Tropical forest carbon stocks featured in Medium
We are using very high resolution Planet images in combination with airborne LiDAR data over large areas of Peru to estimate forest structural characteristics and aboveground carbon stocks. Taking advantage of high spatial and temporal resolutions of Planet data, we are now reaching times where we can monitor carbon changes through time, daily, and act accordingly to protect tropical forest. We are testing machine learning approaches over the entire Peru, a highly biodiverse country that would challenge many algorithms. Check out this press release and stay tuned for more results soon!