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On the synergy of airborne GNSS-R and landsat 8 for soil moisture estimation

Author
Sánchez Martín, Nilda; Alonso-Arroyo, A.; Martinez, J.; Piles, M.; González, Á.; Camps, A.; Vall-llossera, M.
Type of activity
Journal article
Journal
Remote sensing
Date of publication
2015-08-01
Volume
7
Number
8
First page
9954
Last page
9974
DOI
https://doi.org/10.3390/rs70809954 Open in new window
Project funding
Aplicaciones avanzadas en radio ocultaciones y dispersometría utilizando señales GNSS y otras señales de oportunidad
Repository
http://hdl.handle.net/2117/79572 Open in new window
URL
http://www.mdpi.com/2072-4292/7/8/9954 Open in new window
Abstract
While the synergy between thermal, optical, and passive microwave observations is well known for the estimation of soil moisture and vegetation parameters, the use of remote sensing sources based on the Global Navigation Satellite Systems (GNSS) remains unexplored. During an airborne campaign performed in August 2014, over an agricultural area in the Duero basin (Spain), an innovative sensor developed by the Universitat Politecnica de Catalunya-Barcelona Tech based on GNSS Reflectometry (GNSS-R)...
Citation
Sanchez, N., Alonso-Arroyo, A., Martinez, J., Piles, M., Gonzalez, A., Camps, A., Vall-llossera, M. On the synergy of airborne GNSS-R and landsat 8 for soil moisture estimation. "Remote sensing", 01 Agost 2015, vol. 7, núm. 8, p. 9954-9974.
Keywords
Difference water index, GPS, High-resolution, Imagery, NDWI, Retrieval, SMOS, Vegetation
Group of research
CTE-CRAE - Space Science and Technology Research Group
RSLAB - Remote Sensing Lab

Participants

Attachments