Name
Abstract | ||
|---|---|---|
•First attempt to use machine learning to estimate estuarine NPP from satellite data.•Machine learning algorithm greatly outperformed VGPM for NPP estimation.•Tampa Bay NPP shows seasonality and an increasing trend from 2003 to 2020.•Seasonality and long-term increasing trend are largely driven by water temperature.•NPP shows a spatial pattern that likely reflects differences in river discharge. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.jag.2022.102821 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Primary production,Machine learning,Remote sensing,Estuaries,MODIS,Tampa Bay | Journal | 110 |
ISSN | Citations | PageRank |
1569-8432 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Xu | 1 | 1 | 2.37 |
| Chuanmin Hu | 2 | 0 | 0.34 |
| Raymond G. Najjar | 3 | 0 | 0.34 |
| Maria Herrmann | 4 | 0 | 0.34 |
| Henry Briceno | 5 | 0 | 0.34 |
| Brian B. Barnes | 6 | 0 | 0.34 |
| J. O. Roger Johansson | 7 | 0 | 0.34 |
| David English | 8 | 0 | 0.34 |