There was a presentation at foss4G in 2007 about a brazilian agency who was using stat images to track illegal logging. They had all sorts of issues with clouds and the like.
http://2007.foss4g.org/presentations/view.php?abstract_id=215 The software they developed was TerraLib http://www.dpi.inpe.br/terralib/ On Tue, Jul 7, 2009 at 7:15 PM, Catherine Burton<[email protected]> wrote: > Hi Abel, > > > > In my experience it is very difficult to count individual trees on any kind > of large scale project. There are two remotely sensed image processing > products which may be useful that I can think of off of the top of my head: > LiDAR and standard multi-spectral low-resolution imagery. Allow me to offer > a highly simplified explanation (mostly because I would need to dust off the > details in my head): > > > > - LiDAR is a data-cloud of points that can penetrate tree canopy. > LiDAR data allows an analyst identify individual trees; it is the only > remotely sensed data that can penetrate tree canopy. It is very, very > expensive to collect large swaths of LiDAR data. Some states and /or > municipalities collect it for various reasons and sometimes you can get your > hands on it if you are very nice. ;). > > - Standard multi-spectral low-resolution imagery like LANDSAT can > be classified using remote sensing image processing techniques to show > forested versus non-forested or logged areas. By doing a little ground > “truthing” and going out into a wooded area featured in a given LANDSAT > image, then counting how many trees are within a given area on the ground, > an analyst can extrapolate that data to his or her classification system. A > little aggregating later and viola, you are able to estimate how many trees > went missing after a logging event takes place. LANDSAT data is really > pretty good for picking up logged vs. non-logged areas and is free. > > > > In 2004 -2005, I worked on a project with NASA Ames DEVELOP Program to map > carbon sequestration after logging in a forest in Oregon. I’ve posted our > poster up on slideshare and you can check it out if you like: > > > > http://www.slideshare.net/CatherineHuybrechtsBurton/nasa-ames-develop-program-usda-fremont-winema-forest-carbon-management-project-2005 > > > > These are only a couple image processing techniques for identifying logging > on a large scale. I’m happy to point you in the direction of more > information on the subject if you are interested. > > > > Thanks, > > Catherine > > > > _____________________________________________________________________ > > Catherine Huybrechts Burton > > Owner / Member, Endpoint Environmental LLC > > Lead Organizer, WebMapSocial Meetup Group > > Office: (415) 668-4222 > > Cell: (415) 902-0403 > > Endpoint Environmental LLC - Changing Imagery Into Information > > > > > > > > > > From: [email protected] > [mailto:[email protected]] On Behalf Of Abel Ludba > Sent: Tuesday, July 07, 2009 2:02 PM > To: [email protected] > Subject: [Geowanking] Monitoring Illegal Logging > > > > Hi. > > > I am trying to get an overview of existing tools/technics to map and/or > handle Illegal Logging. We are trying to detect (if possible) every signle > logged tree > > > > These could also include all kinds of: Sensors, GPS, GIS, Remote Sensing, > etc. > > > > Any comment will be very welcomed. > > > > Abel. > > > > ________________________________ > > Reclaim your name @ymail.com or @rocketmail.com. Get your new email address > now! > > _______________________________________________ > Geowanking mailing list > [email protected] > http://geowanking.org/mailman/listinfo/geowanking_geowanking.org > > _______________________________________________ Geowanking mailing list [email protected] http://geowanking.org/mailman/listinfo/geowanking_geowanking.org
