A5047086575- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Species Distribution and Climate Change
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Tree-ring climate responses
- Forest Management and Policy
- Forest Ecology and Biodiversity Studies
- Geographic Information Systems Studies
- Cryospheric studies and observations
- Ecology and Vegetation Dynamics Studies
- Soil Geostatistics and Mapping
- Geological and Geophysical Studies
- Fire Detection and Safety Systems
- 3D Surveying and Cultural Heritage
- Global Energy Security and Policy
- Global Energy and Sustainability Research
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Coastal wetland ecosystem dynamics
- Aeolian processes and effects
University of Padua
2019-2025
Forest Science and Technology Centre of Catalonia
2023-2025
Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro
2022
Mendel University in Brno
2016-2017
Abstract. Active remote sensing systems orbiting the Earth are only a small portion of current constellation satellites and will increase in number advance technology future. The launch GEDI sensor December 2018, for an expected life-span period about 2 years, is fundamental step this revolution, as it first spaceborne full-waveform lidar specifically designed measuring structure ecosystems, providing information vertical profile forests.Accuracy assessment height metrics context Alpine...
One of many possible climate change effects in temperate areas is the increase frequency and severity windstorms; thus, fast cost efficient new methods are needed to evaluate wind-induced damages forests. We present a method for assessing windstorm forest landscapes based on two-stage sampling strategy using single-date, post-event airborne laser scanning (ALS) data. ALS data used delineating damaged stands an initial evaluation volume fallen trees. The total trees then estimated...
The Araucaria-Nothofagus forests are a unique ecosystem in temperate rainforests of Chile and Argentina. They include red-listed species have high cultural importance for the ancestral population thus require continuous monitoring to support conservation. Monitoring phenology by satellite observations is key tool quantify impact climate variability on terrestrial vegetation. Here we aim provide first quantification ecological understanding land surface protected Conguillío National Park...
Abstract. This study presents results regarding the estimation of two critical variables for modelling fire behaviour and danger: canopy base height (CBH) bulk density (CBD). Both have been mapped as raster datasets at a 100-meter spatial resolution across Europe, harmonizing data all EU countries. Therefore, these fuels are subsequently used further processing identification danger assessment, being key input forest prevention actions. A more in-depth analysis findings has submitted to...
Abstract. In this work, an ensemble of machine learning algorithms was trained using stratified sampling from existing European-scale biomass map 2018 to predict updated version for 2020. The objective stratification is make sure that the full range values represented. sampled were filtered remove areas did subject forest disturbances between and This information available cover/loss/gain maps derived satellite imagery. We train a total 49 features following sources: bioclimatic data,...
Estimating carbon stocks in wooded systems is crucial to quantify national greenhouse gas balance estimates. However, inaccurate estimates are likely due the divergent architecture of many species. The monkey puzzle tree Araucaria araucana, with its umbrella-like a vivid example. This species, often found monodominant stands at high elevations, greatest reservoir landscape, hence estimating storage crucial. To provide necessary basis for these estimations, we documented variation basic...
Abstract. In this study estimation of tree damage from a windthrow event using feature detection on RGB high resolution imagery is assessed. An accurate quantitative assessment the in terms volume important and can be done by ground sampling, which notably expensive time-consuming, or manual interpretation analyses aerial images. This latter method also requires an expert operator investing time to manually detect damaged trees apply relation functions between measures are error-prone....
In this study estimation of tree damage from a windthrow event using feature detection on RGB high resolution imagery is assessed. An accurate quantitative assessment the in terms volume important and can be done by ground sampling, which notably expensive time-consuming, or manual interpretation analyses aerial images. This latter method also requires an expert operator investing time to manually detect damaged trees apply relation functions between measures are error-prone....
Fires in the Amazon are of great concern because they threaten integrity tropical forest biome, carbon cycle, and air quality. Fire emissions depend on burning behaviour vegetation biomass, woody debris, litter. However, effects fuels combustion process composition fire simplified current emission inventories models. Several new approaches have recently been developed to better quantify by either making use improved spatial resolution modern satellite observations or developing modelling...
