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 language | English |
|---|---|
| Title of host publication | Finnish Remote Sensing Days 2012 |
| Subtitle of host publication | Book of abstracts |
| Publisher | University of Helsinki |
| ISBN (Print) | 978-952-10-8453-9 |
| Publication status | Published - 2012 |
| Event | Finnish Remote Sensing Days 2012 - Helsinki, Finland Duration: 25 Oct 2012 → 26 Oct 2012 |
Conference
| Conference | Finnish Remote Sensing Days 2012 |
|---|---|
| Country/Territory | Finland |
| City | Helsinki |
| Period | 25/10/12 → 26/10/12 |