This document summarizes Luiz Motta's presentation on using a catalog on the fly plugin in QGIS to access and visualize satellite images. The plugin allows users to search for and add satellite images to their QGIS project based on the image footprint intersecting with the current map canvas extent. Supported image sources include local geotiffs as well as online WMS services. The plugin groups added images for easy access and provides tools to zoom to and highlight individual images.

1. Catalog on the fly satellite images
Luiz.motta@ibama.gov.br
http://www.ibama.gov.br
Luiz Motta FOSS4G 2015 - Seul

2. MMA - Ministry of the Environment – Brazil
IBAMA - Brazilian Institute of Environment and
Renewable Natural Resources
DIPRO - Directorship of Environmental Protection
CGMAM – General Coordination of Monitoring
COTIG – Coordination of Geospatial Technology *
Luiz Motta:
● Academic education
● Forestry Engineer
● Msc. Forestry Science (Optimization with GIS) – 1995
● Profissional experience (using GIS):
EMBRAPA (Corn zoning), IEF-MG(monitoring of vegetation), …
IBAMA (since 2003 – first tender for career)
Amazon: SIPAM, Terra Legal Project, …
FOSS4G: since 2010(contribution for QGIS).

3. Example of goal: Deforestation of Amazon

4. Example of goal: Illegal mining

5. ● Satellite images used by DIPRO.
● Change in the use of satellite images.
● Demand of images for shares of DIPRO.
● Catalog on the fly
● Server – Generation Geotif and TMS - Products ready
● Client – QGIS
● Planet Labs Catalog – Explorer Program.
Presentation plan

6. ● Free images
● CBERS 2B (Brazil e China)
● 20m(CCD) e 2.7m(HRC)
● Until 2010
● Popularizing the use of images- INPE: Start 2004
“Experts”
● ALOS/Amazon Project (IBAMA, DPF and JICA)
● ALOS/PALSAR: 100m
● 2010 – 2011
● LANDSAT:
Ortho rectified (temporal series + Landsat 8 ~ 4.5K)
● Purchased:
● Rapideye: 3 covers of all Brazil (8,516,000 km2) ~57k
Satellite images used by DIPRO

7. Satellite images used by DIPRO
LANDSAT(2001- 2015)
LANDSAT
RAPIDEYE

8. Change in the use of satellite images
● High availability of higher spatial resolution
● Effect “Google”, “Bing”,...
● Reduced need for specialist.
● Image classification x visual interpretation
● IBAMA:
● Deforestation interpretation on each pass Landsat(16
days)
● Detect changes based on temporal series temporal
series.
● Support with images higher spatial resolution

9. Change in the use of satellite images
LANDSAT 8: 2015-08-28
1:10,500
BING
1:10,500
GOOGLE
1:10,500
1:50,000 1:10,500
2015-08-05

10. Change in the use of satellite images
RAPIDEYE 2014-06-19

11. Change in the use of satellite images
RAPIDEYE 2014-06-19 - R3G5B2
Landsat 8(2014-07-24) R6G5B4 Rapideye 5(2014-06-19) R3G5B2
Improvement for interpretation
Scale: 1:10,000

12. Demand of images for shares of DIPRO
Detect new deforestation fronts.
Temporal and spatial availabilityl:
Example: Sentinel-2(10m) + Landsat
2015-05-10 2015-06-11
CR = Clear-cut

13. Catalog on the fly
● Objective: Obtain images automatically from a target
● Need – Server/local:
● Organize images acquis (Landsat, RapidEye, ...)
● End Product (RGB composition)
Geotiff and TMS
● Footprint images (Catalog layer ) - Address of images
● Need – Client(QGIS):
● Plugin for identify the images in the map extension
● Recognize the type of source (local or server)
● Automatically add images(Layer Group)
● Order by date

14. Catalog on the fly
Use the original name + RGB
Processing:
● Create RGB: 2_rgb.sh LC82270632013140LGN01.tif 6 5 4
● Convert for 8bits:
16b_2_8b_convert.sh LC82270632013140LGN01_r6g5b4.tif
● Change original image.
● Scale: Minimum → 0 and Maximum → 255
Scripts: https://github.com/lmotta/scripts-for-gis

