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Nicola Puletti

Researcher at Canadian Real Estate Association

Publications -  64
Citations -  1282

Nicola Puletti is an academic researcher from Canadian Real Estate Association. The author has contributed to research in topics: Forest management & Computer science. The author has an hindex of 15, co-authored 53 publications receiving 880 citations. Previous affiliations of Nicola Puletti include University of Florence & Consiglio per la ricerca e la sperimentazione in agricoltura.

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Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data

TL;DR: In this article, the authors proposed the functional guilds mapping approach to monitor compositional changes of tropical forests, especially with respect to the effects of global climate change on forests, and particularly in the tropical biome where the occurrence of hundreds of species prevents mapping activities at species level.
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Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems

TL;DR: In this paper, the authors describe the development and testing of a procedure which combines remotely sensed and ancillary data to monitor forest productivity in Italy, based on a straightforward parametric model (C-Fix) that uses the relationship between the fraction of photosynthetically active radiation absorbed by plant canopies (fAPAR) and relevant gross primary productivity (GPP).
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Integrated forest management to prevent wildfires under mediterranean environments

TL;DR: In this article, a review presented a multidisciplinary framework for integrating the ecological, regulatory, procedural and technical aspects of forest management for fires prevention under Mediterranean environments, with an outline commentary discussion targeted to professionals, technicians and government personnel involved in forestry and environmental management.
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Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

TL;DR: In this article, the authors test Sentinel-1 SAR multitemporal data, supported by multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground biomass (AGB) at the provincial level in a Mediterranean forested landscape.
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Use of Sentinel-2 for forest classification in Mediterranean environments

TL;DR: In this paper, the ability of S2 for forest type mapping in a Mediterranean environment was evaluated using three operational S2 images covering different phenological periods (winter, spring, summer) were processed and analyzed.