You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
HYPERNETS: a network of automated hyperspectral radiometers to validate water and land surface reflectance (380–1680 nm) from all satellite missions
|
|---|---|
| Published in |
Frontiers in Remote Sensing, April 2024
|
| DOI | 10.3389/frsen.2024.1372085 |
| Authors |
Kevin G. Ruddick, Agnieszka Bialek, Vittorio E. Brando, Pieter De Vis, Ana I. Dogliotti, David Doxaran, Philippe Goryl, Clémence Goyens, Joel Kuusk, Daniel Spengler, Kevin R. Turpie, Quinten Vanhellemont |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Researcher | 1 | 33% |
| Student > Ph. D. Student | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 67% |
| Environmental Science | 1 | 33% |