Mapping the Spatial Distribution of Forest Fire Danger Using GIS. - Emilio Chuvieco; Javier Salas (Int. J. Geogr. Inf. Sci., 1996)

Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types (2003). - David Riaño 002; Emilio Chuvieco; Javier Salas; Inmaculada Aguado (IEEE Trans. Geosci. Remote. Sens., 2003)

Estimation of Canopy Gap Fraction from Terrestrial Laser Scanner Using an Angular Grid to Take Advantage of the Full Data Spatial Resolution. - John Gajardo; David Riaño 002; Mariano García; Javier Salas; M. Pilar Martín (Remote. Sens., 2020)

A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models. - Mariano García; David Riaño 002; Marta Yebra; Javier Salas; Adrián Cardil; Santiago Monedero; Joaquín Ramírez; M. Pilar Martín; Lara Vilar; John Gajardo; Susan L. Ustin (Remote. Sens., 2020)

Identifying Post-Fire Recovery Trajectories and Driving Factors Using Landsat Time Series in Fire-Prone Mediterranean Pine Forests. - Alba Viana-Soto; Inmaculada Aguado; Javier Salas; Mariano García (Remote. Sens., 2020)

Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests. - Alba Viana-Soto; Mariano García; Inmaculada Aguado; Javier Salas (Int. J. Appl. Earth Obs. Geoinformation, 2022)