Pablo J. Zarco Tejada

Laboratory for Research Methods in Quantitative Remote Sensing (QuantaLab)
The Laboratory for Research Methods in Quantitative Remote Sensing (QuantaLab) belongs to the Institute for Sustainable Agriculture (IAS), National Research Council (CSIC), Spain. QuantaLab’s work focuses on quantitative methods for remote sensing in agriculture and forestry, with main interests on vegetation stress detection, physiological condition and precision agriculture. QuantaLab’s researchers have experience with airborne hyperspectral and thermal sensors to estimate biochemical and biophysical parameters of vegetation, and the effects of chlorophyll fluorescence on leaf apparent reflectance. The hyperspectral and thermal imagers currently operated by QuantaLab are used to develop methods for successful estimation of vegetation pigment concentration, nitrogen, water content and leaf area index in closed and heterogeneous canopies. New research methods are based on small unmanned platforms (UAVs/ UAS / RPAS) carrying passive and active sensors for precision agriculture, environmental impact assessment, stress detection, and irrigation management. The group is participant in EU, ESA, NASA and Spanish-funded research projects with main focus on hyperspectral remote sensing. QuantaLab leads research projects with private companies worldwide focused on applied research and technology transfer.

2014. Zarco-Tejada, P.J., Diaz-Varela, R., Angileri, V., Loudjani, P., Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo reconstruction methods, European Journal of Agronomy, Vol. 55, 89-99.

2014. Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete, A.R., Zarco-Tejada, P.J., Lee, J-E., Moran, M.S., Ponce-Campos, G., Beer, C., Camps-Valls, G., Buchmann, N., Gianelle, D., Klumpp, K., Cescatti, A., Baker, J.M., Griffis, T.J., Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence,  Proceedings of the National Academy of Sciences (PNAS), doi: 10.1073/pnas.1320008111.

2013. Zarco-Tejada, P.J., González-Dugo, V., Williams, L.E., Suárez, L., Berni, J.A.J., Goldhamer, D., Fereres, E., A PRI-based water stress index combining structural and chlorophyll effects: assessment using diurnal narrow-band airborne imagery and the CWSI thermal index, Remote Sensing of Environment, 138, 38-50.

2013. Zarco-Tejada, P.J., Catalina, A., González, M.R., Martín, P., Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery,Remote Sensing of Environment 136, 247–258.

2012. Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera, Remote Sensing of Environment, 117, 322-337.

Airborne data collection using hyperspectral, multispectral and thermal cameras on board manned and unmanned aircraft platforms (UAVs, UAS, RPAS).

Radiometric calibration of RGB, CIR, multispectral and hyperspectral cameras in optics laboratory facilities.

Spectral calibration of hyperspectral cameras in laboratory using monochromators.

Processing of imagery acquired from hyperspectral and thermal cameras on board aircraft to generate mosaics of radiance, reflectance and vegetation indices related to water and nutrient stress.

  • Email: pablo.zarco@csic.es
  • IAS adjoining building – Office 1 ground floor
  • Phone: (+34) 957 49 92 80

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