Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rossella Vigna"'
Autor:
Olivier Terzo, Lorenzo Mossucca, Adriana Albanese, Piero Boccardo, Nishshanka Prasanna Premachandra, Rossella Vigna
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 10, Iss 5, Pp 45-49 (2012)
This paper describes a new approach for intensive rainfall data analysis. ITHACA's Extreme Rainfall Detection System (ERDS) is conceived to provide near real-time alerts related to potential exceptional rainfalls worldwide, which can be used by WFP o
Externí odkaz:
https://doaj.org/article/5e10913b9730461a928ea164d53db37a
Publikováno v:
Italian Journal of Remote Sensing. :181-195
The non-profit association ITHACA cooperates with the World Food Programme in order to define a global drought Early Warning System, mostly based on satellite data, with the scope of mapping critical areas that may be potentially subject to food cris
Publikováno v:
Engineering Geology for Society and Territory-Volume 2 ISBN: 9783319090566
The Project aims at connecting Rangpo town (Sikkim State) with the existing Sivok Railway Station on N.F. Railway with a Broad Gauge Single Line in West Bengal State. This alignment will cross an area with steep hills, dense forests in the District o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a19db9c2579b99138cb98bfe34b88aa7
https://doi.org/10.1007/978-3-319-09057-3_171
https://doi.org/10.1007/978-3-319-09057-3_171
Publikováno v:
CISIS
Distributed architecture is a fundamental way for science and engineering data application by aggregate power of computing resources connected by networks of the grid. This paper describes a innovative scenarios for intensive rainfall data analysis.
Autor:
Olivier Terzo, Adriana Albanese, Fabio Giorgi, Piero Boccardo, Nishshanka Prasanna Premachandra, Rossella Vigna
Publikováno v:
Advances in Earth Observation of Global Change ISBN: 9789048190843
Nowadays real time flood forecasting is becoming an important issue as climate changes make quite inefficient those traditional flood forecasting methods based only on historical data. Furthermore, real time flood forecasting systems are often limite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc503ea69f95439b0728ddfde87c5130
https://doi.org/10.1007/978-90-481-9085-0_16
https://doi.org/10.1007/978-90-481-9085-0_16