Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloAn algorithm for generating soil moisture and snow depth maps from microwave spaceborne radiometers: HydroAlgo
Anno di pubblicazione2012
Autore/iSanti, E.; Pettinato, S.; Paloscia, S.; Pampaloni, P.; Macelloni, G.; Brogioni, M.
Affiliazioni autoriCNR IFAC
Autori CNR e affiliazioni
  • inglese
AbstractA systematic and timely monitoring of land surface parameters that affect the hydrological cycle at local and global scales is of primary importance in obtaining a better understanding of geophysical processes and in managing environmental resources as well as natural disasters. Soil moisture and snow water equivalent are two quantities that play a major role in these applications. In this paper an algorithm for hydrological purposes (called hereinafter HydroAlgo), which is able to generate maps of snow depth (SD) and soil moisture content (SMC) from AMSR-E data, has been developed and implemented within the framework of the JAXA ADEOS-II/AMSR-E and GCOM/AMSR-2 programs, as well as of a project of the Italian Space Agency that is devoted to civil protection from floods and landslides. As auxiliary output, the algorithm also generates maps of vegetation biomass (VB). An initial phase of pre-processing includes the improvement of spatial resolution, as well as masking for urban areas, water bodies, and dense vegetation. The algorithm was then split into two branches, the first of which focused on the retrieval of SMC and the second, on SD. Both parameters were retrieved using Artificial Neural Network (ANN) methods. The algorithm was calibrated using a wide set of experimental data collected on three sites: Mongolia and Australia (for SMC), and Siberia (for SD), integrated with model simulations. These results were then validated by comparing the algorithm outputs with experimental data collected on two additional sites: a part of a watershed in Northern Italy, and a large portion of Scandinavia. An additional test of the algorithm was also performed on a large scale, and included sites characterized by differing climatic and meteorological conditions.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da3659
Pagine a3676
Pagine totali18
RivistaHydrology and earth system sciences
Attiva dal 1997
Editore: Copernicus Publ. - Göttingen
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1027-5606
Titolo chiave: Hydrology and earth system sciences
Titolo proprio: Hydrology and earth system sciences.
Titolo abbreviato: Hydrol. earth syst. sci.
Titoli alternativi:
  • HESS (Göttingen. Print)
  • Hydrology and earth system sciences (Print)
Numero volume della rivista16
Fascicolo della rivista10
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000310474300012)
Parole chiaveRemote sensing, soil moisture, snow, retrieval algorithm
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Strutture CNR
  • IFAC — Istituto di fisica applicata "Nello Carrara"
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-