

Vintage: 22.03.2012.

Meanings of pixel values

The value which is stored with each pixel of image corresponds to the code that represents land type (clutter class). The table of correspondences between codes and clutter class names (15 clutter classes in all) is presented below.

Code

Class Name

Class Description

1

Open area Open space outside the town: meadow, field, marsh

4

Inland water Rivers, canals of more than 10 m width, lakes, reservoirs

5

Residential, suburban Country houses, 1-3 storey neighborhoods

6

Urban, mean urban Mean urban building, more than 3 storey height

7

Dense urban Dense urban building, more than 3 storey height

8

Block of buildings Blocks of buildings of more than 7-storey height

9

Industrial and commercial areas Industrial zones

11

Open areas in urban Open spaces inside the town: streets, avenues, vacant, lots squares

12

Parks in urban Forest, park of less than 20 m height trees

16

Dense urban high Dense urban building, more than 7 storey height

17

Mixed urban Mixed urban building 1-6 storey height

18

Mixed dense urban Mixed dense urban building 1-6 storey height

19

Buildings Higher and isolated buildings

20

Semi open area The territory is covered by several kinds of vegetation (e.g. low grass, bush, individual trees)

21

Grass Grass

Building Heights Model

General view

Parameters of accuracy

Resolution (cell size)

2 m

Absolute Planimetric accuracy (x, y)

5 m

Absolute building height accuracy (h1)

2 – 3 m

Sources:

  • Stereo pairs of Ikonos satellite images with 1.0 m resolution.

Vintage: 22.03.2012.

  • Building heights were derived by processing of stereo pairs of Ikonos satellite images by photogrammetric methods.

Obstacles (Engineering Constructions, Vegetation)

General view

Parameters of accuracy

Resolution (cell size)

2 m

Absolute Planimetric accuracy (x, y)

5 m

Absolute height accuracy of obstacles (h2)

2 – 3 m

Sources:

  • Stereo pairs of Ikonos satellite images with 1.0 m resolution.

Vintage: 22.03.2012.

  • Heights of obstacles (engineering constructions and vegetation) were derived by processing of stereo pairs of Ikonos satellite images by photogrammetric methods.

Vector Model

General view

Parameters of accuracy

Absolute Planimetric accuracy (x, y)

5 m

Sources:

  • Satellite images of Ikonos with 1.0 m resolution.

Vintage: 22.03.2012.

Vector data classes

There are 8 linear classes:

Class Name

Class Description

1

Highways International motor roads

2

Major roads Regional motor roads

3

Streets Town street axial lines

4

Secondary roads Other roads

5

Railways Railways

6

Inland water Coastline of rivers and lakes.

Orthoimage

Initial Source: Ikonos, stereo image
Vintage: 22.03.2012
Resolution (m): 1.0 m
Planimetric accuracy (x, y): 5 m
Chromatic level: color