Evaluation of risk scenarios in Ecuador using Visible Infrared Imaging Radiometer Suite remote sensing, ERA5-Land climate data, and XGBoost
The present study aims to develop and optimize a spatial risk scenarios model for forest fires in Ecuador through the integration of machine learning and satellite remote sensing. To this end, 103,224 historical records of thermal anomalies captured by the VIIRS sensor were processed, along with five continuous meteoro...