Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Daniela Stroppiana"'
Autor:
Rossana Caroni, Monica Pinardi, Gary Free, Daniela Stroppiana, Lorenzo Parigi, Giulio Tellina, Mariano Bresciani, Clément Albergel, Claudia Giardino
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2626 (2024)
A study was carried out to investigate the effects of wildfires on lake water quality using a source dataset of 2024 lakes worldwide, covering different lake types and ecological settings. Satellite-derived datasets (Lakes_cci and Fire_cci) were used
Externí odkaz:
https://doaj.org/article/641d60fe88db46aea67aed5b1a124b59
Autor:
Monica Pinardi, Daniela Stroppiana, Rossana Caroni, Lorenzo Parigi, Giulio Tellina, Gary Free, Claudia Giardino, Clément Albergel, Mariano Bresciani
Publikováno v:
Frontiers in Remote Sensing, Vol 4 (2023)
Lakes have been observed as sentinels of climate change. In the last decades, global warming and increasing aridity has led to an increase in both the number and severity of wildfires. This has a negative impact on lake catchments by reducing forest
Externí odkaz:
https://doaj.org/article/115ba0b90a374baa83249bb94cb43bbf
Autor:
Mariano Bresciani, Claudia Giardino, Daniela Stroppiana, Maria Antonietta Dessena, Paola Buscarinu, Loretta Cabras, Karin Schenk, Thomas Heege, Hendrik Bernet, Giorgos Bazdanis, Apostolos Tzimas
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 113-122 (2019)
Providing relatively fine spatial resolution multispectral data, Landsat-8, Landsat-7 (L8 and L7, respectively) and Sentinel-2 (S2) from 2013 to 2018 have been used in this study for enabling high-frequency monitoring of water quality of two small (t
Externí odkaz:
https://doaj.org/article/0bd6521035524afa93bcc29fc605a29f
Autor:
Alessia Goffi, Daniela Stroppiana, Pietro Alessandro Brivio, Gloria Bordogna, Mirco Boschetti
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 84, Iss , Pp 101951- (2020)
In this work we propose an approach for mapping flooded areas from Sentinel-2 MSI (Multispectral Instrument) data based on soft fuzzy integration of evidence scores derived from both band combinations (i.e. Spectral Indices - SIs) and components of t
Externí odkaz:
https://doaj.org/article/e973ebcb991048e7a83157a87965eb8b
Autor:
Daniela Stroppiana, Gloria Bordogna, Matteo Sali, Mirco Boschetti, Giovanna Sona, Pietro Alessandro Brivio
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 8, p 546 (2021)
The paper proposes a fully automatic algorithm approach to map burned areas from remote sensing characterized by human interpretable mapping criteria and explainable results. This approach is partially knowledge-driven and partially data-driven. It e
Externí odkaz:
https://doaj.org/article/4aa688a7c3e1463f8f5799b6fd609161
Autor:
Matteo Sali, Erika Piaser, Mirco Boschetti, Pietro Alessandro Brivio, Giovanna Sona, Gloria Bordogna, Daniela Stroppiana
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2214 (2021)
Sentinel-2 (S2) multi-spectral instrument (MSI) images are used in an automated approach built on fuzzy set theory and a region growing (RG) algorithm to identify areas affected by fires in Mediterranean regions. S2 spectral bands and their post- and
Externí odkaz:
https://doaj.org/article/f9957537c4034b0da013786fe5139876
Autor:
Alessia Goffi, Gloria Bordogna, Daniela Stroppiana, Mirco Boschetti, Pietro Alessandro Brivio
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 495 (2020)
The paper proposes a transparent approach for mapping the status of environmental phenomena from multisource information based on both soft computing and machine learning. It is transparent, intended as human understandable as far as the employed cri
Externí odkaz:
https://doaj.org/article/ca2ba0d1d31a4b4690f8d7a77a813ddc
Publikováno v:
Remote Sensing, Vol 7, Iss 10, Pp 12859-12886 (2015)
The work focuses on developing a classification tree approach for in-season crop mapping during early summer, by integrating optical (Landsat 8 OLI) and X-band SAR (COSMO-SkyMed) data acquired over a test site in Northern Italy. The approach is based
Externí odkaz:
https://doaj.org/article/82e41586f7144ad69dbf99b77366cda6
Autor:
Daniela Stroppiana, Ramin Azar, Fabiana Calò, Antonio Pepe, Pasquale Imperatore, Mirco Boschetti, João M. N. Silva, Pietro A. Brivio, Riccardo Lanari
Publikováno v:
Remote Sensing, Vol 7, Iss 2, Pp 1320-1345 (2015)
The aim of this paper is to investigate how optical and Synthetic Aperture Radar (SAR) data can be combined in an integrated multi-source framework to identify burned areas at the regional scale. The proposed approach is based on the use of fuzzy set
Externí odkaz:
https://doaj.org/article/9ca7b82a32944daaa645765b8da8625f
Autor:
Francesco Nutini, Daniela Stroppiana, Lorenzo Busetto, Dario Bellingeri, Chiara Corbari, Marco Mancini, Enrico Zini, Pietro Alessandro Brivio, Mirco Boschetti
Publikováno v:
Sensors, Vol 17, Iss 6, p 1338 (2017)
The triangle method has been applied to derive a weekly indicator of evaporative fraction on vegetated areas in a temperate region in Northern Italy. Daily MODIS Aqua Land Surface Temperature (MYD11A1) data has been combined with air temperature maps
Externí odkaz:
https://doaj.org/article/643d2cd41d2a4348b13950b401a7c640