Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ionuț Şandric"'
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
The current study assesses the performance of several machine learning (ML) and deep learning (DL) models for detecting and mapping floods using Sentinel-1 SAR imagery. Three distinct approaches were used: pixel classification, object-based image ana
Externí odkaz:
https://doaj.org/article/0af8f49c28bb44789498fcf00277d7a5
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2161 (2023)
This paper presents a methodology for evaluating the uncertainties caused by the misalignment between two digital elevation models in estimating landslide kinematics. The study focuses on the earthflow near the town of Chirlești, located in the Bend
Externí odkaz:
https://doaj.org/article/88de18f393b047d1bb5dbad57163ae43
Autor:
Nicolae Cruceru, Ionuț Cornel Mirea, Ionuț Şandric, Virgil Drăgușin, Silviu Covaliov, Laura Tîrlă
Publikováno v:
Géomorphologie : relief, processus, environnement. 27:221-229
The area around the town of Mangalia in Southern Dobrogea (Romania) hosts a unique karst landscape represented mostly by large collapse dolines. Around one of these collapse dolines, named Obanul Mare, there is a peculiar morphology of hillocks that
Earth Observation Applications to Landslide Mapping, Monitoring and Modelling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the applications of drone and satellite imagery for mapping landslides. Topic
Autor:
Ionuț Cornel Mirea, Vasile Ersek, Silviu Covaliov, T. Sava, Gabriela Sava, Virgil Drăgușin, John Hellstrom, Petra Bajo, Diana Hanganu, Nicolae Cruceru, Dirk L. Hoffmann, Ionuț Şandric, Laura Tîrlă
The Carpathian island-type glaciokarst has a great potential of preserving signals of past environments, archived in cave deposits like speleothems and clastic infills.Wepresent here the geomorphology and structural control of several relict alpine c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20854ecca262d1eb50f45f92948667d3
https://nrl.northumbria.ac.uk/id/eprint/41901/1/1-s2.0-S0169555X20300088-main.pdf
https://nrl.northumbria.ac.uk/id/eprint/41901/1/1-s2.0-S0169555X20300088-main.pdf
Autor:
Mihai Micu, Marta Jurchescu, Ionuț Şandric, Mihai Ciprian Mărgărint, Zenaida Chiţu, Dana Micu, Roxana Ciurean, Viorel Ilinca, Mirela Vasile
Publikováno v:
Springer Geography ISBN: 9783319325873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7233446fe99bf0d66b91c161b5c6850
https://doi.org/10.1007/978-3-319-32589-7_32
https://doi.org/10.1007/978-3-319-32589-7_32
Autor:
Dan Valentin Palcu, Irina Stanislavovna Patina, Ionuț Șandric, Sergei Lazarev, Iuliana Vasiliev, Marius Stoica, Wout Krijgsman
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract The largest megalake in the geological record formed in Eurasia during the late Miocene, when the epicontinental Paratethys Sea became tectonically-trapped and disconnected from the global ocean. The megalake was characterized by several epi
Externí odkaz:
https://doaj.org/article/f0c32ac49098446fbad763a2cd2bce9c
Publikováno v:
Atmosphere, Vol 12, Iss 7, p 817 (2021)
The interaction between precipitation and vegetation plays a significant role in the formation of runoff, and it is still a widely discussed issue in hydrology. The difficulty lies in estimating the degree to which a forest influences runoff generati
Externí odkaz:
https://doaj.org/article/36a32fd67e594a02bb94c063761bf717
Publikováno v:
Remote Sensing, Vol 12, Iss 19, p 3192 (2020)
Earth Observation (EO) makes it possible to obtain information on key parameters characterizing interactions among Earth’s system components, such as evaporative fraction (EF) and surface soil moisture (SSM). Notably, techniques utilizing EO data o
Externí odkaz:
https://doaj.org/article/28d541d95746484ca28cbc075a30aa43
Autor:
Alin-Ionuț Pleșoianu, Mihai-Sorin Stupariu, Ionuț Șandric, Ileana Pătru-Stupariu, Lucian Drăguț
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2426 (2020)
Traditional methods for individual tree-crown (ITC) detection (image classification, segmentation, template matching, etc.) applied to very high-resolution remote sensing imagery have been shown to struggle in disparate landscape types or image resol
Externí odkaz:
https://doaj.org/article/495a5656ef50420d820dbad83e82db28