Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/237320
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Single-pass soil moisture retrievals using GNSS-R: Lessons learned |
Autor: | Camps, Adriano CSIC ORCID; Park, Hyuk; Castellví, Jordi; Corbera, Jordi; Ascaso, Emili | Palabras clave: | GNSS-R Soil moisture Reflectivity Surface roughness |
Fecha de publicación: | 2020 | Editor: | Multidisciplinary Digital Publishing Institute | Citación: | Remote Sensing 12(12): 2064 (2020) | Resumen: | In this paper, an algorithm to retrieve surface soil moisture from GNSS-R (Global Navigaton Satellite System Reflectometry) observations is presented. Surface roughness and vegetation effects are found to be the most critical ones to be corrected. On one side, the NASA SMAP (Soil Moisture Active and Passive) correction for vegetation opacity (multiplied by two to account for the descending and ascending passes) seems too high. Surface roughness effects cannot be compensated using in situ measurements, as they are not representative. An ad hoc correction for surface roughness, including the dependence with the incidence angle, and the actual reflectivity value is needed. With this correction, reasonable surface soil moisture values are obtained up to approximately a 30° incidence angle, beyond which the GNSS-R retrieved surface soil moisture spreads significantly. | Descripción: | This article belongs to the Special Issue Applications of GNSS Reflectometry for Earth Observation. | Versión del editor: | https://doi.org/10.3390/rs12122064 | URI: | http://hdl.handle.net/10261/237320 | DOI: | 10.3390/rs12122064 | E-ISSN: | 2072-4292 |
Aparece en las colecciones: | (ICE) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
singlearn.pdf | 12,5 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
WEB OF SCIENCETM
Citations
24
checked on 25-feb-2024
Page view(s)
58
checked on 23-abr-2024
Download(s)
74
checked on 23-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons