Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Lilu Zhu"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 1, p 28 (2024)
The integration of geospatial-analysis models is crucial for simulating complex geographic processes and phenomena. However, compared to non-geospatial models and traditional geospatial models, geospatial-analysis models face more challenges owing to
Externí odkaz:
https://doaj.org/article/e4a9a10f84134f3686faee5ed9fb8f47
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2564 (2023)
With the development and popularization of remote sensing earth observation technology and the remote sensing satellite system, the problems of insufficient proactiveness, relevance and timeliness of large-scale remote sensing supporting services are
Externí odkaz:
https://doaj.org/article/bcdefcef32ba4ac4b724c0b51d538040
Publikováno v:
IEEE Access, Vol 9, Pp 81236-81252 (2021)
With the rapid development of cloud computing and container technology, more and more applications are deployed to the cloud, and the scale of cloud platform is expanding. Due to the large number of container instances running in the platform, comple
Externí odkaz:
https://doaj.org/article/2a5fa7fbe8b34576aa211a45c2d861dc
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2333 (2021)
It is extremely important to extract valuable information and achieve efficient integration of remote sensing data. The multi-source and heterogeneous nature of remote sensing data leads to the increasing complexity of these relationships, and means
Externí odkaz:
https://doaj.org/article/bca588beb14c4f86b5808db9fc0cff0b
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1314 (2021)
With continuous improvement of earth observation technology, source, and volume of remote sensing data are gradually enriched. It is critical to realize unified organization and to form data sharing service capabilities for massive remote sensing dat
Externí odkaz:
https://doaj.org/article/90117694d3414773b3030519000f6158
Publikováno v:
Neural Computing and Applications. 35:9687-9710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b5a7f8cc3bbcd2ee377f0bc6a6db67c
https://doi.org/10.1007/s00521-023-08208-6
https://doi.org/10.1007/s00521-023-08208-6
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811982019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ae430445f6f9770d5f9e072a4c1abaa
https://doi.org/10.1007/978-981-19-8202-6_33
https://doi.org/10.1007/978-981-19-8202-6_33
Publikováno v:
Applied Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f4f6acffd23b8d3a3983c65fc3c4df3
https://doi.org/10.1007/s10489-022-04164-1
https://doi.org/10.1007/s10489-022-04164-1
Publikováno v:
Environmental Earth Sciences. 73:1083-1090
The spatial distribution of total concentrations and the chemical speciation of heavy metals (Cu, Zn, Pb and Hg) in saline–sodic soil at different periods of time since reclamation (rain-fed arable land converted into paddy field) were investigated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6728ebbdbdd316565904013763062f5
https://doi.org/10.1007/s12665-014-3464-6
https://doi.org/10.1007/s12665-014-3464-6
Publikováno v:
Human and Ecological Risk Assessment: An International Journal. 20:137-149
In the present study, lead, zinc, and copper concentrations in scalp hair of 120 residents in a long-term irrigation area in downstream of the Second Songhua River were determined. The correlation between metals in hair and the subject descriptors (i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae1b0fe82dc63bd333601611690d885e
https://doi.org/10.1080/10807039.2012.740655
https://doi.org/10.1080/10807039.2012.740655