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https://github.com/yannforget/landsatxplore

Search and download Landsat scenes from EarthExplorer.
https://github.com/yannforget/landsatxplore

earth-observation landsat remote-sensing

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Search and download Landsat scenes from EarthExplorer.

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# Description



![CLI Demo](https://raw.githubusercontent.com/yannforget/landsatxplore/master/demo.gif?s=0.5)



The **landsatxplore** Python package provides an interface to the [EarthExplorer](http://earthexplorer.usgs.gov/) portal to search and download [Landsat Collections](https://landsat.usgs.gov/landsat-collections) scenes through a command-line interface or a Python API.



The following datasets are supported:



| Dataset Name | Dataset ID |

|-|-|

| Landsat 5 TM Collection 2 Level 1 | `landsat_tm_c2_l1` |

| Landsat 5 TM Collection 2 Level 2 | `landsat_tm_c2_l2` |

| Landsat 7 ETM+ Collection 2 Level 1 | `landsat_etm_c2_l1` |

| Landsat 7 ETM+ Collection 2 Level 2 | `landsat_etm_c2_l2` |

| Landsat 8 Collection 2 Level 1 | `landsat_ot_c2_l1` |

| Landsat 8 Collection 2 Level 2 | `landsat_ot_c2_l2` |

| Landsat 9 Collection 2 Level 1 | `landsat_ot_c2_l1` |

| Landsat 9 Collection 2 Level 2 | `landsat_ot_c2_l2` |



# Quick start



Searching for Landsat 5 TM scenes that contains the location (12.53, -1.53) acquired during the year 1995.



```

landsatxplore search --dataset landsat_tm_c2_l1 --location 12.53 -1.53 \

    --start 1995-01-01 --end 1995-12-31

```



Search for Landsat 7 ETM scenes in Brussels with less than 5% of clouds. Save the returned results in a `.csv` file.



```

landsatxplore search --dataset landsat_tm_c2_l2 \

    --location 50.83 4.38 --clouds 5 > results.csv

```



Downloading three Landsat scenes from different datasets in the current directory.



```

landsatxplore download LT51960471995178MPS00 LC80390222013076EDC00 LC82150682015350LGN01

```



To use the package, Earth Explorer credentials are required ([registration](https://ers.cr.usgs.gov/register)).



# Installation



The package can be installed using pip.



```

pip install landsatxplore

```



# Usage



**landsatxplore** can be used both through its command-line interface and as a Python module.



## Command-line interface



```

landsatxplore --help

```



```

Usage: landsatxplore [OPTIONS] COMMAND [ARGS]...



Options:

  --help  Show this message and exit.



Commands:

  download  Download one or several Landsat scenes.

  search    Search for Landsat scenes.

```



### Credentials



Credentials for the Earth Explorer portal can be obtained [here](https://ers.cr.usgs.gov/register/).



`--username` and `--password` can be provided as command-line options or as environment variables:



``` shell

export LANDSATXPLORE_USERNAME=

export LANDSATXPLORE_PASSWORD=

```



### Searching



```

landsatxplore search --help

```



```

Usage: landsatxplore search [OPTIONS]



  Search for Landsat scenes.



Options:

  -u, --username TEXT             EarthExplorer username.

  -p, --password TEXT             EarthExplorer password.

  -d, --dataset [landsat_tm_c1|landsat_etm_c1|landsat_8_c1|landsat_tm_c2_l1|landsat_tm_c2_l2|landsat_etm_c2_l1|landsat_etm_c2_l2|landsat_ot_c2_l1|landsat_ot_c2_l2|sentinel_2a]

                                  Landsat data set.

  -l, --location FLOAT...         Point of interest (latitude, longitude).

  -b, --bbox FLOAT...             Bounding box (xmin, ymin, xmax, ymax).

  -c, --clouds INTEGER            Max. cloud cover (1-100).

  -s, --start TEXT                Start date (YYYY-MM-DD).

  -e, --end TEXT                  End date (YYYY-MM-DD).

  -o, --output [entity_id|display_id|json|csv]

                                  Output format.

  -m, --limit INTEGER             Max. results returned.

  --help                          Show this message and exit.

```



### Downloading



```

landsatxplore download --help

```



```

Usage: landsatxplore download [OPTIONS] [SCENES]...



  Download one or several Landsat scenes.



Options:

  -u, --username TEXT    EarthExplorer username.

  -p, --password TEXT    EarthExplorer password.

  -d, --dataset TEXT     Dataset.

  -o, --output PATH      Output directory.

  -t, --timeout INTEGER  Download timeout in seconds.

  --skip

  --help                 Show this message and exit.

```



If the `--dataset` is not provided, the dataset is automatically guessed from the scene identifier. Note that only the newer Landsat Product Identifiers contain information related to collection number and processing level. To download Landsat Collection 2 products, use Product IDs or set the `--dataset` option correctly.



## API



### EarthExplorer API



**landsatxplore** provides an interface to the Earth Explorer JSON API. Please refer to the official ([documentation](https://earthexplorer.usgs.gov/inventory/documentation/json-api)) for possible request codes and parameters.



#### Basic usage



``` python

from landsatxplore.api import API



# Initialize a new API instance and get an access key

api = API(username, password)



# Perform a request. Results are returned in a dictionnary

response = api.request(

    '',

    params={

        "param_1": value_1,

        "param_2": value_2

    }

)



# Log out

api.logout()

```



Please refer to the official [JSON API Reference](https://m2m.cr.usgs.gov/api/docs/json/) for a list of all available requests.



#### Searching for scenes



``` python

import json

from landsatxplore.api import API



# Initialize a new API instance and get an access key

api = API(username, password)



# Search for Landsat TM scenes

scenes = api.search(

    dataset='landsat_tm_c2_l1',

    latitude=50.85,

    longitude=-4.35,

    start_date='1995-01-01',

    end_date='1995-10-01',

    max_cloud_cover=10

)



print(f"{len(scenes)} scenes found.")



# Process the result

for scene in scenes:

    print(scene['acquisition_date'].strftime('%Y-%m-%d'))

    # Write scene footprints to disk

    fname = f"{scene['landsat_product_id']}.geojson"

    with open(fname, "w") as f:

        json.dump(scene['spatial_coverage'].__geo_interface__, f)



api.logout()

```



Output:



```

4 scenes found.

1995-09-23

1995-08-22

1995-08-15

1995-06-28

```



#### Downloading scenes



``` python

from landsatxplore.earthexplorer import EarthExplorer



ee = EarthExplorer(username, password)



ee.download('LT51960471995178MPS00', output_dir='./data')



ee.logout()

```