E
Emanuele Santi
Researcher at International Federation of Accountants
Publications - 179
Citations - 2910
Emanuele Santi is an academic researcher from International Federation of Accountants. The author has contributed to research in topics: Snow & Water content. The author has an hindex of 23, co-authored 168 publications receiving 2301 citations. Previous affiliations of Emanuele Santi include National Research Council.
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Journal ArticleDOI
Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation
Simonetta Paloscia,Simone Pettinato,Emanuele Santi,Claudia Notarnicola,Luca Pasolli,Antonio Reppucci +5 more
TL;DR: An approach based on an Artificial Neural Network has been proposed that represents a good compromise between retrieval accuracy and processing time, thus enabling compliance with the timeliness requirements of GMES Sentinel-1 characteristics.
Journal ArticleDOI
A multifrequency algorithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites
TL;DR: An algorithm is proposed for the retrieval of soil moisture based on the sensitivity to moisture of both the brightness temperature and the polarized index at C-band, one that is able to correct for the effect of vegetation by means of the polarization index at X-band.
Journal ArticleDOI
A Comparison of Algorithms for Retrieving Soil Moisture from ENVISAT/ASAR Images
TL;DR: An intercomparison of algorithms for retrieving soil moisture content (SMC) from ENVIronmental SATtellite (ENVISAT)/Advanced Synthetic Aperture Radar images showed that the predictions of the ANN were slightly more suitable than the other methods for generating maps in reasonable time.
Journal ArticleDOI
Airborne GNSS-R Polarimetric Measurements for Soil Moisture and Above-Ground Biomass Estimation
Alejandro Egido,Simonetta Paloscia,Erwan Motte,Leila Guerriero,Nazzareno Pierdicca,M. Caparrini,Emanuele Santi,Giacomo Fontanelli,Nicola Floury +8 more
TL;DR: It was determined that for low-altitude GNSS-R airborne platforms, the reflectivity polarization ratio provides a highly reliable observable for SMC due to its high stability with respect to surface roughness.
Journal ArticleDOI
Remote monitoring of soil moisture using passive microwave-based techniques — Theoretical basis and overview of selected algorithms for AMSR-E
I. E. Mladenova,Thomas J. Jackson,E. Njoku,Rajat Bindlish,S. Chan,Michael H. Cosh,Thomas R. H. Holmes,R.A.M. de Jeu,Lucas A. Jones,John S. Kimball,Simonetta Paloscia,Emanuele Santi +11 more
TL;DR: A more thorough understanding is provided of the fundamental differences between the algorithms and how these differences affect their performance in terms of range of soil moisture provided and suggestions for improvements and increased reliability are suggested.