Zobrazeno 1 - 8
of 8
pro vyhledávání: '"N. A. S. Hamm"'
Autor:
N. A. S. Hamm
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 227-232 (2024)
Geospatial data is available at increasingly finer spatial resolutions. However, such data can also be problematic because it may result in increased financial, resource and time cost. It might also be unnecessary if the phenomenon of interest does n
Externí odkaz:
https://doaj.org/article/ba6d80aaaf804131b25b637bd124e7f0
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 83-101 (2018)
Parameters of a process-based forest growth simulator are difficult or impossible to obtain from field observations. Reliable estimates can be obtained using calibration against observations of output and state variables. In this study, we present
Externí odkaz:
https://doaj.org/article/c978e2e56dfb4bdf8d911256f609cdf4
Autor:
N. A. S. Hamm
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 1403-1406 (2016)
Epidemiological studies of the health effects of air pollution require estimation of individual exposure. It is not possible to obtain measurements at all relevant locations so it is necessary to predict at these space-time locations, either on the
Externí odkaz:
https://doaj.org/article/55fe22f50be04e16b78083ac5f115312
Publikováno v:
Biogeosciences, Vol 13, Iss 5, Pp 1409-1422 (2016)
Gross primary production (GPP) can be separated from flux tower measurements of net ecosystem exchange (NEE) of CO2. This is used increasingly to validate process-based simulators and remote-sensing-derived estimates of simulated GPP at various time
Externí odkaz:
https://doaj.org/article/dbb8e595ea804f11b5bcdeda15fe67a1
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1/W3, Pp 37-41 (2013)
Weather stations are often expensive hence it may be difficult to obtain data with a high spatial coverage. A low cost alternative is wireless sensor network (WSN), which can be deployed as weather stations and address the aforementioned shortcoming.
Externí odkaz:
https://doaj.org/article/ac203a79eafe4f14b7b49d4c1fa4bc94
Autor:
Gongbo, Chen, Shanshan, Li, Luke D, Knibbs, N A S, Hamm, Wei, Cao, Tiantian, Li, Jianping, Guo, Hongyan, Ren, Michael J, Abramson, Yuming, Guo
Publikováno v:
The Science of the total environment. 636
Machine learning algorithms have very high predictive ability. However, no study has used machine learning to estimate historical concentrations of PMTo estimate daily concentrations of PMDaily ground-level PMThe daily random forests model showed muc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::867ce605b91494a2fc6dc0de0d67bbac
https://pubmed.ncbi.nlm.nih.gov/29702402
https://pubmed.ncbi.nlm.nih.gov/29702402
Autor:
Gongbo, Chen, Luke D, Knibbs, Wenyi, Zhang, Shanshan, Li, Wei, Cao, Jianping, Guo, Hongyan, Ren, Boguang, Wang, Hao, Wang, Gail, Williams, N A S, Hamm, Yuming, Guo
Publikováno v:
Environmental pollution (Barking, Essex : 1987). 233
PMTo estimate spatial and temporal variations of PMTwo types of Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 aerosol optical depth (AOD) data, Dark Target (DT) and Deep Blue (DB), were combined. Generalised additive model (GAM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::93be1226161e412b2ddd0998dfc14bfd
https://pubmed.ncbi.nlm.nih.gov/29033176
https://pubmed.ncbi.nlm.nih.gov/29033176
