Feb 08, 2021
Exploring the Cloud Forest
A new set of cloud computing resources and geospatial analytics systems have dramatically simplified how we work with large ecological datasets.
A new set of cloud computing resources and geospatial analytics systems have dramatically simplified how we work with large ecological datasets.
It isn’t easy to build a forest monitoring system from scratch. But that’s what we set out to do when we designed the California Forest Observatory.
It’s summer and fire season is ramping up in California. But this season is poised to be unlike any other: COVID-19 will likely reshape wildfire response priorities across the state, alter the frequency and locations of ignitions too, and hot, dry, windy weather is forecast to increase fire danger statewide.
We’re excited to share a series of documents that the California Forest Observatory team has put together as we’ve embarked on our journey to build this platform.
Linking ecology and remote sensing is a challenge mostly because the fundamental units of measurement for each field are so different—ecologists measure the distributions, traits & interactions of species, while remote sensing instruments measure the emission, absorption, reflection & interactions of radiation.