Phenological dataset for ecological forecasting - PheDEF - Landsat image subsets and derived vegetation indices

This dataset is part of a data collection that combines phenology and climate data from multiple sources in two tropical forest ecosystems, a moist semi-deciduous and a dry semi-deciduous forest, that can be used for machine learning applications in climate, forests, and biodiversity conservation at community and landscape scales. The dataset includes Landsat satellite image subsets and derived indices.Images were downloaded using the Earth Explorer Python API. Individual bands were stacked and cropped to the study area. To calculate the vegetation indices, bands were scaled using the scaling Factor SR = (DN * 0.0000275) - 0.2 as described in the Landsat8-9, Collection2 Level2 Science Product Guide. Indices were then multiplied by 10000, and the datatype was set to int16. We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).