Documentation for LandTrendr Optimization (LTOP)
The LandTrendr algorithm is a temporal segmentation algorithm built mostly for the Lansat image archive. It can be used for change detection analysis and temporal stabilization/homogenization of image time series. One issue with the LandTrendr algorithm is that it can be paramaterized in different ways depending on the target land cover/land change class(es) and the biophysical changes you are interested in. To address this challenge, the LandTrendr Optimization (LTOP) workflow provides an automated means of selecting different versions of LandTrendr that are more appropriate to specific geographic areas. The process relies on the Google Earth Engine Python API and Google Cloud Serivice (GCS) cloud projects/buckets.