My PhD is based on the optimization of existing methodologies and design of new ones for the estimation of essential biophysical parameters (CWC, LAI, Chl) for the monitoring of agricultural crops, both by means of hyperspectral (HyMap) and multispectral (Sentinel-2) information.Some of my publications:✔Pasqualotto, N.; Delegido, J.; Van Wittenberghe, S.; Verrelst, J.; Rivera, J.P.; Moreno, J. (2018). Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index. International Journal of Applied Earth Observation and Geoinformation, no 67, pp. 69-78.✔Pasqualotto, N.; Delegido, J.; Van Wittenberghe, S.; Rinaldi, M.; Moreno, J. (2019). Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI). Sensors, vol. 19, pp. 904.✔Pasqualotto, N.; D’Urso, G.; Bolognesi, S.F.; Belfiore, O.R.; Van Wittenberghe, S.; Delegido, J.; Pezzola, A.; Winschel, C.; Moreno, J. (2019). Retrieval of Evapotranspiration from Sentinel-2: Comparison of Vegetation Indices, Semi-Empirical Models and SNAP Biophysical Processor Approach. Agronomy, vol. 9, no 10, pp. 663.In addition, I have participated in several international projects, including:🔸Hyperspectral biomonitoring: air quality and the city (HYPERCITY). Development of a methodology for passive biomonitoring of pollution in cities, using hyperspectral data and leaf symmetry. 🔸Sentinels Synergy for Agriculture (SENSAGRI). Project H2020 in which the synergy between optical (Sentinel-2) and radar (Sentinel-1) data is exploited to analyse (1) soil moisture, (2) green and brown LAI and (3) crop mapping.🔸Advanced products for the FLEX mission (AVANFLEX). Development of new methods for obtaining biophysical parameters by means of Machine Learning and development of techniques for the estimation of APAR, NPQ and fluorescence, to obtain the real GPP and relate it to the vegetation stress.https://ipl.uv.es/

Stay in the company Ariespace, a period in which several field campaigns were carried out with different instruments for measuring biophysical parameters in crops and learning new methodologies based on Sentinel-2 spectral information for irrigation optimization and productivity prediction.Main skills acquired:💡Use of field instrumentation, mainly SPAD-502 (chlorophyll) and LicorLAI-2200 (LAI).💡Design of field protocols.💡Processing and atmospheric correction of Sentinel-2 images mainly through ESA's SNAP program.💡Application of methodologies for the estimation of biophysical parameters, mainly vegetation indices and products derived from the Artifical Neural Network.💡Maps of biophysical parameters.💡Estimation of evapotranspiration from agricultural areas using the Penman-Monteith equation (FAO56-PM) adapted to Sentinel-2.https://www.ariespace.com/en/home-2/