Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Sita Karki"'
Autor:
Sita Karki, Ricardo Bermejo, Robert Wilkes, Michéal Mac Monagail, Eve Daly, Mark Healy, Jenny Hanafin, Alastair McKinstry, Per-Erik Mellander, Owen Fenton, Liam Morrison
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Opportunistic macroalgal blooms have been used for the assessment of the ecological status of coastal and estuarine areas in Europe. The use of earth observation (EO) data sets to map green algal cover based on a Normalized Difference Vegetation Inde
Externí odkaz:
https://doaj.org/article/4af1f2c83c91475587ea9c1a81766992
Autor:
Fahad Alshehri, Mohamed Sultan, Sita Karki, Essam Alwagdani, Saleh Alsefry, Hassan Alharbi, Hossein Sahour, Neil Sturchio
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1361 (2020)
Identifying shallow (near-surface) groundwater in arid and hyper-arid areas has significant societal benefits, yet it is a costly operation when traditional methods (geophysics and drilling) are applied over large domains. In this study, we developed
Externí odkaz:
https://doaj.org/article/93b8730489b3456a9b8f53f8452dde54
Autor:
Hossein Sahour, Mohamed Sultan, Mehdi Vazifedan, Karem Abdelmohsen, Sita Karki, John A. Yellich, Esayas Gebremichael, Fahad Alshehri, Tamer M. Elbayoumi
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 533 (2020)
The Gravity Recovery and Climate Experiment (GRACE) has been successfully used to monitor variations in terrestrial water storage (GRACETWS) and groundwater storage (GRACEGWS) across the globe, yet such applications are hindered on local scales by th
Externí odkaz:
https://doaj.org/article/b85c7461642e468cb6bb80cd5c18d002
Publikováno v:
Remote Sensing, Vol 10, Iss 10, p 1656 (2018)
Over the past two decades, persistent occurrences of harmful algal blooms (HAB; Karenia brevis) have been reported in Charlotte County, southwestern Florida. We developed data-driven models that rely on spatiotemporal remote sensing and field data to
Externí odkaz:
https://doaj.org/article/45cfd3e9b9d34bdc9e7f0cd013d01b66
Autor:
Binita Ranamagar, Sita Karki
Publikováno v:
Journal of Nepal Paediatric Society. 41:432-438
Introduction: Disease and hospitalization can be the first crisis which a child encounters. It can cause acute anxiety to them which may sequel their uncooperative behavior to the treatment procedures. Furthermore, high level of anxiety if persisted
Autor:
Sita Karki, Kevin French, Valerie McCarthy, Conor Delaney, Jennifer Hanafin, Eleanor Jennings, Alastair McKinstry, Aaron Golden
Publikováno v:
Instrumentation and Measurement Technologies for Water Cycle Management ISBN: 9783031082610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9573b2e81985949b10811177a0217e
https://doi.org/10.1007/978-3-031-08262-7_2
https://doi.org/10.1007/978-3-031-08262-7_2
Autor:
Hassan Al-Harbi, Mustafa Kemal Emil, Emad Abu Alfadail, Sita Karki, Racha Elkadiri, Saleh Alsefry, Mohamed Sultan
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 1235-1249 (2019)
Construction of intensity–duration (ID) thresholds and early-warning and nowcasting systems for landslides (EWNSLs) are hampered by the paucity of temporal and spatial archival data. This work represents significant steps towards the development of
Autor:
Essam Alwagdani, Saleh Alsefry, Mohamed Sultan, Hossein Sahour, Sita Karki, Hassan Al-Harbi, Fahad Alshehri, Neil C. Sturchio
Publikováno v:
Remote Sensing, Vol 12, Iss 1361, p 1361 (2020)
Remote Sensing; Volume 12; Issue 9; Pages: 1361
Remote Sensing; Volume 12; Issue 9; Pages: 1361
Identifying shallow (near-surface) groundwater in arid and hyper-arid areas has significant societal benefits, yet it is a costly operation when traditional methods (geophysics and drilling) are applied over large domains. In this study, we developed
Autor:
Sita Karki, Kevin French, Valerie McCarthy, Jennifer Hanafin, Eleanor Jennings, Conor Delaney, Vicky Veerkamp, Aaron Golden, Alastair McKinstry, Moataz Ahmed
Through Remote Sensing of Irish Surface Water (INFER) project, we are validating the algorithms to measure the water quality using Sentinel 2 imagery, which comprises of two European Space Agency (ESA) terrestrial satellites with combined temporal re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d3270bc232aa93df945bf1dba10899a
https://doi.org/10.5194/egusphere-egu2020-2223
https://doi.org/10.5194/egusphere-egu2020-2223