Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Ground truth data"'
Autor:
Sara Innangi, Luciana Ferraro, Michele Innangi, Gabriella Di Martino, Laura Giordano, Valentina Alice Bracchi, Renato Tonielli
Publikováno v:
Journal of Maps, Vol 20, Iss 1 (2024)
ABSTRACTThis publication presents a newly created map of the seafloor of Linosa, a volcanic island located in the Sicily Channel (Mediterranean Sea). The seafloor of Linosa was previously surveyed using geophysical and ground-truth data (in 2016 and
Externí odkaz:
https://doaj.org/article/ae7aefafb6084036b71797c969af7c6b
Publikováno v:
Plant Production Science, Vol 27, Iss 1, Pp 1-13 (2024)
ABSTRACTOne of the bottlenecks in the development of UAV-based crop growth estimation models has been the need for ground-truth data collection through plant sampling. Thus, we investigated the viability of utilizing datasets derived from reduced sam
Externí odkaz:
https://doaj.org/article/8616a55c08a64ff38a5346fcb1f602c3
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 17-35 (2022)
The Aral Sea, once the fourth largest freshwater lake on Earth, has lost circa 90% of its original water surface in 1960. Maps of different land cover categories provide a suitable baseline to plan and implement effective measures to combat ongoing d
Externí odkaz:
https://doaj.org/article/c3ef8198bf454c5b8c91feacdd9a25f6
Autor:
Shubhajit Basak, Faisal Khan, Hossein Javidnia, Peter Corcoran, Rachel McDonnell, Michael Schukat
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109087- (2023)
This article presents C3I-SynFace: a large-scale synthetic human face dataset with corresponding ground truth annotations of head pose and face depth generated using the iClone 7 Character Creator “Realistic Human 100” toolkit with variations in
Externí odkaz:
https://doaj.org/article/8244d545140c4e1a83fcbde3a3de08d2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Hannes Mollenhauer, Erik Borg, Bringfried Pflug, Bernd Fichtelmann, Thorsten Dahms, Sebastian Lorenz, Olaf Mollenhauer, Angela Lausch, Jan Bumberger, Peter Dietrich
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4663 (2023)
Satellite-based remote sensing (RS) data are increasingly used to map and monitor local, regional, and global environmental phenomena and processes. Although the availability of RS data has improved significantly, especially in recent years, operatio
Externí odkaz:
https://doaj.org/article/178bd9f1d3ce46e6b3a1c1d0ddef056b
Publikováno v:
Hydrology, Vol 10, Iss 7, p 146 (2023)
The practical utility of remote sensing techniques depends on their validation with ground-truth data. Validation requires similar spatial-temporal scales for ground measurements and remote sensing resolution. Evapotranspiration (ET) estimates are co
Externí odkaz:
https://doaj.org/article/ff16b00c1f234a8a876aba0be890d371
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2112 (2023)
Land subsidence in coastal and delta cities often results in infrastructure and residential building damages, while also increasing the area’s flooding vulnerability. The coastal cities of Messolonghi and Aitolikon are typical examples, as they are
Externí odkaz:
https://doaj.org/article/cc3592c156154a5c8a442d6096780371
Autor:
Ali M. Muslim, Syamsiah Mashohor, Gheyath Al Gawwam, Rozi Mahmud, Marsyita binti Hanafi, Osama Alnuaimi, Raad Josephine, Abdullah Dhaifallah Almutairi
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108139- (2022)
Magnetic resonance imaging (MRI) provides a significant key to diagnose and monitor the progression of multiple sclerosis (MS) disease. Manual MS-lesion segmentation, expanded disability status scale (EDSS) and patient's meta information can provide
Externí odkaz:
https://doaj.org/article/60abe8eeb61144d096fe94b9034919c0
Publikováno v:
Geo Data, Vol 2, Iss 2, Pp 1-4 (2020)
Soil moisture is an important data which can be used for crop growth estimation, drought prediction, irrigation, and development of hydrological model. However, it is difficult to obtain soil moisture data from inaccessible area or very large area us
Externí odkaz:
https://doaj.org/article/3899df5e28344cc78f48ca928090aeab