Name
Abstract | ||
|---|---|---|
In this study we develop a spatial model for interception capacity of vegetation based on LiDAR data. The study is conducted in the natural wetland river valley dominated meadows, reeds and small bushes. The multiple regression model was chosen to relate the field measurements of interception capacity and LiDAR statistics at 2m grid. The optimal model was chosen by stepwise selection and further manual variables selection resulting in the r(2) of 0.52 and the residual standard error of 0.27 mm. The model preserved the vegetation pattern spatially and showed reasonable estimates for both vegetation covered and not covered by field sampling. The model was, however, affected by LiDAR measurements corrupted by river inundation. The results show good perspective for using LiDAR data for interception capacity estimation. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | interception, rainfall, vegetation, LiDAR, remote sensing, riparian wetlands |
Field | DocType | ISSN |
Interception,Data modeling,Residual,Vegetation,Computer science,Hydrology,Remote sensing,Wetland,Lidar,Sampling (statistics),Linear regression | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomasz Berezowski | 1 | 3 | 1.41 |
| Jaroslaw Chormanski | 2 | 4 | 2.98 |
| Malgorzata Kleniewska | 3 | 0 | 0.34 |
| Sylwia Szporak-Wasilewska | 4 | 0 | 0.34 |