**About the Editors**

**Simone Pascucci** (Dr): Degree in Environmental Sciences in 2009 at the University La Tuscia of Viterbo. Remote sensing expert at the IMAA-CNR Institute of Methodologies for Environmental Analysis of Tito (Italy) since February 2010. Research has been focused on different aspects related to multi- and hyper-spectral remote sensing applications for environmental, agronomic, marine and urban environments. He participated in several field, airborne and oceanographic campaigns in charge of measurement and calibration/validation for satellite and airborne sensors conducted by the institute as a technical expert, both nationally and internationally. He has participated in several international funded (FP6 and FP7) projects as a leader of work packages. He has published several articles in international journals regarding applications of hyperspectral remote sensing. His work has also been published in peer-reviewed journals on precision agriculture applications using new-generation satellite and UAVs' multi- and hyper-spectral data. He is actually working on the development of the prototyping algorithms for retrieving soil and vegetation biophysical properties for the ASI PRISMA hyperspectral mission.

**Stefano Pignatti** (Dr): Senior researcher at the National Research Council of Italy at the Institute of Methodologies for Environmental Analysis (CNR IMAA). He has worked on hyperspectral remote sensing both from ground, airborne (VSWIR and TIR) and satellite platforms since 1990. His research activity includes hyperspectral data calibration, the exploitation of hyperspectral remote sensing in environmental applications, such as the retrieval of the biophysical and biochemical properties of agricultural vegetation, the identification of vegetation stressing conditions, the monitoring of natural vegetation traits and the retrieval of the structural topsoil characteristics including the organic content. He is coordinating national and international research projects involving the processing of hyperspectral data for environmental issues. He is also involved in the development of the prototyping algorithms for retrieving biochemical and biophysical properties of vegetation suited for the ASI PRISMA hyperspectral mission.

**Raffaele Casa** (Prof): Full Professor at the University of Tuscia (Viterbo, Italy) of Agronomy (BSc level course) and Experimental Methods in Agriculture (MSc level course). He received his Ph.D. at the University of Dundee (Scotland, UK) for a research on the application of multiangular hyperspectral remote sensing to agricultural crops stress monitoring. He carried out several research periods at international institutions (University of Wageningen, Netherlands; University of Edinburgh, Dundee and Aberdeen, Scotland; INRA Avignon France; Evora, Portugal; Beijing, China) in the framework of research projects, or as a visiting professor. He has been awarded twice Marie Curie IEF fellowships from the European Commission, respectively for a 1 year stay in Scotland (1999–2000) and for a 1 year stay at INRA Avignon (2008–2009). He has been a member of the Mission Advisory Board of the Sentinel 2 Mission of the European Space Agency (ESA) and of the Earth Observation Scientific Advisory Committee of the Italian Space Agency (ASI). He has been a member of the Group of Experts on Precision Agriculture at the Italian Ministry of Agriculture (2015–2016) and co-authored the policy document on the National Guidelines for Precision Agriculture in Italy. He was a member of the Directive Committee of the Italian Society of Agronomy (SIA) in 2016–2019. He is a member of the Editorial Board of the Remote Sensing (MDPI) journal, of the Italian Journal of Agronomy and of the Italian Journal of Agrometeorology. His research has focused on the application of remote sensing and precision agriculture to the improvement of the agronomic management of crops for more than 20 years. Prof Casa has an overall H-index of 24 with 1650 citations of 71 papers indexed in the Scopus database (Elsevier). He is a member of the scientific technical committee of IBF Servizi SpA (participated by ISMEA, Bonifica Ferraresi, E-geos and A2A), the main company in Italy that offers services in precision agriculture.

**Roshanak Darvishzadeh** (Dr., Prof): Associate Professor at the Department of Natural Resources (NRS), Faculty of Geo-information Science and Earth Observation. She has a Ph.D. in hyperspectral remote sensing of vegetation from Wageningen University and ITC. Her research interests lie in quantitative remote sensing for mapping and modelling plants' biochemical and biophysical properties at leaf and canopy levels. Her research activities include analysis and exploration of various remote sensing data types at the ground, airborne and satellite platforms for assessing vegetation growth, health, disease, and stress with applications in natural as well as agricultural ecosystems. She has practical experience in the use of lab and field instruments for measuring vegetation properties as well as quantitative methods for monitoring plant traits. Her career includes several years of working in remote sensing and GIS modelling in private and public sectors before moving to academic work. She is a member of several national and international professional associations. Besides research and coordination of international projects, she is involved in educational activities, including lecturing, course development, mentoring and supervision of MSc and Ph.D. students.

**Wenjiang Huang** (Dr., Prof): Director of Key Laboratory of Digital Earth Science, Director of SINO-UK Crop Pest and Disease Forecasting & Management Joint Laboratory, working in Aerospace Information Research Institute, Chinese Academy of Science (AIR-CAS). He has a Ph.D. in Physical Geography and acted as PI for more than 40 major scientific fundings from Global Earth Observation (GEO), Ministry of Science and Technology (MOST), National Science Foundation of China (NSFC), Ministry of Agriculture and Rural Affairs (MARA) and Chinese Academy of Sciences (CAS). His research interests cover quantitative and remote sensing for agriculture, especially on crops, data fusion (multi-scale, multi-sensor and multi-temporal) for precision agricultural applications, and monitoring crop diseases using remote sensing technology. His work has been published in more than 200 SCI journal papers focused on remote sensing for crop biophysical and biochemical variable inversion and remote sensing for crop pest and disease monitoring. He has awarded more than 10 science and technology awards, including the National Science and Technology Progress Award. For more details, please visit the website (http://www.rscrop.com).
