ForestSAT2016: a bridge between forest sciences,
remote sensing and geo-spatial applications.


Dear colleagues:

It is a pleasure to inform you about the forthcoming Congress ForestSAT-2016 to be organized by the Faculty of Forestry at the Universidad Mayor from 14th to 18th November, 2016. ForestSAT 2016 is the seventh edition of this international scientific conference, which aims to disseminate the latest knowledge gained from research in the field of remote sensing and geomatics in forestry applications. Previous editions were held in Scotland, Sweden, France, Spain, USA and Italy, marking the first time that ForestSAT will be held in Latin America. The scientific quality of this conference will uphold the high standards of previous editions, and we would like to invite you to prepare abstracts of your research in the general subject areas of the ForestSAT-2016 Conference.

Themes & Topics

Forest Monitoring (biodiversity, forest fires, forest health)

a. Change detection and time series analyses.

b. Natural and human induced disturbances: harvesting, forest fires, storms,

insects, disease, drought.

c. Monitoring regeneration, regrowth, succession, encroachment, gap dynamics,

and invasive species.


a. Use of remote sensing for the analysis of forestry CO2 emissions reduction.

b. Analysis of deforestation, degradation and increased stocks.

c. Estimates of reference levels of forest carbon.

d. Models of forest biomass and carbon.

e. Tools for monitoring, reporting and verification of forest carbon emissions.

f. Supporting the implementation of adaptation and mitigation of climate change.

Latin American Forests

a. Use of remote sensing in the main forest formations in the region.

b. Amazon rainforest.

c. Southern forests.

d. Central America rainforests.

e. Latin American mediterranean forests.

f. Island forest formations.

Forest Mapping and Inventory

a. Approaches for mapping forest types, species, structure, biodiversity indicators

and ecosystems services.

b. Space biomass estimates, height, growing stock.

c. Remote sensing guided statistical estimation, uses of inventory data, sampling,


d. Uncertainty analysis.

Forestry and Forest Management

a. Use of remote sensing and geo-spatial analysis supporting forest management

and operations.

b. Forecasts productivity.

c. Models of biodiversity and habitat analysis.

d. Hidrology.

Development of Methods

a. Methods based on optical, microwave and LiDAR data.

b. Classification algorithms, continuous variable modeling.

c. Radiometric and geometric accuracy and precision.

d. Compositing and mosaicking, objects vs. pixels, visualization.

e. Multiscale analysis , data fusion

f. Radiative transfer modeling, 3-dimensional modeling.

g. Radar interferometry, aerial photogrammetry.

h. UAV experimental applications.

Forest Modelling

Program Committee

Organizing Committee

  • Claudio Muñoz, OTERRA, Universidad Mayor, Chile.
  • Pablo Cruz, OTERRA, Universidad Mayor, Chile.
  • Waldo Perez, OTERRA, Universidad Mayor, Chile.

Steering Committee

  • David Miranda, Universidad Santiago Compostela, Spain.
  • Gherardo Chirici, Universidad de Firenze, Italy.
  • Hakan Olsson, Swedish University of Agricultural Sciences, Sweden.
  • Javier Cano, Corporación Nacional Forestal, Chile.
  • Juan Suarez, Forest Research, UK.
  • Maureen Duane, Oregon State, USA.
  • Pablo Cruz, OTERRA, Universidad Mayor, Chile.
  • Ronald McRobert, USDA Forest Service, USA.
  • Ross Hill, Bournemouth University, UK.
  • Tatjana Koukal, BOKU, Austria.
  • Warren Cohen, USDA Forest Service, USA.

Scientific Committee

  • Alfonso Condal, Laval University, Québec, Canada
  • Alvaro Gutiérrez, Universidad de Chile, Chile.
  • Angela de Santis, Centro Científico Regional Fundación CEQUA, Chile.
  • Annemarie Bastrup-Birk, European Environmental Agency, Denmark.
  • Carlos Cárdenas, Universidad de Magallanes, Chile.
  • Cristian Mattar, Universidad de Chile, Chile.
  • Damiano Gianelle, Fondazione Edmund Mach, Italy.
  • Daniel McInerney, Coillte Teoranta (State Forest Board), Ireland.
  • Esteban Vojkovic, Ciren, Chile.
  • Hubert Hasenauer, BOKU, Austria.
  • Hugo Rivera, Corporación Nacional Forestal, Chile.
  • Jaime Hernandez, Universidad de Chile, Chile.
  • Joao Roberto dos Santos, INPE, Brazil.
  • Juan Carlos Jiménez-Muñoz, UVEG, Spain.
  • Juan de la Riva, Universidad de Zaragoza, Spain.
  • Juan Pablo Flores, Ciren, Chile.
  • Lars T. Waser, Swiss Federal Research Institute WSL, Switzerland.
  • Laszlo Pancel, GIZ, Germany.
  • Lin Cao, Nanjing Forestry University, China.
  • Lori D. Daniels, Forestry UBC, Canada.
  • Lucio Castro, Embrapa, Brazil.
  • Luis Morales, Universidad de Chile, Chile.
  • Marcelo Miranda, Universidad Católica, Chile.
  • Marcelo Scavuzzo, Comisión Nacional de Actividades Espaciales CONAE, Argentina.
  • Maria Augusta Doetzer, Embrapa, Brazil.
  • Maria Pilar Martin, CSIC, Spain.
  • Michael Koehl, World Forest Institute, Germany.
  • Nicholas C. Coops, Forestry UBC, Canada.
  • Patricio Acevedo, Universidad de la Frontera, Chile.
  • Richard Fournier, Université de Sherbrooke, Canada.
  • Ross Hill, Bournemouth University, UK.
  • Ruben Valbuena, University of Eastern Finland, Finland.
  • Tatjana Koukal, BOKU, Austria.
  • Victor Sandoval, Universidad Austral, Chile.
  • Warren Cohen, USDA Forest Service, USA.
  • Yony Ormazábal, Universidad de Talca, Chile.


