Remote Sensing Hazard Classification
Remote Sensing Hazard Classification is a scientific methodology that systematically categorizes natural or anthropogenic hazards by analyzing and interpreting remotely sensed data to identify, map, and assess spatial and temporal risk patterns.
20
Publications
1.3K
Citations
83
Authors
37
Institutions
Publications per year
2017–2026
12
Parents
20
1–5 of 20
83
2
h-index
2
h-index
1
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1
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Institute of Geographic Sciences and Natural Resources Research, China
1 publications · 16 citations
1
h-index
1–5 of 83
37

Kitami Institute of Technology
Kitami, Japan
2 h-index
4 publications
314 citations
Nagoya University
Nagoya, Japan
1 h-index
1 publications
61 citations

Shahid Rajaee Teacher Training University
Tehran, Iran
1 h-index
1 publications
59 citations

Yazd University
Yazd, Iran
1 h-index
7 publications
112 citations
University of Geneva
Geneva, Switzerland
1 h-index
2 publications
32 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
1 h-index
5 publications
80 citations
Mediterranean Center for Environmental Studies
Valencia, Spain
1 h-index
1 publications
566 citations
State University of New York
Albany, United States
1 h-index
2 publications
32 citations
1–8 of 37
6 publications · 139 citations
6
h-index
2 publications · 157 citations
2
h-index
SAJG · 1 publications · 12 citations
1
h-index
1 publications · 61 citations
1
h-index
1 publications · 15 citations
1
h-index
1–5