Zobrazeno 1 - 10
of 209
pro vyhledávání: '"earth observation (EO)"'
Publikováno v:
Open Research Europe, Vol 4 (2024)
Background Earth Observation (EO) datasets have become vital for decision support applications, particularly from open satellite portals that provide extensive historical datasets. These datasets can be integrated with in-situ data to power artificia
Externí odkaz:
https://doaj.org/article/a1bf0ca43c5c4e72a2290889568498c1
Autor:
Qing Zhao, Antonio Pepe, Virginia Zamparelli, Pietro Mastro, Francesco Falabella, Saygin Abdikan, Caglar Bayik, Fusun Balik Sanli, Mustafa Ustuner, Nevin Betul Avşar, Jingjing Wang, Peng Chen, Zhengjie Li, Adam T. Devlin, Fabiana Calò
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 836-853 (2024)
Remote sensing (RS) technologies are extensively exploited by scientists and a vast audience of local authorities, urban managers, and city planners. Coastal regions, geohazard-prone areas, and highly populated cities represent natural laboratories t
Externí odkaz:
https://doaj.org/article/e5ce94392bc6412ebb2cc19b58c4027f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12477-12489 (2024)
Exploiting machine learning techniques to automatically classify multispectral remote sensing imagery plays a significant role in deriving changes on the Earth’s surface. However, the computation power required to manage large Earth observation dat
Externí odkaz:
https://doaj.org/article/6d1c83669ff54ad4a593a48073f9747a
Autor:
Bandana Kar, Guy J.-P. Schumann, Marina T. Mendoza, Doug Bausch, Jun Wang, Prativa Sharma, Margaret T. Glasscoe
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9641-9650 (2024)
Flooding is a frequent extreme weather event that causes significant financial and societal losses. According to the International Disaster Database (EM-DAT), during January through July 2023, 87 flooding events caused about 2000 deaths and ${\$}$13
Externí odkaz:
https://doaj.org/article/c3096da1f9da438aa9035bfc8fc82d8e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4986-5000 (2024)
Earth observation (EO) videos are undergoing rapid expansion due to the swift advancements in aerial, spaceborne, and ground remote sensing technologies enabling the continuous capture of imagery of the Earth's surface. Compared with traditional imag
Externí odkaz:
https://doaj.org/article/3fdd4365708a4f87b2e64ec264b0f67c
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-9 (2024)
This article examines the current status of quantum computing (QC) in Earth observation and satellite imagery. We analyze the potential limitations and applications of quantum learning models when dealing with satellite data, considering the persiste
Externí odkaz:
https://doaj.org/article/2925ac677de245b488ac4e7d0f8b520d
Publikováno v:
Hydrology, Vol 11, Iss 8, p 126 (2024)
This paper provides a comprehensive review of the available literature on the observation and characterization of river ice using remote sensing technologies. Through an analysis of 200 publications spanning from 1919 to June 2024, we reviewed differ
Externí odkaz:
https://doaj.org/article/f08adaac27344ea1b4bcfda6edd00885
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/df6a3f65fad94327ba985d17058fc5dd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8115-8124 (2023)
In recent years, the important evolution in the number, potentiality, and diversity of Earth observation (EO) satellites has resulted in dramatic increases in the payload data volume and rate. However, these exponential increases in the generated dat
Externí odkaz:
https://doaj.org/article/6da0447888ae4b2d9dc38a144d5319c5
Autor:
Giulio Weikmann, Daniele Marinelli, Claudia Paris, Silke Migdall, Eva Gleisberg, Florian Appel, Heike Bach, Jim Dowling, Lorenzo Bruzzone
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6758-6775 (2023)
This article presents a novel system that produces multiyear high-resolution irrigation water demand maps for agricultural areas, enabling a new level of detail for irrigation support for farmers and agricultural stakeholders. The system is based on
Externí odkaz:
https://doaj.org/article/d9077699dc5d4ff4b9129adee4622058