ForestSAT2016 will take place in a conference center located in the Universidad Mayor, campus Huechuraba (Camino La Pirámide 5750, Huechuraba), in Santiago de Chile.





1st call for abstract

December 15th 2015.

2nd call for abstract

January 25th 2016.

3rd call for abstract

March 1st 2016.

4th call for abstract

April 11th 2016.

Deadline for abstract submission.

July 31th 2016

Notification of abstract acceptance.

February 22th to August 11th 2016

Early registration period:

December 1 2015 to July 31th 2016.

Late registration period:

August 1 to November 11th 2016..


Abstract submission

The format can be seen in the section Participant Guideline or ask to Mr. Claudio Muñoz sending an e-mail to

Please make sure your abstract is in Word formats only.

To send your abstract, you must before register in this website and create an user account. Then, you can send the abstract in a form from your user account or directly through the e-mail info@forestsat2016.comClick here in Register

Price & Payment

The prices for the registration (US$ American dollars) at ForestSAT-2016 are:


  • Early registration: US$ 450
  • Early student registration: US$ 200
  • Late registration: US$ 550
  • Late student registration: US$ 350
  • One day early registration: US$ 250
  • One day late registration: US$ 300

The early registration is from 1st December, 2015 to 31th July, 2016.

The late registration is from 1st August, 2016 to 11th November, 2016.

The registration fees include:

  • The access to the conference venue, the possibility to submit up to two contributions, the conference information material, six coffee breaks and three lunches for the days of November from 15th to 17th and the welcome cocktail.
  • The social dinner, participation to courses, excursions and all those costs not specified here above are not included and have to be reserved separately.



    • Registrations cancelled more than 90 days before the event will be refunded 80% of the registration fees.
    • Registrations cancelled less than 90 but more than 60 days before the event will be refunded 50% of the registration fees.
    • Registration cancelled less than 60 days before the event will not be eligible for a refund.

Substitutions of attendees can be made at any time.
Refund applicants will afford the service charge for the cancellation caused by their own reasons.



Preparations - Paper Abstract

To send your abstract, you must before register in this website and create an user account. Then, you can send the abstract in a form from your user account or directly through the e-mail
For create an user account on this website CLICK HERE
The abstracts should be in English or Spanish and must include:
  • Title of the contribution.
  • Names and affiliations of all authors.
  • Keywords: between 3 and 7 keywords are requested.
  • Text of the abstract: formatted in single spacing, with or without citations, without line numbering. Clearly describing the aim(s), materials and methods used, main results achieved. A minimum of 200 words and a maximum of the equivalent of a letter sheet should be used. 

Abstracts will be peer-reviewed by the members of the Scientific Committee.

For each contribution accepted as oral or poster presentation at least one of the Authors is expected to attend to ForestSat-2016.

Each ForestSat2016 attendee can present a maximum of two contributions (orally, in a poster session or a mixture of both).

Written Presentation (deadline, e-mail to submit)

Please prepare your presentation in the English Language. The deadline to include your presentation in the Conference Proceedings is August 31th, 2016. Papers received after this date cannot be included in the conference proceedings.

Please submit your paper in MS Word through the form from your user account or directly by email to

Format of Written Paper

The best papers will be published in an special issue of European Journal of Remote Sensing. The format of final papers must be as indicated in the following link:
Important Note: Copies of overheads or PowerPoint slides are NOT ACCEPTABLE as your written paper.

Oral Presentation

For your oral presentation you may bring a PowerPoint file on a USB flash drive (memory stick). You are highly encouraged to bring an additional copy of your presentation in case of technical difficulties. It is suggested that you email a copy of your presentation to your personal inbox as a backup. If for some reason the files can’t be accessed from your flash drive, you will be able to download them to the computer from your email. 

