Name
Title | ||
|---|---|---|
Monitoring LULC dynamics in the Sao Paulo region through landsat and C-band SAR time series |
Abstract | ||
|---|---|---|
The paper debates a novel approach for sugarcane identification and characterization based on multi-spectral and multi-temporal profile matching. A parametric model aimed at identifying sugarcane among pasture/grasses/shrubs, annual crops and forest is proposed. Differently from other supervised and unsupervised classification techniques, the discussed profile-based parametric model accounts for variability in growth date, that becomes valuable information to be extracted, rather than simply a nuisance parameter, and delivers an effective extrapolation of the cane vigor. The approach is then applied to Landsat 5 TM and ERS/ENVISAT SAR time-series over the Orindiuva area attaining preliminary promising although perfectible results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IGARSS.2015.7325705 | 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Keywords | DocType | ISSN |
Crop identification,sugarcane mapping,multi-sensor analysis,curve fitting | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Iannini | 1 | 13 | 6.39 |
| R. Molijn | 2 | 0 | 0.34 |
| Alijafar Mousivand | 3 | 16 | 3.00 |
| Ramon F. Hanssen | 4 | 107 | 28.92 |