A5020570515- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Climate change impacts on agriculture
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Plant responses to elevated CO2
- Atmospheric and Environmental Gas Dynamics
- Leaf Properties and Growth Measurement
- Remote-Sensing Image Classification
- Species Distribution and Climate Change
- Atmospheric Ozone and Climate
- Rangeland Management and Livestock Ecology
- Hydrology and Drought Analysis
- Forest ecology and management
- Water Quality Monitoring and Analysis
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- Atmospheric chemistry and aerosols
- Meteorological Phenomena and Simulations
- Animal Diversity and Health Studies
- Calibration and Measurement Techniques
- Climate variability and models
- Rangeland and Wildlife Management
Joint Research Centre
2015-2024
Oblikue Consulting (Spain)
2024
Istituto Superiore per la Protezione e la Ricerca Ambientale
2019-2023
Institute for Sustainability
2014-2019
University of Milano-Bicocca
2007-2016
European Commission
2014
University of Milan
2009-2011
Institute of Atmospheric Pollution Research
2007-2009
National Research Council
2009
Università degli Studi della Tuscia
2002-2006
Initiated in 1984, the Committee Earth Observing Satellites' Working Group on Calibration and Validation (CEOS WGCV) pursues activities to coordinate, standardize advance calibration validation of civilian satellites their data. One subgroup CEOS WGCV, Land Product (LPV), was established 2000 define standard guidelines protocols foster data information exchange relevant land products. Since then, a number leaf area index (LAI) products have become available science community at both global...
Abstract Terrestrial gross primary production (GPP) is an important parameter to explore and quantify carbon fixation by plant ecosystems at various scales. Remote sensing (RS) offers a unique possibility investigate GPP in spatially explicit fashion; however, budgeting of terrestrial cycles based on this approach still remains uncertain. To improve calculations, spatio‐temporal variability must be investigated more detail local regional The overarching goal study enhance our knowledge how...
The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative (RT) models. For current fourth phase RAMI, six highly realistic virtual plant environments were constructed basis intensive field data collected from (both deciduous and coniferous) forest stands as well test sites in Europe South Africa. Twelve RT modelling groups provided simulations scale (directional hemispherically integrated) quantities, a series binary hemispherical...
Remote sensing studies of vegetation phenology increasingly benefit from freely available satellite imagery acquired with high temporal frequency at fine spatial resolution. Particularly for heterogeneous landscapes this is good news, given the drawback medium-resolution sensors commonly used retrieval (e.g., MODIS) to properly represent fine-scale variability types. The Sentinel-2 mission acquires spectral data globally 10 60 m resolution every five days. To illustrate mission's potential...
Detailed parcel-level crop type mapping for the whole European Union (EU) is necessary evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in particular, offers opportunity to monitor land at a continental scale timely manner. However, so far potential S1 has not been explored such scale. Capitalizing on unique LUCAS 2018 in-situ survey, we present first map 10-m spatial resolution EU based S1A S1B Synthetic Aperture Radar observations year 2018. Random forest...
Abstract Forecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite challenges brought by climate change, an expanding world population accompanied rising incomes, increasing soil erosion, and decreasing water resources. Temperature, radiation, availability other environmental conditions influence growth, development, final grain yield a complex nonlinear manner. Machine learning (ML) techniques, deep (DL) methods...
This paper presents a method for mapping the nitrogen (N) status in maize field using hyperspectral remote sensing imagery. An airborne survey was conducted with an AISA Eagle sensor over experimental farm where (Zea mays L.) grown two N fertilization levels (0 and 100 kg ha−1) four replicates. Leaf canopy data were collected during flight. The has been estimated this work based on Nitrogen Nutrition Index (NNI), defined as ratio between leaf actual concentration (%Na) of crop minimum...
Abstract. The CEFLES2 campaign during the Carbo Europe Regional Experiment Strategy was designed to provide simultaneous airborne measurements of solar induced fluorescence and CO2 fluxes. It combined with extensive ground-based quantification leaf- canopy-level processes in support ESA's Candidate Earth Explorer Mission "Fluorescence Explorer" (FLEX). aim this test if signal detected from an platform can be used improve estimates plant mediated exchange on mesoscale. Canopy quantified four...
Monitoring crop and rangeland conditions is highly relevant for early warning response planning in food insecure areas of the world. Satellite remote sensing can obtain timely information such where ground data are scattered, non-homogenous, or frequently unavailable. Rainfall estimates provide an outlook drivers vegetation growth, whereas time series satellite-based biophysical indicators at high temporal resolution key about status near real-time over large areas. The new decision support...
The short revisit times afforded by recently-deployed optical satellite sensors that acquire 3–30 m resolution imagery provide new opportunities to study seasonal vegetation dynamics. Previous studies demonstrated a successful retrieval of phenology with Sentinel-2 for relatively stable annual growing seasons. In semi-arid East Africa however, responds rapidly concentration rainfall over periods and consequently is subject strong interannual variability. Obtaining sufficient density...
The frequent acquisitions of fine spatial resolution imagery (10 m) offered by recent multispectral satellite missions, including Sentinel-2, can resolve single agricultural fields and thus provide crop-specific phenology metrics, a crucial information for crop monitoring. However, effective retrieval may still be hampered significant cloud cover. Synthetic aperture radar (SAR) observations are not restricted weather conditions, Sentinel-1 ensures more the land surface. these data have been...
Abstract. This study investigates the performances in a terrestrial ecosystem of gross primary production (GPP) estimation suite spectral vegetation indexes (VIs) that can be computed from currently orbiting platforms. Vegetation were near-surface field spectroscopy measurements collected using an automatic system designed for high temporal frequency acquisition visible near-infrared region. Spectral observations two consecutive years Italy subalpine grassland equipped with eddy covariance...
This study addresses the role of satellite Earth Observation (EO) indicators within an operational crop yield forecasting system for European Union (EU) and neighbouring countries, by exploring correlation between official statistics derived from fAPAR time-series at sub-national level period 1999–2012, identifying possible differences across agro-climatic conditions in Europe. A significant yields (R2 > 0.6) was found water-limited (e.g. Black Sea region Mediterranean basin) all three crops...