Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Christopher Smal"'
Autor:
Denise B. O’Meara, Ciara Powell, Kate McAney, Christopher Smal, John Power, Declan T. O’Mahony, Joshua P. Twining, David G. Tosh, Peter D. Turner, Catherine O’Reilly
Publikováno v:
Biological Journal of the Linnean Society. 132:774-788
In this study, the history of the pine marten (Martes martes) in Ireland is reviewed, revealing that the population has undergone several retractions and expansions over the last few hundred years. Here, we consider the genetic legacy of this flux in
Autor:
Christopher Small, Daniel Sousa
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3768 (2024)
The standardized spectral mixture model combines the specificity of a physically based representation of a spectrally mixed pixel with the generality and portability of a spectral index. Earlier studies have used spectrally and geographically diverse
Externí odkaz:
https://doaj.org/article/ef192a6af51d4d22bddfaa1b48454936
Autor:
Shanley F. Longfield, Mahdie Mollazade, Tristan P. Wallis, Rachel S. Gormal, Merja Joensuu, Jesse R. Wark, Ashley J. van Waardenberg, Christopher Small, Mark E. Graham, Frédéric A. Meunier, Ramón Martínez-Mármol
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
Abstract Neuronal communication relies on the release of neurotransmitters from various populations of synaptic vesicles. Despite displaying vastly different release probabilities and mobilities, the reserve and recycling pool of vesicles co-exist wi
Externí odkaz:
https://doaj.org/article/dbd5f05e852046bd8c652292e771cdb7
Autor:
Christopher Small, Daniel Sousa
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2796 (2024)
Spaceborne spectroscopic imaging offers the potential to improve our understanding of biodiversity and ecosystem services, particularly for challenging and rich environments like mangroves. Understanding the signals present in large volumes of high-d
Externí odkaz:
https://doaj.org/article/0ac02f1feb864ed9a571c54b5f2560d9
Autor:
Christopher Small, Daniel Sousa
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 255 (2024)
Due to their transient nature, clouds represent anomalies relative to the underlying landscape of interest. Hence, the challenge of cloud identification can be considered a specific case in the more general problem of anomaly detection. The confoundi
Externí odkaz:
https://doaj.org/article/5b451428e6b24aec9674a200bed78e5d
Autor:
Daniel Sousa, Christopher Small
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2295 (2023)
NASA’s Earth Surface Mineral Dust Source Investigation (EMIT) mission seeks to use spaceborne imaging spectroscopy (hyperspectral imaging) to map the mineralogy of arid dust source regions. Here we apply recent developments in Joint Characterizatio
Externí odkaz:
https://doaj.org/article/7b2c4799332048c983649ad84cc5c290
Autor:
Christopher Small, Daniel Sousa
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-20 (2021)
Abstract The spatial distribution of population affects disease transmission, especially when shelter in place orders restrict mobility for a large fraction of the population. The spatial network structure of settlements therefore imposes a fundament
Externí odkaz:
https://doaj.org/article/372299a773ed45c2ad2f634130a17875
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2022)
In presenting an irrigation detection methodology that leverages multiscale satellite imagery of vegetation abundance, this paper introduces a process to supplement limited ground-collected labels and ensure classifier applicability in an area of int
Externí odkaz:
https://doaj.org/article/7c44cc0ad3d3460abf2f1ae7f0c40b12
Autor:
Daniel Sousa, Christopher Small
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2022)
Modeling spatiotemporal data can be a challenge due to the plethora of processes, both independent and interacting, which may or may not contribute to the measurements. Characterization can be considered a complement to modeling by helping guide assu
Externí odkaz:
https://doaj.org/article/beba1e0e946c47ee98cd0f89bfda0872
Autor:
Thomas Esch, Hubert Asamer, Felix Bachofer, Jakub Balhar, Martin Boettcher, Enguerran Boissier, Pablo d' Angelo, Caroline M. Gevaert, Andreas Hirner, Katerina Jupova, Franz Kurz, Andy Yaw Kwarteng, Emmanuel Mathot, Mattia Marconcini, Alessandro Marin, Annekatrin Metz-Marconcini, Fabrizio Pacini, Marc Paganini, Hans Permana, Tomas Soukup, Soner Uereyen, Christopher Small, Vaclav Svaton, Julian Nils Zeidler
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 1, Pp 136-157 (2020)
The digital transformation taking place in all areas of life has led to a massive increase in digital data – in particular, related to the places where and the ways how we live. To facilitate an exploration of the new opportunities arising from thi
Externí odkaz:
https://doaj.org/article/1d0d98e14b0c49adb0c09c4c595b0fe2