I am an environmental scientist specialising in remote sensing data analysis, in particular the analysis of time series of coarse resolution satellite images for vegetation monitoring. My main research interests concern the use of remotely sensed images for the analysis of vegetation characteristics at different spatial scales.

I graduated Environmental Sciences at the University of Milano-Bicocca in 2001. My graduation thesis work focused on the classification of aerial hyperspectral data for the identification of asbestos-concrete roofs.

After graduation, my work focused on developing techniques for estimation of vegetation biochemical and structural parameters useful for carbon balance modeling, and analysis of MODIS time series for forest monitoring. I worked on the estimation of Primary Production of forest ecosystems in Lombardia using a light use efficiency model driven by MODIS-derived fAPAR maps and meteorological data. This was also the topic of my PhD at the University of Milano-Bicocca (graduated 2007).

My main post-doctoral research activity concerned the use of MODIS data for phenological monitoring and the analysis of relationships between phenological and climatic interannual variability in Alpine areas, as well as for the analysis of post-fire vegetation regeneration from MODIS satellite data, and the estimation of Above Ground Biomass increment from Remote Sensing and Forest Inventory data.

I am currently employed at the Institute for Remote Sensing of Environment of the Italian National Research Council (CNR-IREA), were I mainly work on analysing remote sensing data at various spatial and temporal resolutions for agriculture applications.

• lbusett@gmail.com
• lorenzo.busetto