The Brazilian Institute of Geography and Statistics (IBGE) uses FME to help summarize and improve its geospatial data. Some examples include using FME to identify and correct errors in Brazil's vector cartographic bases at multiple scales. FME was also used to convert outdated topographic map data from DGN format to Shapefiles and reproject the data to modern coordinate systems. Additionally, FME helped analyze the positional accuracy of Rapid-Eye satellite imagery by comparing the imagery to higher resolution orthophotos and generating statistics on any displacements. Finally, FME is being utilized to georeference and catalog IBGE's collection of historical aerial photographs.

1. Encontro de Usuários 2017

2. Casos de uso do FME no IBGE
Renan de Alcantara Soares

3. The Brazilian Institute of Geography and Statistics (IBGE) is the main provider of data
and information in Brazil, which responds to the needs of the most diverse segments of
civil society, as well as federal, state and municipal government bodies.
IBGE offers a complete and current view of the Country through the performance of its
main functions:
 Production and analysis of statistical information
 Coordination and consolidation of statistical information
 Production and analysis of geographical information
 Coordination and consolidation of geographical information
 Documentation and dissemination of information
 Coordination of statistical and cartographic systems

4. Coordenação de Cartografia
Coordination of Cartography
The Coordination of Cartography is responsible for planning, organizing,
coordinating, supervising and executing the cartographic works, aiming at the
production of maps, as well as other documents of a cartographic nature,
necessary for the representation of the Brazilian territorial space "(Portaria nº
215, 12/08/2004 - Art. 60.) "
Interoperability of data from many
sources

5. Coordenação de Cartografia
Coordination of Cartography
CCAR
Vetorial cartographic base
production of all national territory
1:1.000.000
1:250.000
1:100.000 (in progress)
1:25.000 (RJ)
(Coordination of
Cartography main use)
EDGV
(Structure of Vector Geospatial Data)
Standarize
Topological Rules
Identify
Fix

6. Equipe
Team
Renan de Alcantara Soares
 Cartographic and Surveyor Engineer - Federal University of Viçosa
(UFV)
Rafael Damiati Ferreira
 Geographer – São Paulo State University (UNESP)
 Master in Remote Sensing – Brazilian National Institute for Space
Research (INPE)
Ludolf da Mota Silva
 Cartographic Engineer - Rio de Janeiro State University (UERJ)
All with advanced knowledge in GIS, but had never used FME before,
learning it by job needs and investigative curiosity.

7. Casos
Cases #1
The vetorial cartographic continuous bases of Brazil, has as main
applications and products the planning and management of government
programs with a territorial approach; The analyzes that demand an overall
view (country, region and states); The elaboration of maps in smaller scales
(Brazilian, regional, state and Atlas series maps) and representations of
thematic aspects of the territory (statistics, natural resources and
environmental research).
Its modeling is implemented according to the Technical Specifications for
Vector Geospatial Data Structuring (ET-EDGV). In relation to the geodesic
and cartographic spatial references, the Base follows the current norm,
using the SIRGAS 2000 reference system, with a geographic coordinate
system.
The data are available in free format (shapefile, geopackeg and dump from
the PostGIS database) for use in Geographic Information Systems, and it is
compatible with different softwares.

8. Casos
Cases #1
Vetorial cartographic base of 1:1000000Vetorial cartographic base of 1:250000Vetorial cartographic base of 1:100000Vetorial cartographic base of 1:25000

9. Casos
Cases #1
And of course, on such a large base, errors may occur during vector
acquisition.
Like, overlap of two features that should not, Intersessions without break,
gap between adjacent polygons.
Problems that require time, resources and expertise available to apply the
correct fixes, and still, can be subject to human errors.
The flows created in the FME to the Vector Base, in several scales, aimed
at a quick identification and correction, with the minimum of human vector
editing.

