This dataset includes maps with NDSI values that come from Landsat 5 Surface Reflectance collection images available in Google Eath Engine. TIFF images cropped to a region of Lanjaron where different post-fire treatments were established are presented. This area was affected by a forest fire in September 2005. That is why NDSI values and binary layers are presented for two periods, before and after the fire (hese binary layers are generated based on a threshold of 0.35). Comparisons are made in three forest management treatments after the fire. These treatments were No Intervention (NI), Partial Court (PCL) and Salvage Logging (SL). This dataset also includes a grid with the sizes of the Landsat pixels that includes as information the treatment to which it belongs (column Trat_1). And a folder of outputs where each cell has an associated value of ancillary variables (such as elevation, slope, shadows) and another where they present the NDSI values extracted from the images of the dataset

This work is part of the project "Thematic Center on Mountain Ecosystem & Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada" (LifeWatch-2019-10-UGR-01), which has been co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line, within the Workpackages LifeWatch-2019-10-UGR-01_WP-8, LifeWatch-2019-10-UGR-01_WP-7 and LifeWatch-2019-10-UGR-01_WP-4.