Zobrazeno 1 - 10
of 30 775
pro vyhledávání: '"Z. Cai"'
Publikováno v:
Ocean Science, Vol 20, Pp 931-944 (2024)
Investigating water accumulation is essential for understanding estuarine mass distribution and ecosystem management. In this study, we examined the water accumulation dynamics in the Pearl River estuary (PRE) from a Lagrangian perspective. Generally
Externí odkaz:
https://doaj.org/article/98e8d6bea6954939b55e1c33a37c2204
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W10-2024, Pp 37-43 (2024)
In the current era of urban construction, smart city management, and digital twinning, three-dimensional reconstruction of urban buildings is particularly important. Traditional methods have limitations in reconstructing complex geometric scenes, whi
Externí odkaz:
https://doaj.org/article/541b2c2a40424a83833d5c6cec31f3b5
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W10-2024, Pp 191-197 (2024)
Panoramic images, prized for their capacity to capture a comprehensive 360-degree field of view, find extensive applications across various domains. However, the challenge arises when attempting to seamlessly stitch together images captured by multip
Externí odkaz:
https://doaj.org/article/d46944b3581b4309ad719a6501414bd2
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract We propose a quantum processor architecture, the qubit ‘pipeline’, in which run-time scales additively as functions of circuit depth and run repetitions. Run-time control is applied globally, reducing the complexity of control and interc
Externí odkaz:
https://doaj.org/article/f99e3faf42784d47868639307cc69c1d
Autor:
L. Kooistra, K. Berger, B. Brede, L. V. Graf, H. Aasen, J.-L. Roujean, M. Machwitz, M. Schlerf, C. Atzberger, E. Prikaziuk, D. Ganeva, E. Tomelleri, H. Croft, P. Reyes Muñoz, V. Garcia Millan, R. Darvishzadeh, G. Koren, I. Herrmann, O. Rozenstein, S. Belda, M. Rautiainen, S. Rune Karlsen, C. Figueira Silva, S. Cerasoli, J. Pierre, E. Tanır Kayıkçı, A. Halabuk, E. Tunc Gormus, F. Fluit, Z. Cai, M. Kycko, T. Udelhoven, J. Verrelst
Publikováno v:
Biogeosciences, Vol 21, Pp 473-511 (2024)
Vegetation productivity is a critical indicator of global ecosystem health and is impacted by human activities and climate change. A wide range of optical sensing platforms, from ground-based to airborne and satellite, provide spatially continuous in
Externí odkaz:
https://doaj.org/article/08edba472f3f458dbcf0bd7402953206
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 239-244 (2023)
At present, China's urban and rural construction, national security, emergency and disaster relief have put forward higher and faster requirements for high-quality and current maps. How to use the latest spatial database in the shortest possible time
Externí odkaz:
https://doaj.org/article/d1e0823a8b8f4c7d96f90c8831bf683b
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 561-566 (2023)
Forest is an important component of ecosystem. To estimate forest above-ground biomass (AGB) accurately, this paper proposed an individual tree AGB estimation method based on fractal geometry and individual tree volume. In this study, fractal paramet
Externí odkaz:
https://doaj.org/article/e7d0449e44d54772b9aa7e40a1bdb658
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 5197-5217 (2023)
The lifetime of sulfur dioxide (SO2) in the Earth's atmosphere varies from orders of hours to weeks, mainly depending on whether cloud water is present or not. The volcanic eruption on Ambae Island, Vanuatu, in July 2018 injected a large amount of SO
Externí odkaz:
https://doaj.org/article/2bc42cc6684d4e67be04d47037e2e5d1
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 8, Pp 5218-5241 (2023)
ABSTRACT: Genotype data from dairy cattle selection programs have greatly facilitated GWAS to identify variants related to economic traits. Results can enhance the accuracy of genomic prediction, analyze more complex models that go beyond additive ef
