Name
Title | ||
|---|---|---|
Assessing the performance of different OBIA software approaches for mapping invasive alien plants along roads with remote sensing data |
Abstract | ||
|---|---|---|
•We compared three OBIA programs for mapping invasive alien plants (IAP) along roadsides.•We mapped IAP species with a sequential process, masking first non-vegetation classes.•eCognition hold better classification results in mapping land cover and IAP.•OTB/Monteverdi and ArcGIS showed good performance in land-cover mapping and poorer performance in IAP mapping.•Spectral and phenological species traits should be considered when monitoring IAP. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jag.2020.102263 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Invasive alien plants,Remote sensing,Segmentation,Very high spatial resolution images,Open source software,Proprietary software | Journal | 95 |
ISSN | Citations | PageRank |
1569-8432 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Lourenço | 1 | 0 | 0.34 |
| A. C. Teodoro | 2 | 19 | 7.58 |
| JosÉ A. Goncalves | 3 | 40 | 6.57 |
| João Honrado | 4 | 21 | 6.74 |
| Mario Cunha | 5 | 33 | 8.12 |
| N. Sillero | 6 | 4 | 0.87 |