Open Foris Geospatial Toolkit
Introduction

Lima, July 2016

http://www.openforis.org• This work was done in collaboration withFAO as a prototyping for the OpenForissystem• SEPAL  Amazon Web Services (AWS)• Cloud-based data processing
workflow
FAO / Norway SEPAL Progress Report
17/09/2015

Implementation with R, OFGT, GDAL, SEPAL

www.r-project.org

www.openforis.org

www.gdal.org• Free and open: independent versus commercial software• Reproducible: methods can be redone using the scripts•Transparent : maximum transparency: all scripts availableand guidance documentsCollect Earth is a tool that enables data collection
through Google Earth with a sampling approach. In conjunction
with Google Earth, Bing Maps and Google Earth Engine, users
can analyse high and very high resolution satellite imagery for awide variety of purposes, including :• Activity data assessments of the Land Use, Land Use Changeand Forestry (LULUCF) for GHG Inventories• Assessment of the land use and land use change historical
trends for REL/RL• Support multi-phase National Forest Inventories• Monitoring agricultural land and urban areas• Validation of existing maps
• Collection of spatially explicit socio-economic data
• Quantifying deforestation, reforestation and desertification

Collect Earth System Overview

Google Earth
3D GIS for point-based, LULUCF sampling

Bing Maps
Geo-link with multiple image
repositories• Access to free, very
high resolution
imagery• Full integration withSaiku, for mining dataand generating chartsand other graphics

Google Earth Engine API
Trend visualization with vegetation indices

Google Earth Engine
Multi-temporal analysis with 40 years of Landsat data

Saiku
Fast, intuitive and flexible data analysis

Collect Earth System Overview

Tutorial scheme• Remote sensing and Land cover mapping• Why the Open Foris Geospatial Toolkit ?
• Training program– Module 1: Handling data
– Module 2: Basic image processing– Module 3: Classification processes– Module 4: Segmentation and OBIA
– Module 5: Change detection– Module 6: Accuracy assessment and Statistics

Remote Sensing and Land cover mappingBiodiversity

FORESTRY
Remote sensing

Ground measurements

Border Mapping
National Defense

How to integrate ground field measurements and remote sensing into
one system?

Classification of satellite data

FOSS tools developed by FOM

Why OF Geospatial Toolkit ?

What is OFGT ?

www.ubuntu-fr.org

www.gdal.org

www.r-project.org

www.osgeo.org

Why LINUX and FOSS ?

• Freedom: free to download / test / install / modify/
configure / develop / distribute / ... it's fun!
• Security: extremely stable and reliable, no viruses,
interoperable: Unix, Windows, Mac• Applications: thousands of free programs, programming
languages, server services• Versatility: minimum HW requirements, extremely
portable, very fast performanceWhy UBUNTU ?

• GUI – Friendly: interactive and intuitive• Popular: high number of packages• Well supported : very active communities. Extensive
documentation.
If you have a problem, someone had it before anddocumented it!
https://help.ubuntu.com/12.04/ubuntu-help/index.html

Why GDAL / OGR ?

• Geospatial Data Abstraction Library• Extensive capabilities of data exchange• More than 120 raster geospatial data formats

http://www.gdal.org/

Modules presentation

Module 1: Handling Data

Theory• Remote sensing data structures and formats• Projection systems• Linux architecture

Practice• Discovering Live Linux environment• Basic Linux command lines• Basic GDAL command lines• Viewing dataModule 2: basic image processing

Theory• Multispectral data and land feature detection• Re-sampling and corrections

Practice• Stacking• Sub-setting• Re-projecting

Module 3: classification processes

Theory• Image classification principles• Training data sensitivity

Practice• K-means clustering• Supervised classification• Sieving and filtering

Module 4: segmentation and OBIA

Theory• What is segmentation about ?
• From pixel to objects

Practice• Segmentation• Decision trees for OBIA

Module 5: change detection

Theory• Time series and land cover activity data
• Problem of the stock-difference method

Practice• IMAD algorithm• Multi-date classification

Module 6: accuracy assessment, statistics

Theory• Why assess accuracy ?
• Zonal statistics, land cover confusion matrices

Practice• Point interpretation (CE)• Zonal statistics and interpretation• R-based interface

New openForis modules• OpenSARKit• Command line tools for quasi-fully automatic
preprocessing of nationwide SAR mosaics• Up to date: ALOS Palsar FBD data
• 30m output resolution• Output Stack: Backscatter values, Ratio,Texture measures, DEM + aspect + slope

Ecuador
2007

Includes Material (c) JAXA, METI 2010

Ecuador 2007

FAO / Norway SEPAL Progress Report
17/09/2015

Tanzania 2007

Includes Material (c) JAXA, METI 2010

FAO / Norway SEPAL Progress Report
17/09/2015

Bangladesh
2007

Includes Material (c) JAXA, METI 2010

FAO / Norway SEPAL Progress Report
17/09/2015

Inge.jonckheere@fao.org