Name
Title | ||
|---|---|---|
Improving the spatial and temporal estimating of daytime variation in maize net primary production using unmanned aerial vehicle-based remote sensing |
Abstract | ||
|---|---|---|
•Net primary productivity (NPP) in maize were measured using the chamber method.•Canopy reflectance were measured using unmanned aerial vehicle multispectral system.•Daytime variation model in NPP was established using Vegetation indices.•Vegetation indices-based model explained more than 90% of variation in maximum NPP.•Vegetation indices-based model explained more than 83% of variation in NPP. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jag.2021.102467 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Carbon flux,Maize ecosystem,UAV remote sensing,Vegetation indices,Rectangular hyperbola model,NPP variation | Journal | 103 |
ISSN | Citations | PageRank |
1569-8432 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaoqun Li | 1 | 0 | 1.35 |
| Wenting Han | 2 | 0 | 2.03 |
| Manman Peng | 3 | 0 | 1.35 |