Externí odkaz:
https://doaj.org/article/7355cb99e613435db070c70a7b68b1c3
Autor:
DESI Collaboration, A. G. Adame, J. Aguilar, S. Ahlen, S. Alam, G. Aldering, D. M. Alexander, R. Alfarsy, C. Allende Prieto, M. Alvarez, O. Alves, A. Anand, F. Andrade-Oliveira, E. Armengaud, J. Asorey, S. Avila, A. Aviles, S. Bailey, A. Balaguera-Antolínez, O. Ballester, C. Baltay, A. Bault, J. Bautista, J. Behera, S. F. Beltran, S. BenZvi, L. Beraldo e Silva, J. R. Bermejo-Climent, A. Berti, R. Besuner, F. Beutler, D. Bianchi, C. Blake, R. Blum, A. S. Bolton, S. Brieden, A. Brodzeller, D. Brooks, Z. Brown, E. Buckley-Geer, E. Burtin, L. Cabayol-Garcia, Z. Cai, R. Canning, L. Cardiel-Sas, A. Carnero Rosell, F. J. Castander, J. L. Cervantes-Cota, S. Chabanier, E. Chaussidon, J. Chaves-Montero, S. Chen, X. Chen, C. Chuang, T. Claybaugh, S. Cole, A. P. Cooper, A. Cuceu, T. M. Davis, K. Dawson, R. de Belsunce, R. de la Cruz, A. de la Macorra, J. Della Costa, A. de Mattia, R. Demina, U. Demirbozan, J. DeRose, A. Dey, B. Dey, G. Dhungana, J. Ding, Z. Ding, P. Doel, R. Doshi, K. Douglass, A. Edge, S. Eftekharzadeh, D. J. Eisenstein, A. Elliott, J. Ereza, S. Escoffier, P. Fagrelius, X. Fan, K. Fanning, V. A. Fawcett, S. Ferraro, B. Flaugher, A. Font-Ribera, J. E. Forero-Romero, D. Forero-Sánchez, C. S. Frenk, B. T. Gänsicke, L. Á. García, J. García-Bellido, C. Garcia-Quintero, L. H. Garrison, H. Gil-Marín, J. Golden-Marx, S. Gontcho A Gontcho, A. X. Gonzalez-Morales, V. Gonzalez-Perez, C. Gordon, O. Graur, D. Green, D. Gruen, J. Guy, B. Hadzhiyska, C. Hahn, J. J. Han, M. M. S Hanif, H. K. Herrera-Alcantar, K. Honscheid, J. Hou, C. Howlett, D. Huterer, V. Iršič, M. Ishak, A. Jacques, A. Jana, L. Jiang, J. Jimenez, Y. P. Jing, S. Joudaki, R. Joyce, E. Jullo, S. Juneau, N. G. Karaçaylı, T. Karim, R. Kehoe, S. Kent, A. Khederlarian, S. Kim, D. Kirkby, T. Kisner, F. Kitaura, N. Kizhuprakkat, J. Kneib, S. E. Koposov, A. Kovács, A. Kremin, A. Krolewski, B. L’Huillier, O. Lahav, A. Lambert, C. Lamman, T.-W. Lan, M. Landriau, D. Lang, J. U. Lange, J. Lasker, A. Leauthaud, L. Le Guillou, M. E. Levi, T. S. Li, E. Linder, A. Lyons, C. Magneville, M. Manera, C. J. Manser, D. Margala, P. Martini, P. McDonald, G. E. Medina, L. Medina-Varela, A. Meisner, J. Mena-Fernández, J. Meneses-Rizo, M. Mezcua, R. Miquel, P. Montero-Camacho, J. Moon, S. Moore, J. Moustakas, E. Mueller, J. Mundet, A. Muñoz-Gutiérrez, A. D. Myers, S. Nadathur, L. Napolitano, R. Neveux, J. A. Newman, J. Nie, R. Nikutta, G. Niz, P. Norberg, H. E. Noriega, E. Paillas, N. Palanque-Delabrouille, A. Palmese, Z. Pan, D. Parkinson, S. Penmetsa, W. J. Percival, A. Pérez-Fernández, I. Pérez-Ràfols, M. Pieri, C. Poppett, A. Porredon, S. Pothier, F. Prada, R. Pucha, A. Raichoor, C. Ramírez-Pérez, S. Ramirez-Solano, M. Rashkovetskyi, C. Ravoux, A. Rocher, C. Rockosi, A. J. Ross, G. Rossi, R. Ruggeri, V. Ruhlmann-Kleider, C. G. Sabiu, K. Said, A. Saintonge, L. Samushia, E. Sanchez, C. Saulder, E. Schaan, E. F. Schlafly, D. Schlegel, D. Scholte, M. Schubnell, H. Seo, A. Shafieloo, R. Sharples, W. Sheu, J. Silber, F. Sinigaglia, M. Siudek, Z. Slepian, A. Smith, M. T. Soumagnac, D. Sprayberry, L. Stephey, J. Suárez-Pérez, Z. Sun, T. Tan, G. Tarlé, R. Tojeiro, L. A. Ureña-López, R. Vaisakh, D. Valcin, F. Valdes, M. Valluri, M. Vargas-Magaña, A. Variu, L. Verde, M. Walther, B. Wang, M. S. Wang, B. A. Weaver, N. Weaverdyck, R. H. Wechsler, M. White, Y. Xie, J. Yang, C. Yèche, J. Yu, S. Yuan, H. Zhang, Z. Zhang, C. Zhao, Z. Zheng, R. Zhou, Z. Zhou, H. Zou, S. Zou, Y. Zu
Publikováno v:
The Astronomical Journal, Vol 168, Iss 2, p 58 (2024)
The Dark Energy Spectroscopic Instrument (DESI) completed its 5 month Survey Validation in 2021 May. Spectra of stellar and extragalactic targets from Survey Validation constitute the first major data sample from the DESI survey. This paper describes
Externí odkaz:
https://doaj.org/article/9f1923d1b3e944bb82a573ee41a99b28