Interactive Basal Area Estimations from Mobile Phone Images

Matthieu Molinier, Tuomas Häme, Kaj Andersson, I. Korpela, A. Hovi

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 to be developed 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]. This paper focuses on interactive delineation of tree stems, that enables automatic computation of tree stem basal area [m2/ha], the key variable in the estimation of the growing stock volume.
Original languageEnglish
Title of host publicationProceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo
Publication statusPublished - 2011
EventFinnish Remote Sensing Days 2011 - Espoo, Finland
Duration: 24 Nov 201125 Nov 2011

Conference

ConferenceFinnish Remote Sensing Days 2011
CountryFinland
CityEspoo
Period24/11/1125/11/11

Fingerprint

basal area
stem
remote sensing
forest resource
image analysis
forest management
engine
GPS
GIS
mobile phone
method
planning

Cite this

Molinier, M., Häme, T., Andersson, K., Korpela, I., & Hovi, A. (2011). Interactive Basal Area Estimations from Mobile Phone Images. In Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo
Molinier, Matthieu ; Häme, Tuomas ; Andersson, Kaj ; Korpela, I. ; Hovi, A. / Interactive Basal Area Estimations from Mobile Phone Images. Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo. 2011.
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title = "Interactive Basal Area Estimations from Mobile Phone Images",
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 to be developed 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]. This paper focuses on interactive delineation of tree stems, that enables automatic computation of tree stem basal area [m2/ha], the key variable in the estimation of the growing stock volume.",
author = "Matthieu Molinier and Tuomas H{\"a}me and Kaj Andersson and I. Korpela and A. Hovi",
note = "Project code: 70934",
year = "2011",
language = "English",
booktitle = "Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo",

}

Molinier, M, Häme, T, Andersson, K, Korpela, I & Hovi, A 2011, Interactive Basal Area Estimations from Mobile Phone Images. in Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo. Finnish Remote Sensing Days 2011, Espoo, Finland, 24/11/11.

Interactive Basal Area Estimations from Mobile Phone Images. / Molinier, Matthieu; Häme, Tuomas; Andersson, Kaj; Korpela, I.; Hovi, A.

Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo. 2011.

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

TY - CHAP

T1 - Interactive Basal Area Estimations from Mobile Phone Images

AU - Molinier, Matthieu

AU - Häme, Tuomas

AU - Andersson, Kaj

AU - Korpela, I.

AU - Hovi, A.

N1 - Project code: 70934

PY - 2011

Y1 - 2011

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 to be developed 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]. This paper focuses on interactive delineation of tree stems, that enables automatic computation of tree stem basal area [m2/ha], the key variable in the estimation of the growing stock volume.

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 to be developed 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]. This paper focuses on interactive delineation of tree stems, that enables automatic computation of tree stem basal area [m2/ha], the key variable in the estimation of the growing stock volume.

M3 - Conference abstract in proceedings

BT - Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo

ER -

Molinier M, Häme T, Andersson K, Korpela I, Hovi A. Interactive Basal Area Estimations from Mobile Phone Images. In Proceedings of Finnish Remote Sensing Days 2011, November 2011, Espoo. 2011