Search and download of Sentinel, Landsat and Planet crops.
Time Series Downloader (TSD)
Automatic download of Sentinel, Landsat and Planet crops.
Carlo de Franchis, CMLA, ENS Cachan, Université Paris-Saclay, 2016-19
The main source code repository for this software is https://github.com/cmla/tsd.
tsd is easily installed from sources with
git clone https://github.com/cmla/tsd cd tsd pip install -e .
tsd latest release can also be installed from PyPI:
pip install tsd
Search and download is performed by
get_sentinel1.py (one file per satellite constellation).
They can be used both as command line scripts or as Python modules.
They use the Python modules
search_planet.py (one file per API provider).
From the command line
TSD can be used from the command line through the Python scripts
get_*.py. For instance, to download and process Sentinel-2 images of the
Jamnagar refinery, located at latitude 22.34806 and longitude 69.86889, run
python get_sentinel2.py --lat 22.34806 --lon 69.86889 -b B02 B03 B04 -o test
This downloads crops of size 5000 x 5000 meters from the bands 2, 3 and 4,
corresponding to the blue, green and red channels, and stores them in geotif
files in the
It should print something like this on
stdout (the number of images might vary):
Found 22 images Elapsed time: 0:00:02.301129 Downloading 66 crops (22 images with 3 bands)... 66 / 66 Elapsed time: 0:00:57.620805 Reading 22 cloud masks... 22 / 22 6 cloudy images out of 22 Elapsed time: 0:00:15.066992
Images with more than half of the pixels covered by clouds (according to the
cloud polygons available in Sentinel-2 images metadata, or Landsat-8 images
quality bands) are moved in the
To specify the desired bands, use the
--band flag. The crop size can
be changed with the
--height flags. For instance
python get_sentinel2.py --lat 22.34806 --lon 69.86889 -b B11 B12 --width 8000 --height 6000
downloads crops of size 8000 x 6000 meters, only for the SWIR channels (bands 11 and 12).
All the available options are listed with the
python get_sentinel2.py -h
You can also run any of the
search_*.py scripts from the command line
separately. Run them with
-h to get the list of available options. For a
nice output formatting, pipe their output to
brew install jq).
python search_stac.py --lat 22.34806 --lon 69.86889 | jq
For example, this should print ready to use
curl commands for downloading
Sentinel-5P netCDF files:
python search_scihub.py --lon 2 --lat 48 -s 2020-3-1 --satellite Sentinel-5P --product-type L1B_RA_BD8 | jq -r '. | "curl --user s5pguest:s5pguest \"\(.links.alternative)\\$value\" > \(.title).nc"'
As Python modules
The Python modules can be imported to call their functions from Python. Refer to their docstrings to get usage information. Here are some examples.
# define an area of interest import tsd lat, lon = 42, 3 aoi = tsd.utils.geojson_geometry_object(lat, lon, 5000, 5000) # search Landsat-8 images available on the AOI with a STAC API x = tsd.search_stac.search(aoi, satellite='Landsat-8')
rasterio issue on Ubuntu causes the need for this environment
variable (more info on rasterio's
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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