Table 1 List of existing Land-Use and Land-Cover (LULC) datasets ready for training Deep Learning (DL) models.
Dataset | Source | Source mapping type | Number of images | Image Size | Spatial Resolution | No. Bands | No. Classes | Extent |
|---|---|---|---|---|---|---|---|---|
ISPRS Vaihingen56 | — | Airborne | 33 im | 2000 × 2000 | 0.09 | 3 | 6 | Local |
ISPRS Postdam56 | — | Airborne | 38 im | 6000 × 6000 | 0.09 | 3 | 6 | Local |
Brazilian coffee scenes57 | SPOT-5 | Spaceborne | 50,004 im | 64 × 64 | 10 | 3 | 3 | Local |
SAT-458 | NAIP program | Airborne | 500,000 im | 28 × 28 | 1 | 4 | 4 | Local |
SAT-658 | NAIP program | Airborne | 405,000 im | 28 × 28 | 1 | 4 | 6 | Local |
UCMerced59 | OPLS | Airborne | 2100 im | 256 × 256 | 0.3 | 4 | 21 | Local |
Zeebruges (link) | LiDAR | Airborne | 100,000 im | 10 × 10 | 0.05 | 3 | 8 | Local |
WHU-RS1960 | Google Earth | Airborne | 1005 im | 600 × 600 | Up to 0.5 | 3 | 19 | Local |
SIRI-WHU61 | Google Earth | Airborne | 2.240 im | 200 × 200 | 2 | 3 | 12 | Local |
RSSCN762 | Google Earth | Airborne | 2800 im | 400 × 400 | — | 3 | 7 | Local |
RSC11 (link) | Google Earth | Airborne | 1232 im | 512 × 512 | 0.2 | 3 | 11 | Local |
NWPU-RESISC4518 | — | — | 31,500 im | 256 × 256 | \(\widetilde{3}0\)–0.2 | 3 | 45 | Local |
AID63 | Google Earth | Airborne | 10,000 im | 600 × 600 | \(\widetilde{8}\)-0.5 | 3 | 30 | Local |
BigEarthNet19 | Sentinel-2 | Satellite | 590,326 img. | — | — | — | — | 10 European countries |
SpaceNet-764 | Dove Satellite Constellation Planet Labs’ | Satellite | img. | — | — | — | — | 100 cities |
