A5077770020- Remote Sensing in Agriculture
- Rangeland Management and Livestock Ecology
- Land Use and Ecosystem Services
- Climate change impacts on agriculture
- Plant Water Relations and Carbon Dynamics
- Ecology and Vegetation Dynamics Studies
- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Animal Diversity and Health Studies
- Rangeland and Wildlife Management
- Groundwater and Watershed Analysis
- Remote Sensing and LiDAR Applications
- Agricultural risk and resilience
- Zoonotic diseases and public health
- Agriculture and Rural Development Research
- Urban Heat Island Mitigation
- Fire effects on ecosystems
- Soil Geostatistics and Mapping
- Energy and Environment Impacts
- Cryospheric studies and observations
- Spectroscopy and Chemometric Analyses
- Reservoir Engineering and Simulation Methods
- Leaf Properties and Growth Measurement
- Climate variability and models
- Agriculture Sustainability and Environmental Impact
University of Milan
2009-2025
International Livestock Research Institute
2016-2024
University of Milano-Bicocca
2009-2019
University of Sassari
2011-2013
Sun-induced fluorescence (SIF) in the far-red region provides a new noninvasive measurement approach that has potential to quantify dynamic changes light-use efficiency and gross primary production (GPP). However, mechanistic link between GPP SIF is not completely understood. We analyzed structural functional factors controlling emission of at 760 nm (F760 ) Mediterranean grassland manipulated with nutrient addition nitrogen (N), phosphorous (P) or nitrogen-phosphorous (NP). Using...
Abstract In this paper, we evaluate the impact of mineral dust (MD) on snow radiative properties in European Alps at ground, aerial, and satellite scale. A field survey was conducted to acquire spectral reflectance measurements with an Analytical Spectral Device (ASD) Field Spec Pro spectroradiometer. Surface samples were analyzed determine concentration size distribution MD each sample. An overflight a four‐rotor Unmanned Aerial Vehicle (UAV) equipped RGB digital camera sensor carried out...
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 cultivation of marginal lands for bioenergy production has recently become a topic research interest the agronomic and agricultural economy scientific communities. growing availability arable land in Mediterranean regions, as consequence decline cereal cropping systems grain legume, provides ample opportunities performing successful feedstock on unmanaged areas. This paper seeks to capture analyze ongoing emerging questions concerning area framework sustainability indicators. A...
Abstract. This study investigates the performances of different optical indices to estimate gross primary production (GPP) herbaceous stratum in a Mediterranean savanna with nitrogen (N) and phosphorous (P) availability. Sun-induced chlorophyll fluorescence yield computed at 760 nm (Fy760), scaled photochemical reflectance index (sPRI), MERIS terrestrial-chlorophyll (MTCI) normalized difference vegetation (NDVI) were from near-surface field spectroscopy measurements collected using high...
The satellite monitoring of vegetation moisture content (VMC) and soil (SMC) in Southern European Atlantic mountains remains poorly understood but is a fundamental tool to better manage landscape dynamics under climate change. In the humid Portugal, we investigated an empirical model incorporating (Sentinel-1 radar, S1; Sentinel-2 optical, S2) ancillary predictors (topography cover type) monitor VMC (%) SMC (%). Predictors derived from S1 (VV, HH VV/HH) S2 (NDVI NDMI) are compared field...
In this study we produced the first thematic maps of submerged and coastal habitats Lampi Island (Myanmar) from in situ satellite data. To focus on key elements bio-diversity typically existing tropical islands detection corals, seagrass, mangrove forests was addressed. Satellite data were acquired Landsat-8; for purpose validation Rapid-Eye also used. supporting image processing collected a field campaign performed 28 February to 4 March 2015 at time sensors overpasses. A hybrid approach...
Urbanization is predicted to be a key driver of disease emergence through human exposure novel, animal-borne pathogens. However, while we suspect that urban landscapes are primed expose people novel diseases, evidence for the mechanisms by which this occurs lacking. To address this, studied how bacterial genes shared between wild animals, livestock, and humans (n = 1,428) across Nairobi, Kenya—one world’s most rapidly developing cities. Applying multilayer network framework, show low...
The aim of this study is to analyze the accuracy a Digital Elevation Model (DEM) created with photogrammetric techniques from stereoscopic pairs aerial photos in areas complex geomorphologic characteristics. evaluation DEM and derived geomorphometric parameters was conducted by comparison other standard products (i.e. TINITALY/01 ASTER GDEM-V2) assessment based on Check Points (CPs). validation process includes elevation profiles, calculation accuracies, effect slope aspect accuracy.The...
Restoration interventions to combat land degradation are carried out in arid and semi-arid areas improve vegetation cover productivity. Evaluating the success of an intervention over time is challenging due various constraints (e.g. difficult-to-access areas, lack long-term records) standardised affordable methodologies. We propose a semi-automatic methodology that uses remote sensing data provide rapid, objective assessment biophysical impact, terms cover, restoration interventions. The...
Abstract. Considerable uncertainties and unknowns remain in the regional mapping of methane sources, especially extensive agricultural areas Africa. To address this issue, we developed an observing system that estimates emission rates by assimilating drone flux tower observations into atmospheric dispersion model. In study, apply approach to verify quantify potential sources identified through radiance anomalies observed hyperspectral satellite data. We compare different methods estimate...