landsat-util 0.6.2

Landsat-util

Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery.

This tool uses Development Seed’s API for Landsat Metadata.

This API is accessible here: https://api.developmentseed.org/landsat

You can also run your own API and connect it to this tool.

Installation

On Mac

$: pip install landsat-util

On Ubuntu 14.04

Use pip to install landsat-util. If you are not using virtualenv, you might have to run pip as sudo.

$: sudo apt-get update

$: sudo apt-get install python-pip python-numpy python-scipy libgdal-dev libatlas-base-dev gfortran

$: pip install landsat-util

On Other systems

Make sure Python setuptools is installed.

$: python setup.py numpy six

$: python setup.py install

To Upgrade

$: pip install -U landsat-util

If you have installed previous version of landsat using brew, first run:

$: brew uninstall landsat-util

To Test

$: pip install -U requirements/dev.txt

$: nosetests

Or

$: python setup.py test

Overview: What can landsat-util do?

Landsat-util has three main functions:

• Search for landsat tiles based on several search parameters.

• Download landsat images.

• Image processing and pan sharpening on landsat images.

These three functions have to be performed separately.

Help: Type landsat -h for detailed usage parameters.

Step 1: Search

Search returns information about all landsat tiles that match your criteria. This includes a link to an unprocessed preview of the tile. The most important result is the tile’s sceneID, which you will need to download the tile (see step 2 below).

Search for landsat tiles in a given geographical region, using any of the following:

• Paths and rows: If you know the paths and rows you want to search for.

• Latidue and Longitude: If you need the latitude and longitude of the point you want to search for.

Additionally filter your search using the following parameters:

• Start and end dates for when imagery was taken

• Maximum percent cloud cover (default is 20%)

Examples of search:

Search by path and row:

$: landsat search --cloud 4 --start "january 1 2014" --end "january 10 2014" -p 009,045

Search by latitude and longitude:

$: landsat search --lat 38.9004204 --lon -77.0237117

Step 2: Download

You can download tiles using their unique sceneID, which you get from landsat search.

Landsat-util will download a zip file that includes all the bands. You have the option of specifying the bands you want to down. In this case, landsat-util only downloads those bands if they are available online.

Examples of download:

Download images by their custom sceneID, which you get from landsat search:

$: landsat download LC80090452014008LGN00

Download only band 4, 3 and 2 for a particular sceneID:

$: landsat download LC80090452014008LGN00 --bands 432

Download multiple sceneIDs:

$: landsat download LC80090452014008LGN00 LC80090452015008LGN00 LC80090452013008LGN00

Step 3: Image processing

You can process your downloaded tiles with our custom image processing algorithms. In addition, you can choose to pansharpen your images and specify which bands to process.

Examples of image processing:

Process images that are already downloaded. Remember, the program accepts both zip files and unzipped folders:

$: landsat process path/to/LC80090452014008LGN00.tar.bz

If unzipped:

$: landsat process path/to/LC80090452014008LGN00

Specify bands 3, 5 and 1:

$: landsat process path/to/LC80090452014008LGN00 --bands 351

Process and pansharpen a downloaded image:

$: landsat process path/to/LC80090452014008LGN00.tar.bz --pansharpen

Important Notes

• All downloaded and processed images are stored at your home directory in landsat forlder: ~/landsat

• The image thumbnail web address that is included in the results can be used to make sure that clouds are not obscuring the subject of interest. Run the search again if you need to narrow down your result and then start downloading images. Each image is usually more than 700mb and it might takes a very long time if there are too many images to download

• Image processing is a very heavy and resource consuming task. Each process takes about 5-10 mins. We recommend that you run the processes in smaller badges. Pansharpening, while increasing image resolution 2x, substantially increases processing time.

• Landsat-util requires at least 2GB of Memory (RAM).