Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Giovanni D'Amico"'
Autor:
Francesco Parisi, Giovanni D’Amico, Elia Vangi, Gherardo Chirici, Saverio Francini, Claudia Cocozza, Francesca Giannetti, Guglielmo Londi, Susanna Nocentini, Costanza Borghi, Davide Travaglini
Publikováno v:
Forests, Vol 15, Iss 4, p 660 (2024)
The quantification of tree-related microhabitats (TreMs) and multi-taxon biodiversity is pivotal to the implementation of forest conservation policies, which are crucial under the current climate change scenarios. We assessed the capacity of Airborne
Externí odkaz:
https://doaj.org/article/7c0c511812d449928fce6ff7231f73fa
Autor:
Giovanni D’Amico, Ronald E. McRoberts, Francesca Giannetti, Elia Vangi, Saverio Francini, Gherardo Chirici
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 199-212 (2022)
Forest parameter estimation is required to support the sustainable management of forest ecosystems. Currently, forest resource assessment is increasingly linked to auxiliary information obtained from remote sensing (RS) technologies. In forest parame
Externí odkaz:
https://doaj.org/article/31cbbac047a64edb8ba5d9459092ac33
Autor:
Saverio Francini, Elia Vangi, Giovanni D’Amico, Costanza Borghi, Guido Cencini, Cecilia Monari, Catherine Zolli, Gherardo Chirici
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTQuantifying the carbon-stocking contribution of forest plantations is a crucial but challenging and expensive process, usually performed through field analysis. For this reason, plantations’ carbon storage is often calculated and reported u
Externí odkaz:
https://doaj.org/article/a4a640f8bcd140f0a25679a585c296b1
Autor:
Francesco Parisi, Elia Vangi, Saverio Francini, Giovanni D’Amico, Gherardo Chirici, Marco Marchetti, Fabio Lombardi, Davide Travaglini, Sonia Ravera, Elena De Santis, Roberto Tognetti
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
Biodiversity monitoring represents a major challenge to supporting proper forest ecosystem management and biodiversity conservation. The latter is indeed shifting in recent years from single-species to multi-taxon approaches. However, multi-taxonomic
Externí odkaz:
https://doaj.org/article/bff933ba4ccf4b2e8b926f47cf34bf9d
Autor:
Gherardo Chirici, Francesca Giannetti, Giovanni D’Amico, Elia Vangi, Saverio Francini, Costanza Borghi, Piermaria Corona, Davide Travaglini
Publikováno v:
Forests, Vol 14, Iss 11, p 2170 (2023)
In the context of the potential future use of unmanned ground vehicles for forest inventories, we present the first experiences with SPOT, a legged robot equipped with a LiDAR instrument and several cameras that have been used with a teleoperation ap
Externí odkaz:
https://doaj.org/article/c3ef76c3d98b411db2f762d80002bc70
Autor:
Saverio Francini, Alice Cavalli, Giovanni D’Amico, Ronald E. McRoberts, Mauro Maesano, Michele Munafò, Giuseppe Scarascia Mugnozza, Gherardo Chirici
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1638 (2023)
Afforestation is one of the most effective processes for removing carbon dioxide from the atmosphere and combating global warming. Landsat data and machine learning approaches can be used to map afforestation (i) indirectly, by constructing two maps
Externí odkaz:
https://doaj.org/article/a4baf96bf44142c5a6c4f18e37984a8c
Autor:
Francesca Giannetti, Gherardo Chirici, Elia Vangi, Piermaria Corona, Fabio Maselli, Marta Chiesi, Giovanni D’Amico, Nicola Puletti
Publikováno v:
Forests, Vol 13, Iss 12, p 1989 (2022)
Several political initiatives aim to achieve net-zero emissions by the middle of the twenty-first century. In this context, forests are crucial as a carbon sink to store unavoidable emissions. Assessing the carbon sequestration potential of forest ec
Externí odkaz:
https://doaj.org/article/9268c8631c9141de9eb5523b1cb8bb10
Autor:
Carmelo Bonannella, Gherardo Chirici, Davide Travaglini, Matteo Pecchi, Elia Vangi, Giovanni D’Amico, Francesca Giannetti
Publikováno v:
Fire, Vol 5, Iss 3, p 68 (2022)
Large-scale forest monitoring benefits greatly from change detection analysis based on remote sensing data because it enables characterizing forest dynamics of disturbance and recovery by detecting both gradual and abrupt changes on Earth’s surface
Externí odkaz:
https://doaj.org/article/47ec952eb89f40e8a1f40f6ddd4047c5
Publikováno v:
Sensors, Vol 22, Iss 5, p 2015 (2022)
Forests play a prominent role in the battle against climate change, as they absorb a relevant part of human carbon emissions. However, precisely because of climate change, forest disturbances are expected to increase and alter forests’ capacity to
Externí odkaz:
https://doaj.org/article/1680c890b7a749e297f39249548ddc14
Autor:
Francesca Giannetti, Matteo Pecchi, Davide Travaglini, Saverio Francini, Giovanni D’Amico, Elia Vangi, Claudia Cocozza, Gherardo Chirici
Publikováno v:
Forests, Vol 12, Iss 6, p 680 (2021)
Mapping forest disturbances is an essential component of forest monitoring systems both to support local decisions and for international reporting. Between the 28 and 29 October 2018, the VAIA storm hit the Northeast regions of Italy with wind gusts
Externí odkaz:
https://doaj.org/article/827c9b42dee9452da55d783a71857d0c