[<][<=][=>]Index of this webpage
**++Climatology from Satellites Group (GCS)++**
**++Research Lines++**
**I ''VALIDATION OF LOW SPATIAL RESOLUTION EARTH OBSERVATION REMOTE SENSING DATA AND PRODUCTS. THE VALENCIA ANCHOR STATION''**
**II ''SOIL & VEGETATION''** (tbc)
**III ''WATER STUDIES''**
**IV ''TERRESTRIAL APPLICATIONS OF GNSS-R, -IR''**
**V ''RADIATIVE BALANCE STUDIES (CERES, GERB, EarthCARE, SEVIRI)''**
**++[The Valencia Anchor Station https://tinyurl.com/yyzc4url]++**
**What is an ''ANCHOR STATION''**? (from Professor H.-J. Bolle † March 2013)
**Rationale**/
**Desirable measurements at ''Anchor Stations''**/
How Representative are the ''Valencia Anchor Stations'' measurements with respect to its surrounding meteorology?
**++Recent Research Projects++**
**++Publications++**
**Other Significant Publications++**
**++Capacity Building & Professional Education in Earth Observation**++
**++Postgraduate Course on ''New Observation and Watching Systems in Meteorology and Climatology''++**
**++Hosting Foreign Young Researchers / Students in Short Stays for I+D+i / Academic Work Activities**++
**++Acknowledgment**++
[<][<=][=>][*]
**++Research Lines++**
I VALIDATION OF LOW SPATIAL RESOLUTION EARTH OBSERVATION REMOTE SENSING DATA AND PRODUCTS. THE VALENCIA ANCHOR STATION
I.1 Validation Site Characterization
I.2 Development of validation methodologies
• I.2.1 Soil moisture content and vegetation water content
• I.2.2 Vegetation biophysical parameters (fraction of absorbed photosynthetic active radiation -fAPAR, terrestrial chlorophyll, leaf area index -LAI)
• I.2.3 Radiation (including cloud and aerosol effects)
II SOIL & VEGETATION (tbc)
III WATER STUDIES
III.1 Development of a reliable soil moisture network
III.2 Soil moisture upscaling and downscaling techniques
III.3 Impact of soil moisture on land surface - atmosphere interactions
III.4 Remote Sensing for Water Management Optimisation (RESEWAM-O)
Fig. 1. Valencia Anchor Station soil moisture network
Fig. 2. Soil moisture validation methodology. Generation of ground-based soil moisture maps (upscaling) from the soil moisture network measurements through the definition of homogeneous physio-hydrological units considering soil type, vegetation cover, lithology, physiography topography, ...
(Ernesto Lopez-Baeza & the VAS Team: Ahmad Al Bitar, M. Carmen Antolin, Jan Balling, Fernando Belda, Catherine Bouzinac, Alejandro Buil, Fernando Camacho, Aurelio Cano, Ester Carbo, J. Cernicharo, M. Amparo Coll, Malcolm Davidson, Steven Delwart, Arancha Fidalgo, Achim Hahne, Silvia Juglea, Yann Kerr, Beatriz Martinez, Christian Mätzler, Susanne Mecklenburg, Arnaud Mialon, Cristina Millan, Cecilia Narbon, Mickael Parde, Fernando Requena, Kauzar Saleh, Mike Schwank, Niels Skou, Sten S. Søbjærg, Jorge Tamayo, I Torralba, Elena Torre, Ingo Voelksch, Jean-Pierre Wigneron, Patrick Wursteisen, Mehrez Zribi (2019): Towards Validation of SMOS Land Products Using the Synergy Between Models, Airborne and Ground-based Data Over the Valencia Anchor Station. Definition of Matching-up Points to SMOS Observations. IEEE International Symposium on Geoscience and Remote Sensing-IGARSS 2010. Remote Sensing: Global Vision for Local Action. Session on SMOS: The Beginning of an L-band Generation of Global Remote Sensed Soil Moisture Observations II. Honolulu, Hawaii, 25-30 July 2010)
IV TERRESTRIAL APPLICATIONS OF GNSS-R, -IR
IV.1 Intercomparison of different GNSS receivers
IV.2 Intercomparison of different configurations (Beidou, Galileo, GPS, GLONASS)
• IV.2.1 soil moisture
• IV.2.2 vegetation
SOMOSTA (SOil MOisture STAtion) Experiment (2014-2016): Intercomparison of L-Band GNSS-R and ELBARA-II passive radiometer soil moisture retrievals with in situ ground measurements at the Valencia Anchor Station. GNSS-R retrieved soil moisture is in good agreement with the soil moisture probes. Both L-band remote sensing techniques show the same variation tendency and are sensitive to the influence of precipitation (Cong et al., 2019)
SOMOSTA (SOil MOisture STAtion) Experiment (2018- ): Intercomparison of CHC_N72 and Trimble GNSS receivers as a previous step to intercomparing their respective soil moisture retrievals both under the different BeiDou, Galileo, GPS and GLONASS constellations (Lopez-Baeza et al., 2018)
Preliminary analysis of the variation pattern of the SNR registered at the RHCP antenna of the CHC-N72 receiver showing amplitudes and initial phases (Lopez-Baeza et al., 2018)
[Lopez-Baeza, Ernesto; Lei Yang, Mutian Han, Julian Tortola, Lili Jing, Cong Yin, Erika Albero, Jose Darrozes, Dongkai Yang, Natalia Garrido, Jose Luis Berne, Manuel Martin-Neira (2018): GNSS-IR Soil Moisture Retrieval at the Valencia Anchor Station . 7th Joint China-ESA GNSS-R Workshop, Beijing, China, 19 Nov 2018]
Results obtained over the successive locations of the CHC-N72 receiver at the Valencia Anchor Station (Yang et al., 2021)
[Lei Yang, Ernesto Lopez-Baeza, Zhouzhou Ma, Xuebao Hong, Dongkai Yang, Lili Jing, Fan Gao, Jose Darozzes (2021): GNSS-R Soil Moisture Inversion Using Robust Kalman Filter Model and Status Update at the Valencia Anchor Station. 10th Joint China-ESA GNSS-R Workshop, Beijing, China, Nov 17-19, 2021]
V RADIATIVE BALANCE STUDIES (CERES, GERB, EarthCARE, SEVIRI)
V.1 top of the atmosphere, atmosphere, surface
V.2 clear sky, all sky
V.3 radiative transfer models
