An empirical algorithm to seamlessly retrieve the concentration of suspended particulate matter from water color across ocean to turbid river mouths
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Non |
| Statut de publication | : | Publié |
| Année de publication | : | 2019 |
| Auteurs (7) | : | YU X LEE Zhongping SHEN F WANG Menghua WEI Jianwei JIANG Lide SHANG Zhehai |
| Revue scientifique | : | Remote Sensing of Environment |
| Volume | : | 235 |
| Fascicule | : | |
| Pages | : | |
| DOI | : | 10.1016/j.rse.2019.111491 |
| URL | : | <go to isi>://wos:000501937600007 |
| Abstract | : | - |
| Mots-clés | : | - |
| Commentaire | : | - |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Yu X, Lee Z, Shen F, Wang M, Wei J, Jiang L, Shang Z (2019) An empirical algorithm to seamlessly retrieve the concentration of suspended particulate matter from water color across ocean to turbid river mouths. Remote Sens Environ 235 | doi: 10.1016/j.rse.2019.111491
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