Pablo J. Zarco-Tejada holds a degree in Agricultural Engineering from the School of Agricultural Engineering and Forestry, University of Córdoba, Spain, an MSc degree in Remote Sensing from the University of Dundee, Scotland, UK, and a PhD degree in Earth and Space Science from York University, Toronto, Canada where he focused on developing a Forest Condition Rating System as part of the Bioindicators of Forest Sustainability Project using remote sensing. He was Contract Faculty in remote sensing at the University of California, Davis, USA. Dr Zarco-Tejada works on remote sensing for assessing the physiological condition of croplands and forestry areas through leaf and canopy modelling, and the use of vegetation indices in the context of precision agriculture and forestry. He is on a leave of absence as Director of the Laboratory for Research Methods in Quantatitive Remote Sensing (QuantaLab-CSIC) in Spain, and former Director of the Institute for Sustainable Agriculture (IAS), Spanish Council for Scientific Research (CSIC) between 2008 and 2012.
His main interests are related to very high resolution multi/hyperspectral/thermal remote sensing for crop and forest monitoring and disease detection using manned (aircraft), unmanned aerial vehicles (UAV / UAS / RPAS) and multispectral and thermal satellite imagery. Dr Zarco-Tejada has been the principal investigator of EU-, ESA- and Spanish-funded projects on hyperspectral remote sensing using unmanned aerial vehicles for precision agriculture and forestry. He is author of more than 100 papers listed in SCOPUS (h = >35; total cites = >5,000) published in international journals, Associate Editor of Remote Sensing of Environment, belongs to the scientific committee of EJA and Remote Sensing, and has been the recipient of awards during his scientific career for the work conducted in remote sensing in Spain, the United Kingdom and Canada. As an expert on algorithm development for pre-visual stress detection using remote-sensing methods, Dr Zarco joins the Forest Resources and Climate Unit (H03) of the JRC to implement research methods focused on the assessment of the health of trees in forests and croplands through the analysis of thermal, hyperspectral, and multispectral remote-sensing imagery, in particular related to the outbreaks of the Pine Wood Nematode (PWN) and other diseases in crops, such as the outbreak of Xylella fastidiosa in olive orchards.
Pablo J. Zarco-Tejada
Joint Research Centre (JRC)
Institute for Environment and Sustainability (IES)
Forest Resources and Climate Unit (JRC.IES.H.3)
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