What's different about LandTrendr?

There are many change detection efforts in the remote sensing community.  

All change detection efforts infer change on the ground from changes in spectral properties of images (i.e. the color of the images in different parts of the visible and infrared spectrum).  

The problem is that many spectral changes are associated with uninteresting change (see below). By fitting imagery across years, the uninteresting change largely becomes noise around a longer trend, allowing better separation of real from false change, and allowing capture of trends (such as growth of vegetation or chronic vegetation mortality).