Social Forest Planning project: summary of results 2010-2012

Matthieu Molinier, Tuomas Häme, Yrjö Rauste, Kaj Andersson, I. Korpela, A. Hovi, I Hippi, J. Rasinmäki

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific


    The overall objective of the Social Forest Planning project is to develop and demonstrate a novel system for forest management planning and updating of present plans. The system combines images from cellular phones with remote sensing data to predict forest variables. The variables are input to a Planner Engine that outputs forest resources information for every forest stand and feeds them into a Geographical Information System (GIS). The GPS location tag in the images makes it possible to use them easily as in-situ reference data. The main technical development goal of Social Forest is to develop automatic and interactive methods for the cell phone image analysis. The automatic methods were presented in Remote Sensing Days 2010 [2], and interactive delineation of tree stems for computing basal area in Remote Sensing Days 2011 [3]. This paper gives an overview of results of the whole processing chain. Latest results include stand-wise predictions of forest variables from satellite and cell-phone images and analyzed cell-phone images as a reference data.
    Original languageEnglish
    Title of host publicationFinnish Remote Sensing Days 2012
    Subtitle of host publicationBook of abstracts
    PublisherUniversity of Helsinki
    ISBN (Print)978-952-10-8453-9
    Publication statusPublished - 2012
    EventFinnish Remote Sensing Days 2012 - Helsinki, Finland
    Duration: 25 Oct 201226 Oct 2012


    ConferenceFinnish Remote Sensing Days 2012


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