Canopy fuels and surface fuel models, topographic features other canopy attributes such as stand height cover, provide the necessary spatial datasets required by various fire behaviour modelling simulators. This is a technical note reporting on pan-European map server, highlighting methods for production validation of features, more specifically fuels, models created European Union Horizon 2020 FIRE-RES project, well related data derived from earth observation. The aim was to deliver...
Laser scanning data are increasingly used to segment forests into homogeneous units, called segments or stand compartments. Region growing and region merging have been traditionally employed for this purpose. Recently, alternative methods such as cellular automata (CA), self-organizing maps (SOM), combinatorial optimization emerged, promising more delineations. However, these newer often require fine-tuning due rugged boundaries. To address this, we propose assess a novel hybrid approach...
Abstract. Mangrove forests provide ecosystem services that can support the welfare of local communities. Therefore, promoting their conservation not only protects environmental functions but also optimizes economic potential. Remote sensing approaches, particularly active systems such as synthetic aperture radar (SAR), have emerged a valuable tool for monitoring forest ecosystems. These capture Earth's surface features regardless atmospheric conditions. However, backscatter approach becomes...
Canopy base height (CBH) and canopy bulk density (CBD) are forest fuel parameters that key for modeling the behavior of crown wildfires. In this work, we map them at a pan-European scale year 2020, producing new dataset consisting two raster layers containing both variables an approximate resolution 100 m. Spatial data from Earth observation missions derived down-stream products were retrieved processed using artificial intelligence to first estimate aboveground biomass (AGB). Allometric...
We present a browser-based App for smartphones that is freely available to end-users collecting geotagged and oriented photos depicting vegetation biomass fuel characteristics. Our solution builds on advantages of smartphones, allowing their use as easy sensors collect data by imaging forest ecosystems. The strength innovation the proposed based following points: (i) using low memory footprint App, streaming images with little data-volume needed; (ii) JavaScript APIs can be launched from...
Initial results of biomass estimation in the La Fusta area from existing equations found literature are presented. As expected, accuracy general suffer equation coefficients being obtained fitting training data different sites. It is also clear that there a high variance between methods, particular when complex mixture applied. Biomass difficult to assess for dense forests, as pixels saturated. This must be considered planning field-data collection, with more samples forest provide robust...
Aim of the study: The aim this study is to provide information on species-specific basic wood density (g cm-3) and moisture content (%) in Mediterranean shrublands. Area covers two sites sclerophyllous shrubland central Chile, Cortaderal (34°35’S 71°29’W) Miraflores (34°08’S 70°37’W), characterized by different climatic topographic conditions. Material methods: sampling area 4,000 m2 over four plots at sites. Shrub species were identified size-related attributes such as height crown size...
Abstract. Earth observation via remote sensing imagery provides a fast way to define alteration levels. In this work 12 stands of Araucaria-Nothofagus forests were selected in southern Chile, which represented four levels: (i) None (ii) Low (iii) Medium and (iv) High. The surveyed measuring 379 field plots Google Engine was used collect composite Sentinel-2 images over one-year range, from June 2019 2020. following approaches tested: aggregating the normalized difference vegetation index...
Abstract Key message Here, we present a workflow for determining the optimal tree height model and calibration design forests affected to varying degrees by anthropogenic disturbance. For mixed Araucaria - Nothofagus forests, predictions in newly surveyed stands are most accurate effective when of up five random trees is measured recalibrate predefined nonlinear mixed-effects models. Context Araucaria-Nothofagus Chile disturbances such as intentional forest fires, grazing, seed harvesting,...
Abstract. Initial results of biomass estimation in the La Fusta area from existing equations found literature are presented. As expected, accuracy general suffer equation coefficients being obtained fitting training data different sites. It is also clear that there a high variance between methods, particular when complex mixture applied. Biomass difficult to assess for dense forests, as pixels saturated. This must be considered planning field-data collection, with more samples forest provide...