hardware

VirtualForest ending

After almost a decade of running the VirtualForest project intermittently I’ve decided to twilight the project. Storm damage a few years back took out the camera and I’ve not found the time or funding to rebuild the setup. The original domain name (virtualforest.io) will therefore expire and will not be affiliated with BlueGreen Labs. The website, for the time being, will be hosted on a subdomain of BlueGreen Labs (https://virtualforest.bluegreenlabs.org).

Continuity in phenological monitoring: Assessing the performance of an updated PhenoCam

We provide default hardware specification to guarantee continuity in the PhenoCam network. This necessitates inter near-surface remote sensing camera calibration to ensure consistency within and between sites. The results of this study support the integration of the Live 2 camera into the PhenoCam Network, thereby facilitating the continuation of long-term phenological monitoring efforts.

ICOS PhenoCam server debugging

Today I helped finalize the ICOS carbon portal PhenoCam server infrastructure setup, together with Jan Segers. We also adjusted the installation instructions to better reflect real world scenarios, this should help ICOS affiliated sites (and PhenoCam US location) setup their cameras. In addition, it was a fun reunion with old colleagues on the green campus at “Drie Eiken” of the University of Antwerp. I’m looking forward to stopping by more often the coming year within the context of the recent OSCARS grant collaboration.

PhenoCam Open Science Clusters' Action for Research & Society grant funded

providing tools for sustainable and long term PhenoCam monitoring

VirtualForest camera damaged

After almost three years storm Babet damages the VirtualForest camera setup beyond repair, replacement in the near future unlikely.

Open hardware development

We provide open hardware development in support of (academic) research.

Virtual forest

A scientific outreach project to engage citizens with observing and enjoying phenology in VR.

TetraPi

A Raspberry pi based multi-spectral camera. A cost effective solution for vegetation monitoring.