The basis for the characterization of the surface energy balance is the accurate determination of the surface temperature. For this reason, thermal remote sensing techniques need to be applied to already orbiting satellites (MSG-SEVIRI, EOS-ASTER, EOS-MODIS,..), and adapted to cover the necessities of those upcoming new sensors (Sentinel-3, HyspIRI,..). Also, characterization of natural surface radiative properties, such as emissivity, and dependences with factors such as moisture, observation angle, etc. must be improved.
Data registered in field experimental campaigns using radiometric and meteorological instrumentation provide crucial information for calibrating, improving and validating the algorithms developed, contributing to a better understanding of the overall exchange processes between the surface and the atmosphere. My professional experience in this field was acquired in Spain (University of Valencia and University of Castilla-La Mancha), and USA (HydroLab and ALARC research centres).
Atmospheric correction of the radiances measured from satellite is critical to obtain accurate values of land surface temperature. I collaborated in the development of a database (Galve et al. 2008 IEEE TGRS) to obtain simulated measurements of any instrument, using as entry information global datasets of radiosoundings, data of reanalysis models (NCEP for example), and atmosphere sounding instruments present at the same platform (such as AVHRR and TOVS, or MODIS and AIRS). Also, a database of ground measures was created to compare the results obtained by the different information sources mentioned (Coll et al. 2005 RSE).
Emissivity correction of the values measured from satellite is also essential to obtain accurate values of land surface temperature. I have experience in measuring emissivity spectra of different types of surfaces taken in both laboratory and field conditions, and also in obtaining emissivity maps of the surface from land use classification maps and geometric models. For example, Niclòs et al. 2005 RSE and Niclòs et al. 2009 IJRS showed measurements of sea surface emissivity and characterized this emissivity as a function of observation angle, foam coverage and wind speed. In Mira et al. 2010 IEEE TGRS, I studied the effect of the soil moisture on the thermal emissivity values in the laboratory. I also analyzed this effect under field conditions in Sánchez et al. 2011 RSE TGRS using data from a field campaign carried out during my stay in Arizona,USA.
I have also experience on the use of remote sensing information for the assessment of water quality from lakes, reservoirs and rivers. Water reflectivity in different ranges of the visible spectrum can be used as an indicator of Chlorophyll concentration, seston content, transparency, etc. I took part in several experimental campaigns carried out in the Albufera Lake. Water samples were collected concurrent to Landsat5-TM overpasses. Using these data a model was developed that enables us to determine the trophic state of the water using satellite imagery (Doña et al. 2011, IJRS).
A recent contract with the company Deimos Imaging will permit me to use Deimos-1 images to test these models.