@mathieuGravey You can read more about how/why in this paper - 3rd paragraph of the "Landsat time series data" section https://t.co/iMopc2iCRU
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
RT @eMapR_Lab: LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. On…
LandTrendr + #EarthEngine in action: post-fire vegetation (NBR) recovery assessed using segmented #Landsat time series. One notable finding: post-fire climate anomalies are important predictors of recovery rate. Paper: https://t.co/oqD13RL6W1 LT in EE: