影响因子:
2.3
ISSN:
print: 1866-9298
on-line: 1866-928X
研究领域:
REMOTE SENSING-
自引率:
3.70%
Gold OA文章占比:
18.38%
原创研究文献占比:
96.88%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)
期刊介绍英文:
Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
CiteScore:
CiteScoreSJRSNIPCiteScore排名
5.40.5360.871
学科
排名
百分位
大类:Earth and Planetary Sciences
小类:Earth and Planetary Sciences (miscellaneous)
27 / 159
83%
大类:Social Sciences
小类:Geography, Planning and Development
140 / 821
83%
大类:Engineering
小类:Engineering (miscellaneous)
43 / 204
79%
大类:Environmental Science
小类:Environmental Science (miscellaneous)
53 / 219
76%
发文信息
WOS期刊分区
学科分类
Q2REMOTE SENSING
历年影响因子
2022年2.7000
2023年2.3000
历年发表
2012年25
2013年24
2014年30
2015年15
2016年14
2017年21
2018年49
2019年43
2020年53
2021年61
2022年61
投稿信息
出版周期:
4 issues per year
出版国家(地区):
Germany
初审时长:
22 days
出版商:
Springer Nature

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Flood susceptibility mapping using machine learning and remote sensing data in the Southern Karun Basin, Iran

Pub Date : 2024-07-19 DOI: 10.1007/s12518-024-00582-7 Mohamad Kazemi, Fariborz Mohammadi, M. H. Nafooti, Keyvan Behvar, Narges Kariminejad
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