15. Catalog on the fly
Create TMS and GDAL_WMS files
mk_tiles.sh
LC82270632013140LGN01_r6g5b4.tif
2 15
/images/tms/landsat
/imagens/png/landsat
http://10.1.25.66/imagens/tms/landsat
* gdal_tiler.py (tilers-tools 3.2.0)
Create new TAG: TargetWindow
Use for “Zoom to Layer”

16. Catalog on the fly
Bash example:
nohup parallel mk_tiles.sh {} 2 17 ./png ./tms url < images.lst

17. Catalog on the fly
Creative example: Not could use this PC, it is of private
project. No problem, boot by portable HD (Xubuntu)

18. Catalog on the fly
Steps for footprint images (catalog layer)
● Create footprint for each image
● Smoothing for footprint
● Add all fooprint for shapefile

19. Catalog on the fly
Create footprint – footprint.sh [image]
● gdal_calc.py:
-A $in_img --A_band 1 --type Byte --calc "A>0" --outfile $zero_one_img
* 16 bits
● gdal_sieve.py
-q -st 100 -4 $zero_one_img -nomask $sieve_img
● gdal_edit.py:
-a_nodata 0 $sieve_img
● gdal_polygonize.py:
$sieve_img -q -b 1 -f "GeoJSON" $footprint_geojson
● Sed: add image and path names
ssed="s|{ "DN": 1 }|{ "path": "$dir_img", "image": "$basename_img" }|"
sed -i "$ssed" "$footprint_geojson"

20. Catalog on the fly
Smoothing for footprint
footprint_convexhull.py [geojson]
● Create convex hull of geometry
● Add suffix: _convexhull
Add all fooprint for shapefile
footprint_append_shp.sh [geojson] [shapefile]
● Add feature from geojson in shapefile
● ogr2ogr -update -append -t_srs EPSG:4674 $shapefile $footprint_geojson
Bash Example :

21. Catalog on the fly
Catalogs layers
● Created for all Rapideye images and put in database.
● Landsat 8: Added directly in database
● Fields:
● Path: network address(directory of Geotif)
● Image: name of image(RGB)
● TMS: Address of XML in HTTP server (GDAL_WMS)
● Quicklook: Address of PNG in HTTP server
● Date: create from name of image

22. ● Plugin: Catalog on the fly [1]
● Search for catalog layer in current project
● Fields: Date(not mandatory)
and address of each image
*Address: local image or GDAL_WMS for Internet
● Geometry: Footprint of image (polygon layer)
● Get images where intersect with extent map
canvas. Use the features geometry of catalog layer
for query.
Catalog on the fly
[1] https://plugins.qgis.org/plugins/catalogotf_plugin/

23. Catalog on the fly
It is not mandatory.
The field is date type or
Text (yyyy-mm-dd)
Local file or Internet by address for GDAL_WMS, prefix = http and suffix = .xml

24. ● Check the layer, to search
images where intersect with
map canvas.
● Create a “group” for add new
images (name layer - Catalog)
Reverse order by date or name image
Catalog on the fly

25. ● Buttons for seach features in map canvas:
● Run for all.
● Run for selected.
● Cancel
● Waiting cancel
Catalog on the fly

26. ● Create contex menu for each image in catalog group:
● Zoom to
● Highlight
WMS_GDAL need have the TAG <TargetWindow>, this TAG is not standard.
TargetWindow: Extent of image.
Catalog on the fly

27. Catalog on the fly
Using with “Auxiliary windows” Plugin

28. Catalog on the fly
Quickly catalog from local images
56 files
Image Boundary Plugin (Extent)

29. Catalog on the fly
Quickly catalog from local images
Expressions for virtual fields:
● Source of file
● Date from name image

30. Planet Labs Catalog
Presentation:
http://pt.slideshare.net/LuizMotta3/planetlabs-explorer-qgisplugin

31. Planet Labs Catalog

32. Planet Labs Catalog

33. Planet Labs Catalog
Date: 2015-08-29Date: 2015-08-29

34. Acknowledgements
I thank all the people who share their knowledge openly.
Special thanks to the committees of OSGEO and FOSS4G
2015.
Luiz.Motta@ibama.gov.br
IBAMA