Data for: Non fire-adapted dry forest of Northwestern Madagascar: escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data

Dataset for "Non fire-adapted dry forest of Northwestern Madagascar: escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data" by Percival et al. 2024 (PLOS ONE)This dataset includes:<code>ndvi_pnts.csv</code>: The NDVI time series for each pixel in the study area for BFAST analysis. This was used with the NBR time series to identify potential fire events. <code>nbr_pnts.csv</code>: The NBR time series for each pixel in the study area which was used with the NDVI time series to identify potential fire events.<code>YYYY_train.geojson</code>: The fire record training data for 2014, 2017, 2018, 2019, and 2021. Each training file (geojson) consisted of a binary fire-non-fire class for training the land cover classification algorithm.<code>fire_YYYY.gpkg</code>: The fire history maps that were created using the training data and Planet Imagery (downloadable from planet.com). These included a map of fires for the years 2014, 2017, 2018, 2019, and 2021.<code>aggregated_fires.gpkg:</code> A map of aggregated fires for the study site.<code>gedi_fires.gpkg</code>: The GEDI L2B data combined with the fire history data for the main set analyses on the effects of fire on forest structure.Metadata.<br>