Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Glenn Newnham"'
Autor:
Kim Calders, Benjamin Brede, Glenn Newnham, Darius Culvenor, John Armston, Harm Bartholomeus, Anne Griebel, Jodie Hayward, Samuli Junttila, Alvaro Lau, Shaun Levick, Rosalinda Morrone, Niall Origo, Marion Pfeifer, Jan Verbesselt, Martin Herold
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 5, Pp 587-598 (2023)
Abstract Climate change and increasing human activities are impacting ecosystems and their biodiversity. Quantitative measurements of essential biodiversity variables (EBV) and essential climate variables are used to monitor biodiversity and carbon d
Externí odkaz:
https://doaj.org/article/40748b96add84b63a604274f217bfd27
Publikováno v:
Remote Sensing, Vol 6, Iss 3, Pp 2601-2627 (2014)
The characterization of canopy structure is crucial for modeling eco-physiological processes. Two commonly used metrics for characterizing canopy structure are the gap fraction and the effective Plant Area Index (PAIe). Both have been successfully re
Externí odkaz:
https://doaj.org/article/06fc60ec5bd745de80b9ddd183ffcc74
Publikováno v:
International Journal of Digital Earth. 15:2061-2077
Autor:
Christopher Lyell, Petter Nyman, Thomas Duff, Glenn Newnham, Assaf Inbar, Patrick Lane, Tegan Brown, Gary Sheridan
In forest systems, direct shortwave radiation (SWR) plays a vital role in fundamental energy and water processes that require high-resolution modelling at the landscape scale. We propose an alternative approach to modelling high resolution, landscape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94bd10c4afaaa0bc408f877421770c50
https://doi.org/10.5194/egusphere-egu23-12588
https://doi.org/10.5194/egusphere-egu23-12588
Autor:
Hans Verbeeck, Glenn Newnham, Yadvinder Malhi, Louise Terryn, Mathias Disney, Niall Origo, Kim Calders, Markku Å kerblom, Pasi Raumonen
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 168:170-181
Fast and automated collection of forest data, such as species composition information, is required to support climate mitigation actions. Recently, there have been significant advances in the use of terrestrial laser scanning (TLS) instruments, which
Autor:
Anthony Power, William Swedosh, Chris Rucinski, Glenn Newnham, Justin Leonard, Raphaele Blanchi, James E. Hilton, Kimberley Opie
Publikováno v:
Mathematics and Computers in Simulation. 175:62-80
Accurate predictions for radiant heat flux are necessary for determining exposure levels to personnel and infrastructure in the event of wildfires. However, detailed physics-based calculations of radiant heat flux are complex and current modelling pr
Autor:
Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn Newnham, Stefan Hajkowicz, Cathy Robinson, David Hansen
Publikováno v:
IEEE Transactions on Technology and Society. :1-1
As consensus across the various published AI ethics principles is approached, a gap remains between high-level principles and practical techniques that can be readily adopted to design and develop responsible AI systems. We examine the practices and
Publikováno v:
Remote Sensing; Volume 14; Issue 1; Pages: 3
Remote Sensing, Vol 14, Iss 3, p 3 (2022)
Remote Sensing, Vol 14, Iss 3, p 3 (2022)
Over the last 18 years, Indonesia has experienced significant deforestation due to the expansion of oil palm and rubber plantations. Accurate land cover maps are essential for policymakers to track and manage land change to support sustainable forest
Autor:
Jacqueline R. England, Glenn Newnham, Sara Minelli, Alex Held, Carly Green, Sasha Alexander, Neil Sims
Publikováno v:
Environmental Science & Policy. 92:349-355
In recent decades there have been numerous global and regional targets and initiatives to halt and reverse land degradation. The land degradation neutrality (LDN) target, embedded in the United Nations Sustainable Development Goals (SDGs), provides a
Publikováno v:
Remote Sensing, Vol 13, Iss 1446, p 1446 (2021)
Remote Sensing; Volume 13; Issue 8; Pages: 1446
Remote Sensing; Volume 13; Issue 8; Pages: 1446
This study assessed the accuracy of land cover change (2000–2018) maps compiled from Landsat images with either automated digital processing or with visual interpretation for a tropical forest area in Indonesia. The accuracy assessment used a two-s