All oral presenters are required to submit an electronic version of their presentation 15-20 minutes prior to the beginning of the session in the meeting room. All presentations will be scanned for viruses and subsequently loaded on the main projector computer. Use of your own laptop is not recommended.

Movies: If your PowerPoint files contain movies, please make sure that they are well formatted and connected to the main files.
Timing: Please make sure that your presentation is well timed. Every speaker has a maximum of 15 minutes for speaking and 5 minutes for questions and discussion. Please keep in mind that the program is full, and that the speaker after you would like their allocated time available to them.
Poster Session
There will be an exhibition of posters at the conference and the abstracts of accepted posters will be published in the conference program. You will be notified if your abstract has been accepted for poster presentation as soon as it has been reviewed by the organizing committee. All accepted posters will be presented during the Poster Viewing Session and Coffee Breaks.
Materials to hang your poster will be available at the poster area. However, you should bring your poster printed. You will receive your poster number 4-6 weeks prior to the conference.
Your presence is recommended during lunches and coffee breaks for discussion with those who are interested in your research.
Poster Instructions
  • Regular poster size is 70 cm (wide) by 90 cm (height).
  • The text should be readable by visitors standing 1.5 meters away from the poster.
  • You may display your poster during the conference.


Preliminary Program

Please note this is not the final program, it´s subjected to minor adjustments. Click in the image to enlarge:


Preliminary Program v2 by Claudio A. Muñoz on Scribd

Sessions and Chairmen

S1. Forest Mapping & Inventory


S3. Development of Methods

S4. GOFC Fire IT meeting

S5. Forestry & Forest Management – Laszlo Pancel, GIZ, Germany.

S6. Latin American Forests

S7. Development of Methods

S8. GOFC Fire IT meeting

S9. Forest Modelling

S10. Forest Monitoring – Angela de Santis, CEQUA, Chile.

S11. Development of Methods

S12. GOFC Fire IT meeting


S14. Forest Monitoring – Nicholas Coops, Forestry UBC, Canada.

S15. Development of Methods

S16. GOFC Fire IT meeting

S17. Forest Monitoring – Angela de Santis, CEQUA, Chile.

S18. Forest Mapping & Inventory – Nicholas Coops, Forestry UBC, Canada.

S19. Development of Methods

S20. GWIS meeting

S21. Forest Monitoring

S22. Forest Mapping & Inventory

S23. Development of Methods

S24. GWIS meeting

S25. Forest Modelling

S26. Latin American Forests

S27. Development of Methods

S28. GWIS meeting



S31. Development of Methods

S32. GWIS meeting

S33. Forest Monitoring

S34. Development of Methods


S36. Forested Wetland Monitoring

S37. Forest Monitoring

S38. Development of Methods

S39. Forest Modelling

S40. Forested Wetland Monitoring


S42. Development of Methods

S43. Forest Mapping & Inventory

S44. Characterization of Fire Regimes

S45. Forest Monitoring – Angela de Santis, CEQUA, Chile.

S46. Development of Methods

S47. Forest Mapping & Inventory

S48. Characterization of Fire Regimes



ForestSat 2016 is glad to host several courses related to the use of remote sensing applied to forestry.

Classrooms are organized inside the conference building and are finalized to  work on real data. For this reason participants need to bring their own laptops.

The cost of each course is US$30 per person. The participation to the courses is strictly restricted to regularly registered ForestSat 2016 participants.

Course #1

Title: Forest Canopy Height Mapping with Radar Interferometry
Instructors: Naiara Pinto, Marc Simard, Michael Denbina.
Maximum number of participants: 30
Language: English.

Forest canopy height is an essential biophysical parameter for monitoring forest ecosystems. Under specific observation scenarios, Synthetic Aperture Radar sensors can be used to produce wall-to-wall canopy height maps through a technique called Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR). Data amenable for PolInSAR have been collected by US American and European airborne sensors, and are expected to be available from ESA’s BIOMASS radar mission, planned to launch in 2020.

This workshop presents a first introduction of the PolInSAR technique. Students will learn basic SAR concepts and work on a hands-on activity with simulated SAR data. We will cover the following topics:

1)            Typical scattering mechanisms at forest sites
2)            PolInSAR sensor observation strategy
3)            Canopy height estimation using Random Volume over Ground model
4)            Uncertainty sources: temporal decorrelation and spatial heterogeneity
5)            Examples from temperate, tropical, and boreal forest
6)            Synergies with LiDAR-derived metrics

Course #2

Title: LiDAR
Instructors: Martin Isenburg.
Maximum number of participants: 50
Language: English.

