---
license: other
license_name: license-agreement-on-the-use-of-enmap-data
license_link: https://geoservice.dlr.de/resources/licenses/enmap/EnMAP-Data_License_v1_1.pdf
---

# How to use it
Install Dataset4EO

```git clone --branch streaming https://github.com/EarthNets/Dataset4EO.git```

```pip install -e .```

Then download the dataset from this Huggingface repo.

```python
import dataset4eo as eodata
import litdata as ld


train_dataset = eodata.StreamingDataset(input_dir="optimized_enmap_cdl_dataset", num_channels=202, channels_to_select=[0,1,2], shuffle=True, drop_last=True)
sample = dataset[101]
print(sample.keys())

dataloader = ld.StreamingDataLoader(train_dataset)
max_label = 0
for sample in tqdm.tqdm(dataloader):
    max_id = (np.unique(sample["segmentation_map"])).max()
    max_label = max_id if max_id > max_label else max_label

print(max_label)

```

The land cover classes of the [dataset](https://www.nass.usda.gov/Research_and_Science/Cropland/sarsfaqs2.php):

| Code | Land Cover                         |
|------|------------------------------------|
| 1    | Corn                               |
| 2    | Cotton                             |
| 3    | Rice                               |
| 4    | Sorghum                            |
| 5    | Soybeans                           |
| 6    | Sunflower                          |
| 10   | Peanuts                            |
| 11   | Tobacco                            |
| 12   | Sweet Corn                         |
| 13   | Pop or Orn Corn                    |
| 14   | Mint                               |
| 21   | Barley                             |
| 22   | Durum Wheat                        |
| 23   | Spring Wheat                       |
| 24   | Winter Wheat                       |
| 25   | Other Small Grains                 |
| 26   | Dbl Crop WinWht/Soybeans           |
| 27   | Rye                                |
| 28   | Oats                               |
| 29   | Millet                             |
| 30   | Speltz                             |
| 31   | Canola                             |
| 32   | Flaxseed                           |
| 33   | Safflower                          |
| 34   | Rape Seed                          |
| 35   | Mustard                            |
| 36   | Alfalfa                            |
| 37   | Other Hay/Non Alfalfa              |
| 38   | Camelina                           |
| 39   | Buckwheat                          |
| 41   | Sugarbeets                         |
| 42   | Dry Beans                          |
| 43   | Potatoes                           |
| 44   | Other Crops                        |
| 45   | Sugarcane                          |
| 46   | Sweet Potatoes                     |
| 47   | Misc Vegs & Fruits                 |
| 48   | Watermelons                        |
| 49   | Onions                             |
| 50   | Cucumbers                          |
| 51   | Chick Peas                         |
| 52   | Lentils                            |
| 53   | Peas                               |
| 54   | Tomatoes                           |
| 55   | Caneberries                        |
| 56   | Hops                               |
| 57   | Herbs                              |
| 58   | Clover/Wildflowers                 |
| 59   | Sod/Grass Seed                     |
| 60   | Switchgrass                        |
| 61   | Fallow/Idle Cropland               |
| 62   | Pasture/Grass                      |
| 63   | Forest                             |
| 64   | Shrubland                          |
| 65   | Barren                             |
| 66   | Cherries                           |
| 67   | Peaches                            |
| 68   | Apples                             |
| 69   | Grapes                             |
| 70   | Christmas Trees                    |
| 71   | Other Tree Crops                   |
| 72   | Citrus                             |
| 74   | Pecans                             |
| 75   | Almonds                            |
| 76   | Walnuts                            |
| 77   | Pears                              |
| 81   | Clouds/No Data                     |
| 82   | Developed                          |
| 83   | Water                              |
| 87   | Wetlands                           |
| 88   | Nonag/Undefined                    |
| 92   | Aquaculture                        |
| 111  | Open Water                         |
| 112  | Perennial Ice/Snow                 |
| 121  | Developed/Open Space               |
| 122  | Developed/Low Intensity            |
| 123  | Developed/Med Intensity            |
| 124  | Developed/High Intensity           |
| 131  | Barren                             |
| 141  | Deciduous Forest                   |
| 142  | Evergreen Forest                   |
| 143  | Mixed Forest                       |
| 152  | Shrubland                          |
| 176  | Grassland/Pasture                  |
| 190  | Woody Wetlands                     |
| 195  | Herbaceous Wetlands                |
| 204  | Pistachios                         |
| 205  | Triticale                          |
| 206  | Carrots                            |
| 207  | Asparagus                          |
| 208  | Garlic                             |
| 209  | Cantaloupes                        |
| 210  | Prunes                             |
| 211  | Olives                             |
| 212  | Oranges                            |
| 213  | Honeydew Melons                    |
| 214  | Broccoli                           |
| 215  | Avocados                           |
| 216  | Peppers                            |
| 217  | Pomegranates                       |
| 218  | Nectarines                         |
| 219  | Greens                             |
| 220  | Plums                              |
| 221  | Strawberries                       |
| 222  | Squash                             |
| 223  | Apricots                           |
| 224  | Vetch                              |
| 225  | Dbl Crop WinWht/Corn               |
| 226  | Dbl Crop Oats/Corn                 |
| 227  | Lettuce                            |
| 228  | Dbl Crop Triticale/Corn            |
| 229  | Pumpkins                           |
| 230  | Dbl Crop Lettuce/Durum Wht         |
| 231  | Dbl Crop Lettuce/Cantaloupe        |
| 232  | Dbl Crop Lettuce/Cotton            |
| 233  | Dbl Crop Lettuce/Barley            |
| 234  | Dbl Crop Durum Wht/Sorghum         |
| 235  | Dbl Crop Barley/Sorghum            |
| 236  | Dbl Crop WinWht/Sorghum            |
| 237  | Dbl Crop Barley/Corn               |
| 238  | Dbl Crop WinWht/Cotton             |
| 239  | Dbl Crop Soybeans/Cotton           |
| 240  | Dbl Crop Soybeans/Oats             |
| 241  | Dbl Crop Corn/Soybeans             |
| 242  | Blueberries                        |
| 243  | Cabbage                            |
| 244  | Cauliflower                        |
| 245  | Celery                             |
| 246  | Radishes                           |
| 247  | Turnips                            |
| 248  | Eggplants                          |
| 249  | Gourds                             |
| 250  | Cranberries                        |
| 254  | Dbl Crop Barley/Soybeans           |



We acknowledge and give full credit to the original authors of SpectralEarth for their effort in creating this dataset.
The dataset is re-hosted in compliance with its original license to facilitate further research. Please cite the following paper for the creation of the dataset:

```
@article{braham2024spectralearth,
  title={SpectralEarth: Training Hyperspectral Foundation Models at Scale},
  author={Braham, Nassim Ait Ali and Albrecht, Conrad M and Mairal, Julien and Chanussot, Jocelyn and Wang, Yi and Zhu, Xiao Xiang},
  journal={arXiv preprint arXiv:2408.08447},
  year={2024}
}
```