Smart Forest Network Aims to Promote the Flow of Sensor Data from Experimental Forests


Why Smart Forest Network?

A vision for a cross-country network of forest stations sensor is to deliver the best quality information to anyone who needs it. There is something has been developing in the Northern forests of the United States.

Today, in the US Forests Service’s Experimental Forest framework gives hydrological and meteorological information from only three destinations. But as the program keeps on developing, the system will give consistent estimations that will make it simpler to see how forest ecosystems function and change across the small watersheds of the country.

Are Smart Forest Network already working?

According to John Campbell, the installed sensors are already running at many experimental forests, but tracking down and working with that information isn’t easy for researchers interested in studying various sites, a research ecologist with the U.S. Forest Service. Campbell again said, “They’re not collected in a local format and all units are different. You would have to contact individuals at the site to try to get the data. Even though the information are being collected, they’re not in the usable form.”

The Smart Forest Network has started to address those issues at the Hubbard Brook, Fernow and Marcell Experimental Forests in New Hampshire, West Virginia and Minnesota. A clearing in each forest hosts sensors estimating precipitation, solar radiation, wind speed and direction, air temperature, relative humidity. Additional soil sensors measure moisture and a temperature profile.  Webcams at the stations record pictures to track phenological events and upload the data to the Phenocam Network. They’re also following the flows in nearby. I believe this is a much more automated methods, Campbell said.

Smart Forest in Minnesota

A Smart Forest sensor tower at Marcell Experimental Forest in Minnesota



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