Pretraining data of SkySense++
Creators
Description
This repository contains the data description and processing for the paper titled "SkySense++: A Semantic-Enhanced Multi-Modal Remote Sensing Foundation Model for Earth Observation." The code is in here
📢 Latest Updates
🔥🔥🔥 Last Updated on 2025.03.23 🔥🔥🔥
- [2025.3.23] updated pretraining data list of representation-enhanced pretraining
- [2025.3.14] updated optical images of JL-16 dataset (https://huggingface.co/datasets/KKKKKKang/JL-16)
- [2025.3.12] updated sentinel-1 images and labels of JL-16 dataset
- [2025.3.9] updated pretrain and evaluation data
Pretrain Data
RS-Semantic Dataset
We conduct semantic-enhanced pretraining on the RS-Semantic dataset, which consists of 13 datasets with pixel-level annotations. Below are the specifics of these datasets.
| Dataset | Modalities | GSD(m) | Size | Categories | Download Link |
|---|---|---|---|---|---|
| Five Billion Pixels | Gaofen-2 | 4 | 6800x7200 | 24 | Download |
| Potsdam | Airborne | 0.05 | 6000x6000 | 5 | Download |
| Vaihingen | Airborne | 0.05 | 2494x2064 | 5 | Download |
| Deepglobe | WorldView | 0.5 | 2448x2448 | 6 | Download |
| iSAID | Multiple Sensors | - | 800x800 to 4000x13000 | 15 | Download |
| LoveDA | Spaceborne | 0.3 | 1024x1024 | 7 | Download |
| DynamicEarthNet | WorldView | 0.3 | 1024x1024 | 7 | Download |
| Sentinel-2* | 10 | 32x32 | |||
| Sentinel-1* | 10 | 32x33 | |||
| Pastis-MM | WorldView | 0.3 | 1024x1024 | 18 | Download |
| Sentinel-2* | 10 | 32x32 | |||
| Sentinel-1* | 10 | 32x33 | |||
| C2Seg-AB | Sentinel-2* | 10 | 128x128 | 13 | Download |
| Sentinel-1* | 10 | 128x128 | |||
| FLAIR | Spot-5 | 0.2 | 512x512 | 12 | Download |
| Sentinel-2* | 10 | 40x40 | |||
| DFC20 | Sentinel-2 | 10 | 256x256 | 9 | Download |
| Sentinel-1 | 10 | 256x256 | |||
| S2-naip | NAIP | 1 | 512x512 | 32 | Download |
| Sentinel-2* | 10 | 64x64 | |||
| Sentinel-1* | 10 | 64x64 | |||
| JL-16 | Jilin-1 | 0.72 | 512x512 | 16 | Download |
| Sentinel-1* | 10 | 40x40 |
* for time-series data.
EO Benchmark
We evaluate our SkySense++ on 12 typical Earth Observation (EO) tasks across 7 domains: agriculture, forestry, oceanography, atmosphere, biology, land surveying, and disaster management. The detailed information about the datasets used for evaluation is as follows.
| Domain | Task type | Dataset | Modalities | GSD | Image size | Download Link | Notes |
|---|---|---|---|---|---|---|---|
| Agriculture | Crop classification | Germany | Sentinel-2* | 10 | 24x24 | Download | |
| Foresetry | Tree species classification | TreeSatAI-Time-Series | Airborne, | 0.2 | 304x304 | Download | |
| Sentinel-2* | 10 | 6x6 | |||||
| Sentinel-1* | 10 | 6x6 | |||||
| Deforestation segmentation | Atlantic | Sentinel-2 | 10 | 512x512 | Download | ||
| Oceanography | Oil spill segmentation | SOS | Sentinel-1 | 10 | 256x256 | Download | |
| Atmosphere | Air pollution regression | 3pollution | Sentinel-2 | 10 | 200x200 | Download | |
| Sentinel-5P | 2600 | 120x120 | |||||
| Biology | Wildlife detection | Kenya | Airborne | - | 3068x4603 | Download | |
| Land surveying | LULC mapping | C2Seg-BW | Gaofen-6 | 10 | 256x256 | Download | |
| Gaofen-3 | 10 | 256x256 | |||||
| Change detection | dsifn-cd | GoogleEarth | 0.3 | 512x512 | Download | ||
| Disaster management | Flood monitoring | Flood-3i | Airborne | 0.05 | 256 × 256 | Download | |
| C2SMSFloods | Sentinel-2, Sentinel-1 | 10 | 512x512 | Download | |||
| Wildfire monitoring | CABUAR | Sentinel-2 | 10 | 5490 × 5490 | Download | ||
| Landslide mapping | GVLM | GoogleEarth | 0.3 | 1748x1748 ~ 10808x7424 | Download | ||
| Building damage assessment | xBD | WorldView | 0.3 | 1024x1024 | Download |
* for time-series data.
Files
README.md
Files
(12.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:b233e2d701f6e53112e350acbcfabfc9
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12.5 kB | Preview Download |
Additional details
Identifiers
Related works
- Is supplemented by
- Software: https://github.com/kang-wu/SkySensePlusPlus (URL)
Dates
- Created
-
2024-03-09
Software
- Repository URL
- https://github.com/kang-wu/SkySensePlusPlus