Pablo Zarco-Tejada

Pablo J. Zarco-Tejada has an MSc in Remote Sensing from the University of Dundee, Scotland and a PhD in Earth and Space Science from York University, Toronto, where he developed a Forest Condition Rating System as part of the Bioindicators of Forest Sustainability Project using hyperspectral remote sensing. Later he became Contract Faculty in remote sensing at the University of California. He 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 leave of absence as Director of the Laboratory for Research Methods in Quantatitive Remote Sensing of the Spanish Council for Scientific Research between 2008-2012. Main interests are related to very high resolution multi/hyperspectral/thermal remote sensing for crop and forest monitoring and early disease detection using manned aircraft, unmanned aerial vehicles (UAV/UAS/RPAS) and multispectral and thermal satellite imagery. He has been principal investigator of EU, ESA and Spanish-funded projects on hyperspectral remote sensing using UAVs for precision agriculture and forestry. He is author of >100 papers listed in SCOPUS (h >35; total cites >5000) published in international journals, Assoc. Editor of Remote Sensing of Environment, belongs to the scientific committee of EJA and Remote Sensing, and has received awards for work conducted in remote sensing in Spain, UK and Canada. As an expert on algorithm development for pre-visual stress detection using remote-sensing methods, he joined Forest Resources and Climate Unit of the JRC in Dec. 2015 to implement research methods to assess tree health in forests and croplands through analysis of thermal, hyperspectral and multispectral remote-sensing imagery, in particular related to the outbreaks of Pine Wood Nematode and other diseases in crops, such as the outbreak of Xylella fastidiosa in olive orchards.


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