Social Forest Planning

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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

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 publicationProceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo
Publication statusPublished - 2010
MoE publication typeNot Eligible
EventFinnish Remote Sensing Days 2010 - Espoo, Finland
Duration: 4 Nov 20105 Nov 2010

Conference

ConferenceFinnish Remote Sensing Days 2010
CountryFinland
CityEspoo
Period4/11/105/11/10

Fingerprint

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

Cite this

Häme, T., Korpela, I., Hovi, A., Hippi, I., Rasinmäki, J., Molinier, M., & Andersson, K. (2010). Social Forest Planning. In Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo
Häme, Tuomas ; Korpela, Ilkka ; Hovi, A. ; Hippi, I. ; Rasinmäki, J. ; Molinier, Matthieu ; Andersson, Kaj. / Social Forest Planning. Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo. 2010.
@inproceedings{8e51ea0ed7734751afe7c96470ef90ba,
title = "Social Forest Planning",
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 = "Tuomas H{\"a}me and Ilkka Korpela and A. Hovi and I. Hippi and J. Rasinm{\"a}ki and Matthieu Molinier and Kaj Andersson",
note = "Project code: 70934",
year = "2010",
language = "English",
booktitle = "Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo",

}

Häme, T, Korpela, I, Hovi, A, Hippi, I, Rasinmäki, J, Molinier, M & Andersson, K 2010, Social Forest Planning. in Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo. Finnish Remote Sensing Days 2010, Espoo, Finland, 4/11/10.

Social Forest Planning. / Häme, Tuomas; Korpela, Ilkka; Hovi, A.; Hippi, I.; Rasinmäki, J.; Molinier, Matthieu; Andersson, Kaj.

Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo. 2010.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

TY - GEN

T1 - Social Forest Planning

AU - Häme, Tuomas

AU - Korpela, Ilkka

AU - Hovi, A.

AU - Hippi, I.

AU - Rasinmäki, J.

AU - Molinier, Matthieu

AU - Andersson, Kaj

N1 - Project code: 70934

PY - 2010

Y1 - 2010

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 article in proceedings

BT - Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo

ER -

Häme T, Korpela I, Hovi A, Hippi I, Rasinmäki J, Molinier M et al. Social Forest Planning. In Proceedings of Finnish Remote Sensing Days 2010, November 2010, Espoo. 2010