RPI Engine: visualization in a web environment of post-fire regeneration using Landsat time series

The main objective of this study is to develop a web visualization tool which allows recognizing post-fire vegetation regeneration at pixel level from selected burned areas. Regeneration trajectories are based on the variations that spectral indices have (NDVI, NBR and TCW). Making use of the Earth Engine Code Editor platform (EECE) has been possible through the use of JavaScript language and other algorithms already integrated in Google Earth Engine (GEE), to generate those indices from Landsat time series (1984-present). Moreover, we implemented the graphical interface with which the user can visualize and interact with results and additional information.