Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Richard J Murphy"'
Autor:
M Torre Jorgenson, Dana R N Brown, Chris A Hiemstra, Hélène Genet, Bruce G Marcot, Richard J Murphy, Thomas A Douglas
Publikováno v:
Environmental Research Letters, Vol 17, Iss 4, p 045016 (2022)
Alaska has diverse boreal ecosystems across heterogeneous landscapes driven by a wide range of biological and geomorphic processes associated with disturbance and successional patterns under a changing climate. To assess historical patterns and rates
Externí odkaz:
https://doaj.org/article/6cbe1390df714db88f06ccb6d360bcb8
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e73550 (2013)
Intertidal ecosystems have primarily been studied using field-based sampling; remote sensing offers the ability to collect data over large areas in a snapshot of time that could complement field-based sampling methods by extrapolating them into the w
Externí odkaz:
https://doaj.org/article/e7855cae95f14135ba1d41d0e3aaebce
Publikováno v:
Energies, Vol 15, Iss 23, p 9173 (2022)
Globally, rising population and rapid urbanisation have resulted in the dual issues of increased electricity demand and waste generation. These exacerbate diverse global problems, ranging from irregular electricity supply and inadequate waste managem
Externí odkaz:
https://doaj.org/article/6ea46a3e3feb4f3a8ebea3f92deeefcb
Autor:
Jody M. Webster, Belinda Dechnik, Kelsey Sanborn, Yusuke Yokoyama, Juan Carlos Braga, Willem Renema, Marc Humblet, Robin J. Beamani, Luke D. Nothdurft, Gregory E. Webb, Jian-Xin Zhao, Richard J. Murphy, Stephen J. Gallagher, Michael O'Leary, Victorien Paumard
Publikováno v:
Coral Reefs and Sea-Level Change: Quaternary Records and Modelling. :215-273
Understanding of global sea-level changes and coral reef development is poorly constrained during Marine Isotope Stage 3 (MIS 3; ~ 60 to 30 ka). Australia’s North West Shelf (NWS), at depths of ~ 50 to 120 m below present sea-level (mbsl), represen
Autor:
Kimball C. Chen, Matthew Leach, Mairi J. Black, Meron Tesfamichael, Francis Kemausuor, Patrick Littlewood, Terry Marker, Onesmus Mwabonje, Yacob Mulugetta, Richard J. Murphy, Rocio Diaz-Chavez, John Hauge, Derek Saleeby, Alex W. Evans, Elisa Puzzolo
Publikováno v:
Energies, Vol 14, Iss 13, p 3916 (2021)
Energy supply for clean cooking is a priority for Sub-Saharan Africa (SSA). Liquefied petroleum gas (LPG, i.e., propane or butane or a mixture of both) is an economically efficient, cooking energy solution used by over 2.5 billion people worldwide an
Externí odkaz:
https://doaj.org/article/e9c4a934130846ec8170564d5488397a
Autor:
Ana Andries, Stephen Morse, Richard J. Murphy, Jhuma Sadhukhan, Elias Martinez-Hernandez, Myriam A. Amezcua-Allieri, Jorge Aburto
Publikováno v:
Remote Sensing
Volume 15
Issue 5
Pages: 1209
Volume 15
Issue 5
Pages: 1209
Satellite-observed night-time light (NTL) data provide a measure of the lighting brightness seen from space at different times and spatial and temporal resolutions, thus offering opportunities to explore them in many applications at different spatial
Publikováno v:
Sustainability; Volume 14; Issue 20; Pages: 13293
Waste management and electricity supply have always been among the main challenges faced by developing countries. So far, the use of waste to energy (WtE) is one strategy that could simultaneously address these two challenges. However, the use of suc
Publikováno v:
Geoscience Frontiers. 14:101562
The remote mapping of minerals and discrimination of ore and waste on surfaces are important tasks for geological applications such as those in mining. Such tasks have become possible using ground-based, close-range hyperspectral sensors which can re
Publikováno v:
Remote Sensing, Vol 6, Iss 9, Pp 9104-9129 (2014)
Hyperspectral imagery of a vertical mine face acquired from a field-based platform is used to evaluate the effects of different conditions of illumination on absorption feature parameters wavelength position, depth and width. Imagery was acquired at
Externí odkaz:
https://doaj.org/article/e3f8c617e0d8484290be72832cb64772
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 864 (2019)
This paper proposes novel autoencoders for unsupervised feature-learning from hyperspectral data. Hyperspectral data typically have many dimensions and a significant amount of variability such that many data points are required to represent the distr
Externí odkaz:
https://doaj.org/article/40bf3b395f254cfc988122515a3da14d