Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Baoxuan Jin"'
Publikováno v:
IEEE Access, Vol 8, Pp 185981-185991 (2020)
Given the explosive growth of geospatial data, parallel computing technologies have become widely used in the spatial analysis of these massive types of data. The data used in geographic computing often exhibit a complex graphic structure, which is a
Externí odkaz:
https://doaj.org/article/6b5166b42c3b4dbba403d5ed31ab0380
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1869 (2023)
Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques analyze a study area using a set of SAR image data composed of time series, reaching millimeter surface subsidence accuracy. To effectively acquire the subsidence informati
Externí odkaz:
https://doaj.org/article/4855c333ebae4e4189734fe085de20de
Publikováno v:
PeerJ, Vol 7, p e7283 (2019)
The spatial-temporal evolution of land use and land cover (LULC) and its multi-scale impact on the water environment is becoming highly significant in the LULC research field. The current research results show that the more significant scale impact o
Externí odkaz:
https://doaj.org/article/2d94c6f0c6a243ddb90d9e2180427ab0
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 7, p 290 (2019)
Overlay analysis is a common task in geographic computing that is widely used in geographic information systems, computer graphics, and computer science. With the breakthroughs in Earth observation technologies, particularly the emergence of high-res
Externí odkaz:
https://doaj.org/article/f266d12e695840c18b73623c39eedede
Autor:
Zhipeng Gui, Manzhu Yu, Chaowei Yang, Yunfeng Jiang, Songqing Chen, Jizhe Xia, Qunying Huang, Kai Liu, Zhenlong Li, Mohammed Anowarul Hassan, Baoxuan Jin
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0152250 (2016)
Dust storm has serious disastrous impacts on environment, human health, and assets. The developments and applications of dust storm models have contributed significantly to better understand and predict the distribution, intensity and structure of du
Externí odkaz:
https://doaj.org/article/3e7c013b32ab49eeb21d78021496062a
Publikováno v:
IEEE Access, Vol 8, Pp 185981-185991 (2020)
Given the explosive growth of geospatial data, parallel computing technologies have become widely used in the spatial analysis of these massive types of data. The data used in geographic computing often exhibit a complex graphic structure, which is a
Autor:
Lele Sun, Baoxuan Jin
Publikováno v:
Sustainability
Volume 15
Issue 3
Pages: 2442
Volume 15
Issue 3
Pages: 2442
Geospatial databases are basic tools to collect, index, and manage georeferenced data indicators in sustainability research for efficient, long-term analysis. NoSQL databases are increasingly applied to manage the ever-growing massive spatial vector
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0116781 (2015)
Geoscience observations and model simulations are generating vast amounts of multi-dimensional data. Effectively analyzing these data are essential for geoscience studies. However, the tasks are challenging for geoscientists because processing the ma
Externí odkaz:
https://doaj.org/article/04ce3886f6ec4cefa1bbddc6e17ee696
Publikováno v:
Journal of the Indian Society of Remote Sensing. 47:951-965
Land-use information provides a direct representation of the effect of human activities on the environment, and an accurate and efficient land-use classification of remote sensing images is an important element of land-use and land-cover change resea
Autor:
Zhipeng Gui, Chaowei Yang, Jizhe Xia, Qunying Huang, Kai Liu, Zhenlong Li, Manzhu Yu, Min Sun, Nanyin Zhou, Baoxuan Jin
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e105297 (2014)
Cloud computing is becoming the new generation computing infrastructure, and many cloud vendors provide different types of cloud services. How to choose the best cloud services for specific applications is very challenging. Addressing this challenge
Externí odkaz:
https://doaj.org/article/eea63ba47ef54bdcbe5f0caa5a9d01c2