Zobrazeno 1 - 10
of 16
pro vyhledávání: '"gridded population distribution"'
Publikováno v:
IEEE Access, Vol 7, Pp 149132-149141 (2019)
Understanding human population distribution on the earth at fine scales is an increasingly need to a broad range of geoscience fields, including resource allocation, transport and city planning, infectious disease assessment, disaster risk response,
Externí odkaz:
https://doaj.org/article/c9b5d4223d794126b19c3c0afaa9b21c
Autor:
Daniela Palacios-Lopez, Felix Bachofer, Thomas Esch, Mattia Marconcini, Kytt MacManus, Alessandro Sorichetta, Julian Zeidler, Stefan Dech, Andrew J. Tatem, Peter Reinartz
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1142 (2021)
The field of human population mapping is constantly evolving, leveraging the increasing availability of high-resolution satellite imagery and the advancements in the field of machine learning. In recent years, the emergence of global built-area datas
Externí odkaz:
https://doaj.org/article/7e5fc8fcf0664b2daa0affe78c08927d
Autor:
Fennis J. Reed, Andrea E. Gaughan, Forrest R. Stevens, Greg Yetman, Alessandro Sorichetta, Andrew J. Tatem
Publikováno v:
Data, Vol 3, Iss 3, p 33 (2018)
The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded popu
Externí odkaz:
https://doaj.org/article/796d0e0b5a7545a98047863348abd55b
Autor:
Palacios-Lopez, Daniela, Bachofer, Felix, Esch, Thomas, Marconcini, Mattia, MacManus, Kytt, Sorichetta, Alessandro, Zeidler, Julian, Dech, Stefan, Tatem, Andrew J., Reinartz, Peter
Publikováno v:
Remote Sensing, Vol 13, Iss 1142, p 1142 (2021)
The field of human population mapping is constantly evolving, leveraging the increasing availability of high-resolution satellite imagery and the advancements in the field of machine learning. In recent years, the emergence of global built-area datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::de520e3bc94b1c37121e132c7eba9ad7
https://elib.dlr.de/141540/
https://elib.dlr.de/141540/
Autor:
Reinartz, Daniela Palacios-Lopez, Felix Bachofer, Thomas Esch, Mattia Marconcini, Kytt MacManus, Alessandro Sorichetta, Julian Zeidler, Stefan Dech, Andrew J. Tatem, Peter
Publikováno v:
Remote Sensing; Volume 13; Issue 6; Pages: 1142
The field of human population mapping is constantly evolving, leveraging the increasing availability of high-resolution satellite imagery and the advancements in the field of machine learning. In recent years, the emergence of global built-area datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::5164ff9253d68dd81a1caa119d0d38d7
Publikováno v:
IEEE Access, Vol 7, Pp 149132-149141 (2019)
Understanding human population distribution on the earth at fine scales is an increasingly need to a broad range of geoscience fields, including resource allocation, transport and city planning, infectious disease assessment, disaster risk response,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4bc142ada2c010a34a014de8eeaca94
https://ieeexplore.ieee.org/document/8863891/
https://ieeexplore.ieee.org/document/8863891/
Akademický článek
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Autor:
Andrea E. Gaughan, Fennis J. Reed, Andrew J. Tatem, Alessandro Sorichetta, Gregory Yetman, Forrest R. Stevens
Publikováno v:
Data, Vol 3, Iss 3, p 33 (2018)
Data
Data
The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233a6e5122335d191f97eeca42587d42
https://eprints.soton.ac.uk/430889/
https://eprints.soton.ac.uk/430889/
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.