Support Us A citizen project for forest monitoring

October 1, 2012 in Featured Project, Open Science, PyBossa

Tropical forests provide habitat for most of the world’s known terrestrial plant and animal species. These ecosystems are under increasing threat worldwide. During the last few decades, several million hectares of humid tropical forest were lost each year. Despite the proliferation of new remote sensing technologies, information about the status of world’s forest is limited and unevenly distributed.

The immense task of protecting for future generations an adequate share of world’s remaining forest is outside the reach of traditional conservation strategies alone. It calls for collective action to complement existing initiatives.

ForestWatchers proposes a new paradigm in conservationism, based on the convergence of volunteer computing/thinking with free (or donated) catalogs of high-resolution Earth imagery.

This citizen science project aims at making possible for anyone (locals, volunteers, NGOs, governments, etc), anywhere in the world, to monitor selected patches of forest across the globe, almost in real-time, using a computer connected to the Internet.

The project is an international partnership between the Brazil’s National Institute for Space Research (INPE), the Federal University of Sao Paulo, the Citizen Cyberscience Centre (CCC) and the Open Society Foundations.

Promotional video with Universal Subtitles

Based on the collaboration with INPE (leaders in deforestation monitoring and responsible for the DETER program in the Amazon basin — Real Time Deforestation Detection System), has recently released a first application, an alpha version, where everyone is invited to collaborate with us.

The application tries to reflect one of the first steps carried out by the experts at INPE when they assess deforestation for a given area of the forest.

In this first step, the experts compare several satellite images from the same area using pictures from different days. Why? Because some days some parts of the selected area will be fully or partially covered by clouds making impossible to analyze the deforestation. For this reason, the experts “cut & copy” the good areas creating a “collage”, or composite image, that will be almost “cloud-free”. This final image will be used in the next steps to study and analyze the deforestation of the area.

The ForestWatchers application gives you the option to participate and become one of these experts as you will be able to choose from different days which are the best parts of the image for creating the final one. With the collaboration of many volunteers this step could be done much faster and probably better.

The application has been built using the open source crowd-sourcing framework PyBossa (developed by the Citizen Cyberscience Centre and the Open Knowledge Foundation).

PyBossa Logo
PyBossa is a free, open-source, platform for creating and running crowd-sourcing applications that utilize online assistance in performing tasks that require human cognition, knowledge or intelligence such as image classification, transcription, geocoding and more!

In this specific case, the first application is using PyBossa to run image classification or pattern recognition, while the next applications will involve geocoding tasks where the users will actually report where are deforested areas using the images that the volunteers have previously classified.

  • Mike Linksvayer

    Looks like an excellent site. I selected a few tiles and feel rather cloudy about my choices, but I understand how these crowd wisdom things work, so I don’t feel too stupid. :)

    I’m guessing from the ODbL notice I found at the bottom of that this will actually be an Open Data/Open Knowledge project (the software being Open Source is more clear, and that’s fantastic), though I had to click around a bit before I noticed, and I’m not sure as there are no explicit terms, nor any download.

    I’d suggest being more explicit about the Open Data/Open Knowledge status of the project — it seems a pretty big deal, as most “crowdsourced” projects really are such — all rights assigned to whoever controls the project, eg the user agreement part of

    • Daniel Lombraña González

      Dear Mike,

      First of all let me say thanks for contributing a bit of your time to this project. I’m one of the developers of the project and I can confirm you that the source code and data have an open license (in fact the code is already available here:

      You can access the data of the completed tasks directly from the web application here:

      Last week we also added an online web map where you can see the progress of the classified images by the volunteers in almost real time. Check the Preliminary Results section in this link:

      We would be updating those results basically daily so all the community will be able to actually see the progress of their contributions (check the layers as you can enable for example all the hydrography of the Amazon basin, the Indigenous reserves, etc.).

      If you have any feedback about how we can improve the project, please, go ahead and send us by e-mail, here, or in Twitter whatever you think that we should improve! We want to create this project with you: the community!!!

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