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

Abstract

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

Conference

ConferenceFinnish Remote Sensing Days 2012
CountryFinland
CityHelsinki
Period25/10/1226/10/12

Fingerprint

remote sensing
forest resource
basal area
image analysis
forest management
engine
GPS
GIS
planning
project
stem
prediction
method
plan
in situ

Cite this

Molinier, M., Häme, T., Rauste, Y., Andersson, K., Korpela, I., Hovi, A., ... Rasinmäki, J. (2012). Social Forest Planning project: summary of results 2010-2012. In Finnish Remote Sensing Days 2012: Book of abstracts [53] University of Helsinki.
Molinier, Matthieu ; Häme, Tuomas ; Rauste, Yrjö ; Andersson, Kaj ; Korpela, I. ; Hovi, A. ; Hippi, I ; Rasinmäki, J. / Social Forest Planning project: summary of results 2010-2012. Finnish Remote Sensing Days 2012: Book of abstracts. University of Helsinki, 2012.
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abstract = "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.",
author = "Matthieu Molinier and Tuomas H{\"a}me and Yrj{\"o} Rauste and Kaj Andersson and I. Korpela and A. Hovi and I Hippi and J. Rasinm{\"a}ki",
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Molinier, M, Häme, T, Rauste, Y, Andersson, K, Korpela, I, Hovi, A, Hippi, I & Rasinmäki, J 2012, Social Forest Planning project: summary of results 2010-2012. in Finnish Remote Sensing Days 2012: Book of abstracts., 53, University of Helsinki, Finnish Remote Sensing Days 2012, Helsinki, Finland, 25/10/12.

Social Forest Planning project: summary of results 2010-2012. / Molinier, Matthieu; Häme, Tuomas; Rauste, Yrjö; Andersson, Kaj; Korpela, I.; Hovi, A.; Hippi, I; Rasinmäki, J.

Finnish Remote Sensing Days 2012: Book of abstracts. University of Helsinki, 2012. 53.

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

TY - CHAP

T1 - Social Forest Planning project: summary of results 2010-2012

AU - Molinier, Matthieu

AU - Häme, Tuomas

AU - Rauste, Yrjö

AU - Andersson, Kaj

AU - Korpela, I.

AU - Hovi, A.

AU - Hippi, I

AU - Rasinmäki, J.

N1 - Project code: 70934

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

M3 - Conference abstract in proceedings

SN - 978-952-10-8453-9

BT - Finnish Remote Sensing Days 2012

PB - University of Helsinki

ER -

Molinier M, Häme T, Rauste Y, Andersson K, Korpela I, Hovi A et al. Social Forest Planning project: summary of results 2010-2012. In Finnish Remote Sensing Days 2012: Book of abstracts. University of Helsinki. 2012. 53