Paolo Ferrazzoli

TL;DR: A retrieval algorithm to deliver global soil moisture (SM) maps with a desired accuracy of 0.04 m3/m3 is given, discusses the caveats, and provides a glimpse of the Cal Val exercises.

TL;DR: In this article, a detailed description of soil and vegetation modelling in L-MEB is given in order to address these needs, and the use of LMEB in soil moisture retrievals is evaluated for several experimental data sets over agricultural crops.

TL;DR: In this paper, the authors present a review of the significant progress which has been made over the last decade in this field of research with a focus on L-band, and a discussion on possible applications to the SMOS and SMAP soil moisture retrieval approaches.

TL;DR: In this article, a review of surface soil moisture retrieval from microwave radiometric systems is presented, highlighting key issues that will have to be addressed in the near future to secure operational use of the proposed retrieval approaches.

TL;DR: Polarimetric radar data collected by AIRSAR and SIR-C over agricultural fields, forests, and olive groves of the Italian Montespertoli site are analyzed and results indicate that a combined use of P(0.45 GHz) and L- (1.2 GHz) bands allows one to discriminate between agricultural fields and other targets, while a combinedUse of L- and C- bands allows the authors to discriminate within agricultural areas.