It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
This paper investigates the use of time series of ALOS/PALSAR-1 and COSMO-SkyMed data for the soil moisture retrieval (mv) by means of the SMOSAR algorithm. The application context is the exploitation of mv maps at a moderate spatial and temporal resolution for improving flood/drought monitoring at regional scale. The SAR data were acquired over the Capitanata plain in Southern Italy, over which ground campaigns were carried out in 2007, 2010 and 2011. The analysis shows that the mv retrieval accuracy is 5%-7% m3/m3 at L-and X band, although the latter is restricted to a use over nearly bare soil only.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Consiglio Nazionale delle Ricerche (CNR)—Istituto di Studi sui Sistemi Intelligenti per l'Automazione (ISSIA), via Amendola 128/D, 70126, Bari, Italy
2 Consiglio per la Ricerca e la Sperimentazione in Agricoltura (CRA) - Centro di Ricerca per la Cerealicoltura (CER), S.S. 673, km 25, 200, 71122, Foggia, Italy
3 Politecnico di Bari (PoliBa)—Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), via Orabona 4, 70125, Bari, Italy
4 Consiglio Nazionale delle Ricerche (CNR)—Istituto per le Applicazioni del Calcolo “M. Picone”, via Amendola 128/D, 70126, Bari, Italy