Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jinsongdi Yu"'
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Species distribution modeling is a widely used technique for estimating the potential habitats of target organisms based on their environmental preferences. These methods serve as valuable tools for resource managers and conservationists, and their u
Externí odkaz:
https://doaj.org/article/99c42166e822430c93d0472e087313b6
Autor:
Ruiju Tong, Andrew J. Davies, Chris Yesson, Jinsongdi Yu, Yuan Luo, Ling Zhang, Julian M. Burgos
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Species distribution models (SDMs) are useful tools for describing and predicting the distribution of marine species in data-limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, qu
Externí odkaz:
https://doaj.org/article/43703735b5714680aa3180a198d4c138
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
2021 28th International Conference on Geoinformatics.
Publikováno v:
EPIC3Continental Shelf Research, 116, pp. 13-26, ISSN: 02784343
An understanding of how terrain features influence abundance of a particular species greatly aids in the development of accurate predictive habitat suitability models. In this study, we investigated the observed seafloor coverage of cold-water coral
An image cube subscription service prototype based on 3D topological relationship and its case study
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 502:012019
The normalization, standardization and unification of GIS image cube services support the effective sharing of geographic information data, solve problems of incompatibility and non-uniformity of image cube data services, significantly improve the sh
Publikováno v:
2018 International Workshop on Big Geospatial Data and Data Science (BGDDS).
The explosion of available Remote Sensing data resources in a wide range of Earth Observation application domains is shifting the paradigm of Earth Data Science. To exploit and acquire further insights and knowledge, the development of standard-based
Autor:
Jinsongdi Yu
Publikováno v:
Computer Standards & Interfaces. 41:10-16
Big Data Era brings global digital infrastructure collaboration built on the emerging standards. Given the complexity and dynamics of each specification, corresponding implementations need to undergo sufficient verification and validation procedures.
Publikováno v:
Earth Science Informatics. 8:711-719
Ensuring long-term accessibility of Earth Science archive data is a recurrent issue for data centers. Heterogeneity of data adds particular challenges. The Data Virtualisation Toolkit (DVT) has been developed by the SCIDIP-ES project to support long-
Autor:
Fulvio Marelli, Jinsongdi Yu, Peter Baumann, Piero Campalani, David Giaretta, Mirko Albani, Shirley Crompton, Dimitar Misev
Publikováno v:
Computer Standards & Interfaces. 36:909-917
Without an approach accepted by the communities at large, domain disagreements will continue to thwart current global efforts to harmonize information models. The research presented here reviewed current standardization activities. A number of observ