Evaluating the performance of multi-temporal synthetic-aperture radar imagery in land-cover mapping using a forward stepwise selection approach
Radar images are a supplement or alternative to optical images, especially in tropical regions where cloud cover is a challenge. The present study evaluated the performance of using multi-temporal synthetic-aperture radar images in land-cover mapping in Binh Duong province, Vietnam. Two experimental...
Elmentve itt :
| Szerzők: | |
|---|---|
| Dokumentumtípus: | Cikk |
| Megjelent: |
2023
|
| Sorozat: | REMOTE SENSING APPLICATIONS : SOCIETY AND ENVIRONMENT
30 |
| Tárgyszavak: | |
| doi: | 10.1016/j.rsase.2023.100975 |
| mtmt: | 33741208 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/27462 |
| LEADER | 02532nab a2200229 i 4500 | ||
|---|---|---|---|
| 001 | publ27462 | ||
| 005 | 20230620093513.0 | ||
| 008 | 230620s2023 hu o 0|| Angol d | ||
| 022 | |a 2352-9385 | ||
| 024 | 7 | |a 10.1016/j.rsase.2023.100975 |2 doi | |
| 024 | 7 | |a 33741208 |2 mtmt | |
| 040 | |a SZTE Publicatio Repozitórium |b hun | ||
| 041 | |a Angol | ||
| 100 | 1 | |a Mucsi László | |
| 245 | 1 | 0 | |a Evaluating the performance of multi-temporal synthetic-aperture radar imagery in land-cover mapping using a forward stepwise selection approach |h [elektronikus dokumentum] / |c Mucsi László |
| 260 | |c 2023 | ||
| 300 | |a 11 | ||
| 490 | 0 | |a REMOTE SENSING APPLICATIONS : SOCIETY AND ENVIRONMENT |v 30 | |
| 520 | 3 | |a Radar images are a supplement or alternative to optical images, especially in tropical regions where cloud cover is a challenge. The present study evaluated the performance of using multi-temporal synthetic-aperture radar images in land-cover mapping in Binh Duong province, Vietnam. Two experimental cases were investigated: Case 1 used only multi-temporal radar images, whereas Case 2 used a combination of multi-temporal radar images and one optical image. A set of 24 Sentinel-1 images and one Landsat-8 image acquired in 2020 were processed. A forward stepwise selection approach based on a random forest algorithm and a six-class classification scheme were used to determine the best combination of images. In Case 1, the 16-date combination gained the best result with an overall accuracy (OA) of 76.6%. Considering the trade-off between efficiency and cost, the seven-date combination (OA = 76.1%) could be the optimal integration. Compared to using single-date radar images, the OA in Case 1 was improved by 9.5%, and the producer's and user's accuracies were improved by 4.68%–33.33%. Meanwhile, in Case 2, the combination of one optical and seven radar images gave the best result (OA = 83.7%). It had at least 7.1% higher OA than Case 1. However, its OA was at least 2.4% lower, and the producer's and user's accuracies of most classes were reduced when compared to using only a single Landsat-8 image. Overall, the findings of this study confirmed the effectiveness of using multi-temporal radar images in land-cover mapping. However, the effectiveness of the combination of radar and optical images needs further elucidation. | |
| 650 | 4 | |a Föld- és kapcsolódó környezettudományok | |
| 700 | 0 | 1 | |a Bui Dang Hung |e aut |
| 856 | 4 | 0 | |u http://publicatio.bibl.u-szeged.hu/27462/1/1-s2.0-S2352938523000575-main.pdf |z Dokumentum-elérés |