A5091326139- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Forest Management and Policy
- Land Use and Ecosystem Services
- Hydrology and Watershed Management Studies
- Urban Heat Island Mitigation
- Tree-ring climate responses
- Horticultural and Viticultural Research
- Soil and Unsaturated Flow
- Soil Geostatistics and Mapping
- Atmospheric and Environmental Gas Dynamics
- Soil Moisture and Remote Sensing
- Soil erosion and sediment transport
- Forest Ecology and Biodiversity Studies
- Irrigation Practices and Water Management
- Water resources management and optimization
- Remote Sensing and Land Use
- Climate variability and models
- Remote-Sensing Image Classification
- Urban Green Space and Health
- Plant responses to elevated CO2
- Fire effects on ecosystems
- Precipitation Measurement and Analysis
National Research Council
2013-2024
Institute of Biosciences and Bioresources
2023
Istituto di Biometeorologia
2010-2019
University of Montana
2010
University of Florence
2010
Swiss Federal Institute for Forest, Snow and Landscape Research
2007
National Academies of Sciences, Engineering, and Medicine
2005
Spatial predictions of forest variables are required for supporting modern national and sub-national planning strategies, especially in the framework a climate change scenario. Nowadays methods constructing wall-to-wall maps calculating small-area estimates parameters becoming essential components most advanced National Forest Inventory (NFI) programs. Such based on assumption relationship between predictor that available entire area. Many commonly used predictors data obtained from active...
Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of carbon fluxes stocks in forests. Yet, their predictive capacity should be demonstrated not only at stand-level but also context broad heterogeneity. We apply a stand scale PBFM (3D-CMCC-FEM) spatially explicit manner 1 km resolution southern Italy. developed methodology initialize model that includes information derived from integration Remote Sensing (RS) National Inventory (NFI)...
A recent paper has proposed the calibration of a water balance method (NDVI-Cws) at for improving estimation actual evapotranspiration (ETa) in forest areas. The concerns ecosystem sensitivity to stress (WS) and is obtained using Land Surface Analysis Satellite Application Facility (LSA SAF) products. current work addresses spatial resolution issue introduced by large pixel size these products (about 5 km) relying on psychrometric constant theory, which postulates existence linear...
The availability of accurate information on the water consumed for crop irrigation is vital importance to support compatible and sustainable environmental policies in arid semi-arid regions. This has promoted several studies about use remote sensing data monitor irrigated croplands, which are mostly based statistical classification and/or regression techniques. current paper proposes a new semi-empirical approach that relies balance logic does not require local tuning. method stems from...
The use of three estimation methods was investigated for mapping forest volume over a complex Mediterranean region (Tuscany, central Italy). first two were based on the processing satellite images, specifically summer Landsat Thematic Mapper scene. From this scene, information about extracted through nonparametric approach [k-nearest neighbor (k-NN)] and by means locally calibrated regressions. last method considered, kriging, instead used only spatial autocorrelation tree relying...
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 54:271-285 (2012) - DOI: https://doi.org/10.3354/cr01121 Modeling primary production using a 1 km daily meteorological data set F. Maselli1,*, M. Pasqui1, G. Chirici2, Chiesi1, L. Fibbi1, R. Salvati3, P. Corona3 1IBIMET-CNR, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Florence, Italy 2EcoGeoFor, Università Molise, Contrada...
Abstract Several studies have demonstrated that Monteith's approach can efficiently predict forest gross primary production (GPP), while the modeling of net ecosystem (NEP) is more critical, requiring additional simulation respirations. The NEP different ecosystems in Italy was currently simulated by use a remote sensing driven parametric model (modified C‐Fix) and biogeochemical (BIOME‐BGC). outputs two models, which simulate forests quasi‐equilibrium conditions, are combined to estimate...