10. Casos
Cases #1
A few examples: Poligons (Must not Overlap)Line (Fixes the flow (direction) of the rivers to fit the downstream direction)Point (Correction in many features simultaneously)Checks the contours and identifies discontinuities, missing curves or wrong
values, also identifies incoherent points between two curves

11. Casos
Cases #2
The Brazilian topographic mapping carried out
between the 1970s and 1980s, whose purpose
was to represent the Brazilian territorial space, in
a systematic way, through a series of general,
continuous, homogeneous and articulated maps,
elaborated selectively and progressively, at the
standard scales of 1:1000000, 1:250000,
1:100000, 1:50000 and 1:25000.

12. Casos
Cases #2
Scale 1:25000Scale 1:50000Scale
1:100000
Scale
1:250000
Scale
1:1000000

13. Casos
Cases #2
In January 1991, plans were started for the
conversion of topographic sheets to CAD, which
took time for the scanning and the vectorization, a
project that took a lot of time during the 1990s.
Some of the regions of this systematic mapping
have never been revisited, being this unique data
for some local names, settlements, rivers and
mountains. What motivated the idea of​ updating
this data to the shapefile format.

14. Casos
Cases #2
The first problem encountered was the Datum, there were at least 8, all
digitized in DGN with units in kilometers. None of them recognized by FME.

15. Casos
Cases #2
TransportHydrographyBuildingsBatch
Reads a folder, where 26504
files are stored in DGN
extension
Organizes for each line the
various output addresses for
each scale and mapped region.
Distributes feature classes
correctly for processing
It calls the workspaces's that
convert dgn to shp, each line
represents a class of feature
(Transport, Hydrography,
Hypsometry, Buildings,
Metadata, etc ...). The input data
is iterative until it is able to make
all such dgns in the folder
(including subfolders) and prints
according to the specified folder
organization.

16. Casos
Cases #2
Organization of the results folder
 Scale
 Producer of the data
 Topographic Map
 Metodology (also contains Metadata and Grid)
 Feature Class
 Shapefiles

17. Casos
Cases #2
Results

18. Casos
Cases #3
The Ibge has more than 50TB of raster images, for the Rapid-Eye images,
which are being used in the production of the new vectorial cartographic
base of 1: 100000 are 3 collections of Rapid-Eye covers from Brazil (5
meters). To correct or confirm the accuracy of these images, IBGE has a
database for Ground Control Points (GCP), which has at least 15,5
thousand points spread throughout the Country.
Still, some Rapid-Eye coverage scenes may not have control points on it, or
not enough points for an adequate analysis of their accuracy.
The technical team responsible for image processing opted to evaluate the
positional quality of Rapid-Eye images comparing them with OrtoPhotos of
greater precision. For that, Erdas AutoSync was used to compare two or
more images, from search windows to determine the similar features and
obtain the coordinates of these similar features, generating a report of the
results found.

19. Casos
Cases #3
First problem, the report is
generated with coordinates in
geographic system, while the
Rapid-Eye images have
coordinate in UTM (diverse
fuses).
Also the displacement can only
be calculated on the plane.

20. Casos
Cases #3
Read the report in
txt.
Reads the raster in
GeoTIFF
It plots the report points and
defines it as EPSG: 4326
Extract the coordinate system
information from the raster
Transfers this information for
points and reproject it for the
Raster coordinate system
Do the statistics
This workspace also has a batch caller, which arranges the output folder,
toggles between several input files, and even if you need to stop and continue
on another day it understands which raster has already been processed and
discards them before it starts.
Statistics results (Output file)

21. Casos
Cases #4
IBGE has a vast historical collection of analog aerial photos stored in Rio de
Janeiro. These photos were the main resources for different cartographic
products published by the institution, mostly consisted of topographic maps at
various scales.
We’ve started the process of digitization and cataloging historical aerial
photographs with approximate georeferencing.
The effort aims to facilitate searching and accessing the historical data and to
preserve paper information once it tends to deteriorate over the time.
This work was presented in:
SBSR - Brazilian Remote Sensing Symposium (2017) – Santos
ICC - International Cartographic Conference (2017) – Washington DC

22. Casos
Cases #4

23. Casos
Cases #4

24. Dúvidas
Questions