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--- satalino:start [2019/02/07 11:46]
gsatalino [Giuseppe Satalino]
+++ satalino:start [2023/07/21 01:02] (current)
gsatalino [Publications]
@@ Line 16: / Line 16: @@
 **Author Identifier**
-Scopus AuthorID: 7003809555; ResearcherID (Web of Science): K-4482-2013; ORCID: 0000-0003-1566-5497.
+Scopus AuthorID: 58104097800; ResearcherID (Web of Science): K-4482-2013; ORCID: 0000-0003-1566-5497.
-**Bibliometric H index**
+**Bibliometric H index (2022)**
-Scopus=17; Web of Science=14; Google Scholar=19.
+Scopus=23; Web of Science=21; Google Scholar=26.
 ====== SHORT BIO ======
@@ Line 28: / Line 28: @@
 ** Career history**
-In 1991, he was a Summer Student at the European Organization for Nuclear Research (CERN), Geneva, Switzerland, where he worked on applications of neural networks to high energy physics. From 1993 to 1996 he was a grant-holder at the Alenia company and at National Research Council (CNR), Italy. Since 1996 he has been with the Institute of Intelligent Systems for Automation (ISSIA) of CNR, Bari, Italy, as a staff researcher.
+In 1991, he was a Summer Student at the European Organization for Nuclear Research (CERN), Geneva, Switzerland, where he worked on a research concerning the application of neural networks to high energy physics. From 1993 to 1996 he was a grant-holder at the Alenia company and at National Research Council (CNR), Italy. Since 1996 he has been as a staff researcher with CNR, and since 2018 with the Institute for the Electromagnetic Sensing of the Environment (IREA-CNR).
 ** Relevant experiences **
-He has been working in various international and national research projects concerning Earth Observation (EO) for land monitoring with the role, in some cases, of WP manager. The objective of these projects, mainly funded by the European Space Agency, the Italian Space Agency and recently by the H2020 European Union program, is to investigate on the use of remote sensed Synthetic Aperture Radar (SAR) and optical images for deriving spatial and temporal soil and vegetation information useful for agricultural and hydrological applications. As experimental activities, he has participated to ground measurement campaigns of soil and vegetation parameters in agricultural areas (SMAPVEX’16-MB in Canada, SMAPEx-3’11 and SMAPEx-2’10 in Australia, COSMO-SkyMed’10-11 and AQUATER’04-09 in Italy (Foggia), AgriSAR’06 in Germany, ASAR’02-06 and ERS’97-00 in Italy (Matera)). Moreover, he serves as reviewer for some international journals of remote sensing and he is author or co-author of more than 35 publications in ISI journals and more than 100 papers in conference proceedings.
+He has been working in various international and national research projects concerning Earth Observation (EO) for land monitoring, mainly funded by the European and Italia Space Agencies, and by the H2020 European Union program. The main objectives of these projects, in which he covered responsibility positions, are the development of methods for the extraction of bio-geo-physical parameters from remote sensed Synthetic Aperture Radar (SAR) and optical images, to derive relevant spatial and temporal information on soil and vegetation for agricultural and hydrological applications. He has participated to various ground measurement campaigns of soil and crop vegetation parameters in agricultural areas (SMAPVEX’16-MB in Canada, SMAPEx-3’11 and SMAPEx-2’10 in Australia, COSMO-SkyMed’10-11 and AQUATER’04-09 in Italy (Foggia), AgriSAR’06 in Germany, ASAR’02-06 and ERS’97-00 in Italy (Matera)). Moreover, he serves as reviewer for some international journals of remote sensing, and he is author or co-author of more than 150 publications in international journals and conference proceedings.
 ** Research activities **
-His researches include data classification techniques and methods for the retrieval of bio-geo-physical parameters over agricultural areas (e.g. land cover/use maps, soil moisture, vegetation biomass/leaf area index maps) derived from remote sensed SAR (L-, C- and X-band) and optical images. Related activities concern the software development for remote sensed data processing and the management of ground measurements of soil and vegetation parameters for the validation of EO-derived thematic maps. Currently, his work is focusing on the benefits of new generation remote sensed images acquired with high spatial/temporal resolution on the accuracy of EO-derived information for the agricultural/hydrological monitoring.
+His research activities concern data classification techniques, statistical methods and model-based retrieval algorithms for the estimation of bio-geo-physical parameters over agricultural areas from multi-temporal and multi-frequency remote sensed SAR (L-, C- and X-band) and optical images. The obtained EO derived products are thematic maps of land cover/use, soil moisture, vegetation biomass/leaf area index maps, and tillage change maps. Related activities concern the software development for the processing of EO data and the product validation with ground measurements. Currently, his work is focusing on the use of new generation remote sensed images acquired with high spatial and temporal resolution (in particular Sentinel-1 and Sentinel-2) and on the improvements of the retrieval accuracy of the EO derived parameters.
 ====== Publications ======
-* Scopus:
+* Scopus Author ID:
-http://www.scopus.com/authid/detail.url?authorId=7003809555
+http://www.scopus.com/authid/detail.url?authorId=58104097800
-* WOS ResearcherId:
+* WOS Researcher ID:
-<html>
+http://www.researcherid.com/rid/K-4482-2013
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+<html>
+<span id='badgeCont922700' style='width:126px'><script src='http://labs.researcherid.com/mashlets?el=badgeCont922700&mashlet=badge&showTitle=false&className=a&rid=K-4482-2013'></script></span>
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