Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Leonardo, Disperati"'
Autor:
Lorenzo Marzini, Enrico D’Addario, Michele Pio Papasidero, Francesco Chianucci, Leonardo Disperati
Publikováno v:
Geosciences, Vol 13, Iss 11, p 326 (2023)
In this work, we evaluated the influence of root structure on shallow landslide distribution. Root density measurements were acquired in the field and the corresponding root cohesion was estimated. Data were acquired from 150 hillslope deposit trench
Externí odkaz:
https://doaj.org/article/e271854767bd4a24953c2944117b2511
Publikováno v:
Geosciences, Vol 13, Iss 10, p 299 (2023)
Variability in lithology and weathering degree affects physical and mechanical properties of rocks. In this study, we investigated the relationships between weathering degree and engineering geological properties of trachydacitic volcanic rocks from
Externí odkaz:
https://doaj.org/article/081f7ddffdc14211a88f48df4d71645e
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 724 (2023)
This paper presents the MINDED-FBA, a remote-sensing-based tool for the determination of both flooded and burned areas. The tool, freely distributed as a QGIS plugin, consists of an adaptation and development of the previously published Multi Index I
Externí odkaz:
https://doaj.org/article/4c05894e28da42058fc22042a2d2a23c
Publikováno v:
Geosciences, Vol 12, Iss 10, p 385 (2022)
On 27–28 July 2019, in a catchment of the Mt. Amiata area (Italy), an extreme rainfall induced a debris flow, which caused a channeled erosive process just upstream of the Abbadia San Salvatore village, the obstruction of a culvert at the entrance
Externí odkaz:
https://doaj.org/article/4fe235c6d1ae4fedb2860cc3190534b8
Autor:
Luca Cenci, Leonardo Disperati, Maria Giuseppina Persichillo, Eduardo R Oliveira, Fátima L Alves, Michael Phillips
Publikováno v:
GIScience & Remote Sensing, Vol 55, Iss 3, Pp 355-375 (2018)
The precise delineation of coastal areas subject to past, present, and future erosive processes plays a fundamental role in coastal risk management. Within this framework, satellite data represent a valuable synoptic and multi-temporal information so
Externí odkaz:
https://doaj.org/article/4eec6c23dc8245ab985ea298d5f39011
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5164 (2021)
This work presents a change detection method (MINDED-BA) for determining burned extents from multispectral remote sensing imagery. It consists of a development of a previous model (MINDED), originally created to estimate flood extents, combining a mu
Externí odkaz:
https://doaj.org/article/0ad903c119d14fddb19d0a599a397b4c
Autor:
Lorenzo Marzini, Daniele Ciofini, Juri Agresti, Leonardo Ciaccheri, Enrico D’Addario, Leonardo Disperati, Salvatore Siano, Iacopo Osticioli
Publikováno v:
Forests; Volume 14; Issue 4; Pages: 825
In the present work, Raman, Fourier Transform Infrared (FTIR) and elemental Laser-Induced Breakdown Spectroscopy (LIBS) spectroscopic techniques were used for the assessment of the influence of plant root composition towards shallow landslide occurre
Publikováno v:
Geosciences; Volume 12; Issue 10; Pages: 385
On 27–28 July 2019, in a catchment of the Mt. Amiata area (Italy), an extreme rainfall induced a debris flow, which caused a channeled erosive process just upstream of the Abbadia San Salvatore village, the obstruction of a culvert at the entrance
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1305 (2019)
Satellite remote sensing data are often used to extract water surfaces related to extreme events like floods. This study presents the Multi INDEx Differencing (MINDED) method, an innovative procedure to estimate flood extents, aiming at improving the
Externí odkaz:
https://doaj.org/article/6b7032395f934eddad1c02b5cfcae8a5
Autor:
Enrico D'Addario, Taraka Venkatadripathi Pattela, Lorenzo Marzini, Gianni Lombardi, Michele Amaddii, Leonardo Disperati
The Monte Amiata is a volcano located in central Italy composed by trachytic to olivine latitic lava flows and domes emplaced between 305 and 231 ka (Pleistocene). These volcanic products, affected by saprolite alteration processes of spatially varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c019da1b280961a7eb26b16a01844a02
https://doi.org/10.5194/icg2022-611
https://doi.org/10.5194/icg2022-611