Zobrazeno 1 - 10
of 29 174
pro vyhledávání: '"Edward, T."'
Despite almost a century of anticipation, polar uniaxial nematics were only recently discovered and shown to adopt a chiral supramolecular structure. Monte Carlo molecular simulations of curve-shaped rods show the propensity of such shapes to polymor
Externí odkaz:
http://arxiv.org/abs/2408.13325
Autor:
Dong, Wenquan, Mitchard, Edward T. A., Chen, Yuwei, Chen, Man, Cao, Congfeng, Hu, Peilun, Xu, Cong, Hancock, Steven
Large-scale high spatial resolution aboveground biomass (AGB) maps play a crucial role in determining forest carbon stocks and how they are changing, which is instrumental in understanding the global carbon cycle, and implementing policy to mitigate
Externí odkaz:
http://arxiv.org/abs/2405.15438
ALMA (Atacama Large Millimetre/submillimetre Array) observations of the thermal emission from protoplanetary disc dust have revealed a wealth of substructures that could evidence embedded planets, but planet-driven spirals, one of the more compelling
Externí odkaz:
http://arxiv.org/abs/2404.18925
Autor:
Damalie, Francis J.M.K., Senaya, Charles M., Dassah, Edward T., Konney, Thomas O., Ameyaw, Emmanuel, Larsen-Reindorf, Roderick, Asubonteng, Gerald O.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Jun 01. 28(6), 117-125.
Externí odkaz:
https://www.jstor.org/stable/27315227
Autor:
Mitchard, Edward T. A., Carstairs, Harry, Cosenza, Riccardo, Saatchi, Sassan S., Funk, Jason, Quintano, Paula Nieto, Brade, Thom, McNicol, Iain M., Meir, Patrick, Collins, Murray B., Nowak, Eric
Independent retrospective analyses of the effectiveness of reducing deforestation and forest degradation (REDD) projects are vital to ensure climate change benefits are being delivered. A recent study in Science by West et al. (1) appeared therefore
Externí odkaz:
http://arxiv.org/abs/2312.06793
Autor:
Chen, Man, Dong, Wenquan, Yu, Hao, Woodhouse, Iain, Ryan, Casey M., Liu, Haoyu, Georgiou, Selena, Mitchard, Edward T. A.
The integration of multisource remote sensing data and deep learning models offers new possibilities for accurately mapping high spatial resolution forest height. We found that GEDI relative heights (RH) metrics exhibited strong correlation with the
Externí odkaz:
http://arxiv.org/abs/2311.11777
Accurate quantification of forest aboveground biomass (AGB) is critical for understanding carbon accounting in the context of climate change. In this study, we presented a novel attention-based deep learning approach for forest AGB estimation, primar
Externí odkaz:
http://arxiv.org/abs/2311.03067