Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Likai Zhu"'
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Aquatic biodiversity monitoring relies on species recognition from images. While deep learning (DL) streamlines the recognition process, the performance of these method is closely linked to the large-scale labeled datasets, necessitating manual proce
Externí odkaz:
https://doaj.org/article/bf4d4ac00e684e5ba8c323ab3bb4ee4d
Publikováno v:
Meikuang Anquan, Vol 54, Iss 12, Pp 11-17 (2023)
In order to optimize the current prediction method of coalbed methane production and solve the problem of losing key information due to the influence of historical state of coalbed methane production data and too long sequence, a coalbed methane prod
Externí odkaz:
https://doaj.org/article/ac48226eb0904771b748b17cbea2245b
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
The southern coast of the Laizhou Bay is considered as one of important areas for the origin and development of sea salt production in Eastern China. Archaeologists have collected rich materials to better understand history of salt production in the
Externí odkaz:
https://doaj.org/article/90d234b3bd56496dbf3b327e25ad1545
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101660- (2022)
Large sets of autocorrelated data are common in fields such as remote sensing and genomics. For example, remote sensing can produce maps of information for millions of pixels, and the information from nearby pixels will likely be spatially autocorrel
Externí odkaz:
https://doaj.org/article/f7e9a6a2d38240158d74125eddd63bfb
Autor:
Likai Zhu, Yuanyuan Guo
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 794 (2022)
Climate change is transforming winter environmental conditions rapidly. Shifts in snow regimes and freeze/thaw cycles that are unique to the harsh winter season can strongly influence ecological processes and biodiversity patterns of mammals and bird
Externí odkaz:
https://doaj.org/article/7060cc9ede0c48ee863667226696b886
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4026 (2020)
With rapid urbanization, retrieving livability information of human settlements in time is essential for urban planning and governance. However, livability assessments are often limited by data availability and data update cycle, and this problem is
Externí odkaz:
https://doaj.org/article/b043a79c8aaf4a6688f286938157ca04
Autor:
Jane Southworth, Erin Bunting, Likai Zhu, Sadie J Ryan, Hannah V Herrero, Peter Waylen, Rafael Muñoz-Carpena, Miguel A Campo-Bescós, David Kaplan
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0208400 (2018)
Understanding the drivers of large-scale vegetation change is critical to managing landscapes and key to predicting how projected climate and land use changes will affect regional vegetation patterns. This study aimed to improve our understanding of
Externí odkaz:
https://doaj.org/article/90060ea357204e648792b88ab32ce654
Autor:
Miguel A. Campo-Bescós, Rafael Muñoz-Carpena, Jane Southworth, Likai Zhu, Peter R. Waylen, Erin Bunting
Publikováno v:
Remote Sensing, Vol 5, Iss 12, Pp 6513-6538 (2013)
Deconstructing the drivers of large-scale vegetation change is critical to predicting and managing projected climate and land use changes that will affect regional vegetation cover in degraded or threated ecosystems. We investigate the shared dynamic
Externí odkaz:
https://doaj.org/article/205e9bc29d6442569effed23e9af0105
Autor:
Jane Southworth, Lesley Rigg, Cerian Gibbes, Peter Waylen, Likai Zhu, Shannon McCarragher, Lin Cassidy
Publikováno v:
Land, Vol 2, Iss 4, Pp 637-655 (2013)
This research examines the integration and potential uses of linkages between climate dynamics, savanna vegetation and landscape level processes within a highly vulnerable region, both in terms of climate variability and social systems. We explore th
Externí odkaz:
https://doaj.org/article/92ff280987454969bcf31887de4d82f2
Autor:
Jane Southworth, Likai Zhu
Publikováno v:
Remote Sensing, Vol 5, Iss 8, Pp 3803-3825 (2013)
To obtain a better understanding of the variability in net primary production (NPP) in savannas is important for the study of the global carbon cycle and the management of this particular ecosystem. Using satellite and precipitation data sets, we inv
Externí odkaz:
https://doaj.org/article/111c0472586743c7a4aea472a771d8dd