**About the Editors**

#### **Alfonso Fern´andez-Manso**

Dr. Alfonso Fernandez-Manso is a full professor in Applied Remote Sensing at the University ´ of Leon and a member of the Consolidated Research Unit 210 (UIC) of Applied Ecology and Remote ´ Sensing (GEAT). His research interests are focused on the use of new geoinformation technologies in forest fires (remote sensing and GIS), territorial innovation (sensu lato), and the study of biocultural systems. In relation to geoinformation technologies, his research focuses on estimating the damage caused by forest fires from satellite data and has allowed for the establishment of bases for forest management at the local, regional, and national levels and for the application of advanced models based on spectral mixtures for the study of forest resources. His contributions to the generation of knowledge can be summarized as follows: (1) he has derived new remote sensing methods from surface energy balance to diagnose the severity of large forest fires, and (2) he has applied classifiers with a higher level of complexity to the study of forest fires, thus obtaining a higher reliability (MESMA, RLM, RF, or RN). The scientific–technical transfer of his knowledge has been applied to contracts with different companies and Regional Administrations, as well as transfer projects, such as the FIREMAP program. He has conducted research stays, promoting the exchange of scientific knowledge, in various institutions, among which include the University of California, the International Institute for Geoinformation Science and Earth Observation (Enschede, The Netherlands), and the National Institute for Space Research.

#### **Carmen Quintano**

Dr. Carmen Quintano is a senior lecturer at the University of Valladolid (Spain) and a member of the Institute of Sustainable Forest Management of the University of Valladolid and of the Consolidated Research Unit 210 (UIC) of Applied Ecology and Remote Sensing (GEAT) of the University of Leon. Her research interests are focused on the use of new geoinformation technologies ´ (remote sensing and GIS) applied to natural resources, specifically the study of the impact of forest fires. Her research focuses on the estimation of damage caused by forest fires from satellite data and has allowed for the establishment of bases for forest management at the local, regional, and national levels and for the application of advanced models based on spectral mixtures for the study of forest resources. Her contributions have generated knowledge in the following: (1) the implementation of innovative techniques for the measurement of burn severity from the use of biophysical variables derived from satellite data; (2) the application of new remote sensing techniques, specifically SMA and MESMA, in the study of forest fires; (3) the design of novel spectral indices from satellite images to quantify burn severity with high reliability; (4) the use of classifiers with high levels of complexity in the study of forest fires (multinomial logistic regression, random forest, neural networks, or MAXENT); and (5) participation in the design and programming of the RS-EducA software, which allows satellite images to be processed in a very intuitive way.
