Remote Sensing of Roughness is a methodological framework within geospatial analysis that uses electromagnetic sensor data to quantify surface texture and topographic variability without direct physical contact.
103
Publications
4.5K
Citations
388
Authors
196
Institutions
Publications per year
2017–2026
26
Parents
Publications
103
Lunar surface roughness derived from LRO Diviner Radiometer observations
J. L. Bandfield, P. O. Hayne, J. P. Williams et al. · Icarus · 2014 · 136 citations
1–5 of 103
Authors
388
- AR
3
h-index
- CP
3
h-index
- CW
3
h-index
- PZ
2
h-index
- JC
2
h-index
1–5 of 388
Institutions
196
Centre National de la Recherche Scientifique
Paris, France
9 h-index
29 publications
1.4K citations
University of Arizona
Tucson, United States
6 h-index
10 publications
366 citations
Goddard Space Flight Center
Greenbelt, United States
6 h-index
7 publications
267 citations
Jet Propulsion Laboratory
Pasadena, United States
5 h-index
12 publications
3.4K citations
Chinese Academy of Sciences
Beijing, China
4 h-index
22 publications
345 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
179 citations
Planetary Science Institute
Tucson, United States
3 h-index
9 publications
149 citations
Centre d'Études Spatiales de la Biosphère
Toulouse, France
3 h-index
9 publications
804 citations
1–8 of 196
Venues
- Remote Sensing of Environment
12 publications · 998 citations
12
h-index
- CATENA
5 publications · 215 citations
5
h-index
- Icarus
5 publications · 285 citations
5
h-index
- Advances in Space Research
4 publications · 58 citations
4
h-index
- IEEE Transactions on Geoscience and Remote Sensing
4 publications · 155 citations
4
h-index
1–5