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.
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).
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.
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.
The distributions of intra-community variability of leaf-out were similar in Europe and eastern North American forests, despite the latter being more species-rich and phylogenetically diverse.
providing tools for sustainable and long term PhenoCam monitoring
A drop in replacement for the PhenoCam StarDot cameras
After almost three years storm Babet damages the VirtualForest camera setup beyond repair, replacement in the near future unlikely.
Existing models poorly predict the timing of spring green-up in grasslands. New model shows grassland green-up is driven by both precipitation and temperature.
Existing models of grassland phenology poorly predict green-up. Inclusion of precipitation, in addition to temperature, resulted in significantly better model results, although different thresholds apply across different climate regions.