Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Fabio Maselli"'
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2155 (2024)
A recently proposed modelling strategy predicts the net primary production (NPP) of forest ecosystems by combining the outputs of a NDVI-driven model, Modified C-Fix, and a bio-geochemical model, BIOME-BGC. This combination strategy takes into accoun
Externí odkaz:
https://doaj.org/article/a1984f7856894ef7ae225f114641a210
Autor:
Piero Battista, Edoardo Bellini, Marta Chiesi, Sergi Costafreda-Aumedes, Luca Fibbi, Luisa Leolini, Marco Moriondo, Bernardo Rapi, Riccardo Rossi, Francesco Sabatini, Fabio Maselli
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTRelative soil water content (RSWC) is widely used to characterize the impact of water stress (WS) on vegetation. In bi-layer ecosystems, such as olive groves, this impact must be primarily estimated for the tree component, which, having great
Externí odkaz:
https://doaj.org/article/5a67ea333e6345c6b20b8191fd64656b
Autor:
Marta Chiesi, Luca Angeli, Piero Battista, Luca Fibbi, Bernardo Rapi, Bernardo Gozzini, Fabio Maselli
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 23-36 (2022)
A recent study has proposed and tested a semi-empirical method to estimate crop irrigation based on a water balance logic and Sentinel-2 Multi Spectral Instrument (MSI) NDVI imagery. The current paper aims at extending the same approach to the analys
Externí odkaz:
https://doaj.org/article/eac6ecdf9b994504b681b9fb6086f77c
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 232 (2024)
The current communication presents the application of a consolidated model combination strategy to analyze the medium-term carbon fluxes in two Mediterranean pine wood ecosystems. This strategy is based on the use of a NDVI-driven parametric model, M
Externí odkaz:
https://doaj.org/article/f7b2c88ff3694feba5715ecf1269b6a2
Autor:
Chiara Lapucci, Andrea Antonini, Emanuele Böhm, Emanuele Organelli, Luca Massi, Alberto Ortolani, Carlo Brandini, Fabio Maselli
Publikováno v:
Sensors, Vol 23, Iss 22, p 9258 (2023)
Understanding and monitoring the ecological quality of coastal waters is crucial for preserving marine ecosystems. Eutrophication is one of the major problems affecting the ecological state of coastal marine waters. For this reason, the control of th
Externí odkaz:
https://doaj.org/article/d3ea021b01c74c0c990c13808b68a0b2
Autor:
Maurizio Pieri, Luca Massi, Caterina Nuccio, Luigi Lazzara, Felicita Scapini, Claudia Rossano, Fabio Maselli
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss 1, Pp 281-295 (2021)
Recent research has demonstrated that the TRophic IndeX (TRIX) is informative on the ecological quality of Mediterranean port waters and can be estimated by the processing of multispectral observations collected in situ. The current study investigate
Externí odkaz:
https://doaj.org/article/538944929a514a189ad16cc5ff22069c
Autor:
Maurizio Pieri, Marta Chiesi, Luca Fibbi, Piero Battista, Andrea Antonini, Bernardo Rapi, Francesco Sabatini, Bernardo Gozzini, Fabio Maselli
Publikováno v:
Water, Vol 14, Iss 19, p 3101 (2022)
Aridity and drought, which are determined by climatic and temporary water scarcity, respectively, are important limiting factors for plant gross primary production. These phenomena are commonly assessed and/or monitored by means of weather indices, m
Externí odkaz:
https://doaj.org/article/965a982827ca4776be209f8d3164c454
Autor:
Marta Chiesi, Piero Battista, Luca Fibbi, Lorenzo Gardin, Maurizio Pieri, Bernardo Rapi, Maurizio Romani, Francesco Sabatini, Fabio Maselli
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 88-95 (2019)
Recent studies have demonstrated that the soil water content (SWC) of Mediterranean ecosystems can be simulated by combining ground data and remote sensing observations of Normalized Difference Vegetation Index (NDVI). The application of this approac
Externí odkaz:
https://doaj.org/article/b2c1c6d207254d038af6078f63fe09a3
Autor:
Chiara Lapucci, Fabio Maselli, Graziella Chini Zittelli, Giulio Betti, Valentina Vannucchi, Massimo Perna, Stefano Taddei, Bernardo Gozzini, Alberto Ortolani, Carlo Brandini
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 4, p 461 (2022)
In recent years, the occurrence of Ostreopsis ovata (O. ovata) Harmful Algal Blooms (HAB) has increased in the coasts of the Ligurian Sea, causing problems to the marine environment and human health. Favourable conditions for O. ovata bloom are trigg
Externí odkaz:
https://doaj.org/article/d8e370ab6d194bebb74d113309a2baf1
Autor:
Gherardo Chirici, Francesca Giannetti, Ronald E. McRoberts, Davide Travaglini, Matteo Pecchi, Fabio Maselli, Marta Chiesi, Piermaria Corona
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 84, Iss , Pp 101959- (2020)
Spatial predictions of forest variables are required for supporting modern national and sub-national forest planning strategies, especially in the framework of a climate change scenario. Nowadays methods for constructing wall-to-wall maps and calcula
Externí odkaz:
https://doaj.org/article/b83072271b534f8fa9bf31f706b23f41