Mine Survey Data Processing
Mine Survey Data Processing is a specialized branch of geospatial data analysis that involves the systematic transformation, validation, and interpretation of raw survey measurements collected in mining environments to produce accurate, reliable spatial information for operational, safety, and planning purposes.
69
Publications
2.5K
Citations
280
Authors
131
Institutions
Publications per year
2017–2026
35
69
1–5 of 69
280
3
h-index
2
h-index
Institute for High Performance Computing and Networking, Italy
1 publications · 81 citations
1
h-index
1
h-index
1
h-index
1–5 of 280
131
AGH University of Krakow
Krakow, Poland
4 h-index
10 publications
290 citations

Central South University
Changsha, China
3 h-index
11 publications
312 citations

Wrocław University of Science and Technology
Wroclaw, Poland
3 h-index
6 publications
185 citations

The University of Melbourne
Melbourne, Australia
3 h-index
4 publications
497 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
5 publications
119 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
14 publications
495 citations
China University of Mining and Technology
Xuzhou, China
3 h-index
7 publications
148 citations
University of Arizona
Tucson, United States
2 h-index
5 publications
163 citations
1–8 of 131
3 publications · 186 citations
3
h-index
JARS · 2 publications · 38 citations
2
h-index
2 publications · 33 citations
2
h-index
2 publications · 31 citations
2
h-index
2 publications · 103 citations
2
h-index
1–5