Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Oui |
| Statut de publication | : | Publié |
| Année de publication | : | 2017 |
| Auteurs (7) | : | NOVOA Stefani DOXARAN David ODY Anouck VANHELLEMONT Quinten LAFON Virginie LUBAC Bertrand GERNEZ Pierre |
| Revue scientifique | : | Remote Sensing |
| Volume | : | 9 |
| Fascicule | : | 61 |
| Pages | : | |
| DOI | : | 10.3390/rs9010061 |
| URL | : | http://www.mdpi.com/2072-4292/9/1/61/htm |
| Abstract | : | - |
| Mots-clés | : | - |
| Commentaire | : | - |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Novoa S, Doxaran D, Ody A, Vanhellemont Q, Lafon V, Lubac B, Gernez P (2017) Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters. Remote Sens 9 | doi: 10.3390/rs9010061
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