The LiDAR course will focus on how to create Canopy Height Models and plot as well as raster based forestry metrics such as canopy cover, as well as percentiles, strata, kurtosis, skewness, standard deviation, etc for both normalized heights as well as intensities. The focus of the course would be the many important choices that need to be made and their impact on the resulting output. The course will also emphasize the importance of quality checking the raw LiDAR obtained before starting to produce the needed outputs.

(1) Quality Checking

  • Validating LAS/LAZ files for ASPRS specification conformance to assure – in particular – the correctness of return numbering as this affects pulse density, canopy cover, rumple, and any other return based metric.
  • Assuring presence of flightline information and possible ways to reconstruct it if missing.
  • Using flightline information for checking proper alignment and overlap of flight lines.
  • Assuring the consistency of intensity values across flightlines and – if needed – how to correct them before computing intensity metrics.
  • Detecting the presence of clouds and their impact on intensity, point density, and return-based metrics.

(2) Preprocessing LiDAR

  • Tile-based processing and importance of maintaining buffers around tiles to avoid edge artifacts.
  • Removal of isolated low and high noise points and clouds.
  • Ground classification.
  • Height-normalization.
  • Possible impact of height-normalization on tree crown shape and treetop detection.
  • Automated detection of buildings and vegetation in rural or urban terrains.
  • Efficient clipping of plots from a large LiDAR survey.

(3) Derivative Generation

  • Standard DTM and DSM algorithms.
  • Various approached to CHM creation. in particular how to generate a “pit-free CHM” at the highest resolution supported by the LiDAR based on the popular, award-winning method by (Khosravipour et al. 2014).
  • Various approached to DSM creation and why it makes sense to use a DSM instead of a CHM to do treetop detection. time permitting we will introduce our newest algorithm (Khosravipour et al. 2015) for generating a “spike-free DSM” at the highest resolution supported by the LiDAR on the and how its benefits tree top detection.
  • Generating plot-based as well as raster-based metrics for subsequent use in random-forest type algorithms for timber volume, plantation yield, or plant biomass prediction.

Course #3

Title: Design of Forest Inventories based on Remote Sensing Data
Instructors: Günther Bronner, Umweltdata Austria.
Maximum number of participants: 50
Language: English.


The proposed workshop would bring the following topics, combined with lots of examples from real projects:

  • National forest inventories vs. inventories for forest companies
  • Permanent vs. temporary sample plots
  • Bitterlich angle count method vs. distinct circular sample plots
  • Linear sample plots
  • Regular vs. irregular inventory grids in plantations and natural grown forests
  • Concentration of sample plots in old grown forests
  • Stratification of forest areas by airborne LIDAR and spectral data
    (pre-fieldwork and post-fieldwork stratification)
  • Clustering sample plots to minimize the effort of admission to sample plots
  • Forest inventory related GNSS-navigation
  • Referencing coordinates of fieldwork-assessed trees to a canopy height model
  • Combination of RS-based figures and fieldwork-based figures
  • Plausibility-check of terrestrial measured data by RS methods
  • Wall-to-wall interpolation based on RS data
  • Forest inventory related optimization of cost efficiency and accuracy
  • Representation of inventory results for operational management and decision support
  • RS-based update of inventory data after calamities

Course #4

Title: Detection of Larch (Fitzroya cupressoides) by Hyperspectral imaging
Instructors: Pablo Cruz, Jesús Torralba, Paulina Vidal, Frederick Keusch, OTERRA, Chile.
Maximum number of participants: 50.
Language: Spanish.


During this practical exercise, students will be able to identify Larch trees, through remote sensing and hyperspectral images in the Tagua Tagua Park. The images were captured with the hyperspectral VNIR sensor HySpex 1600.

The topics of the course are:

  • Field work.
  • Minimun Noise Fraction transformation (spectral dimensionality reduction).
  • Identification of Pure Pixels (technique used to find the pixels of higher radiometric purity in the image).
  • Identification of endmembers.
  • Image clasification using algorithm SAM (Spectral Angle Mapper), which is an alghoritm that determines the spectral similarity between two elemnets.




Sponsorship provides a great means of broadening your competitive edge by improving your company’s image, prestige and credibility by supporting events that your target market finds attractive. 

Sponsorship of events in particular can be especially effective as a marketing tool because it can be a means of accessing a wide range of audiences such as decision makers in business, government entities, and of course customers. It can be particularly beneficial for companies that take part in international trade, because sponsorship transcends cultural and language barriers.

In addition, sponsoring an event is actually just advertising your company to the masses, who will support your products and services. Organizers always acknowledge the sponsors of an event by putting their names in the poster, which people can see. Sponsoring an event can be beneficial to new enterprises for its exposure.

This conference offers a wide range of sponsoring categories for branding and highlighting your company in order to achieve the best publicity.

Interested in exhibiting at ForestSAT2016 or in becoming a sponsor? Download our brochure and discover all the different solutions we offer.