Name
Title | ||
|---|---|---|
Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification |
Abstract | ||
|---|---|---|
•Crop classification based on time series of Sentinel-1 images using SAR polarimetry.•Multi-temporal descriptors of crops phenology derived from coherence matrices and H/α decomposition.•Fast object-oriented classification approach with the use of Random Forest classifier.•County-wide testing and mapping.•Use of administrative data as a source of reference data. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.jag.2022.102683 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Phenological indices,Radar polarimetry,Crop classification,Sentinel-1,Agriculture | Journal | 107 |
ISSN | Citations | PageRank |
1569-8432 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edyta Wozniak | 1 | 0 | 0.34 |
| Marcin Rybicki | 2 | 0 | 0.34 |
| Wlodek Kofman | 3 | 0 | 0.34 |
| Sebastian Aleksandrowicz | 4 | 0 | 0.34 |
| Cezary Wojtkowski | 5 | 0 | 0.34 |
| Stanislaw Lewinski | 6 | 0 | 0.34 |
| Jedrzej Bojanowski | 7 | 0 | 0.34 |
| Jan Musial | 8 | 0 | 0.34 |
| Tomasz Milewski | 9 | 0 | 0.34 |
| Przemyslaw Slesinski | 10 | 0 | 0.34 |
| Artur Laczynski | 11 | 0 | 0.34 |