sedas-pyapi 0.2.0

client library to easily access the SeDAS API

sedas_pyapi

A small collection of useful functions to get data from SeDAS. Works with the API documented here

Requires python 3+ has been tested with 3.7

Installing

Currently you will need to manually install the wheel generated by this project. Run

make dist 
pip install dist/sedas_pyapi-0.2.0-py3-none-any.whl

Soon we should have a copy of this in PyPI so you will be able to list it as a dependency.

Usage

Create an instance of sedas_pyapi.sedas_api.SeDASAPI passing in your username and password.

Then call search_optical, search_sar or search_product to find the details of a product.

Once you have a list of things you want to download you can use the sedas_pyapi.bulk_download.SeDASBulkDownload to download all of them. There are also download methods on the SeDASAPI if you need to do something a bit different.

Due to the way the SeDAS system works sometimes when you do a search you will not get a download url in the result object. If this happens it means that the data is available but in the long term archive (lta) and must be requested first. Use the request and is_request_ready methods to make a request and then wait for it to be fulfilled. If you use the SeDASBulkDownload this will take care of LTA requests for you.

For more details see the examples below

Examples

Creating a client

from sedas_pyapi.sedas_api import SeDASAPI
from getpass import getpass

# This is a suggestion for how to get your username and password
_username = input("Please enter your username:")
__password = getpass("Please enter your password:")

sedas = SeDASAPI(_username, __password)

The SeDASAPI object can then be used to access the rest of the api.

Search for an optical AOI with cloud cover filters

import json
from sedas_pyapi.sedas_api import SeDASAPI
from getpass import getpass

wkt = "POLYGON ((-1.3295 51.5881," \
          "-1.3013 51.5872," \
          "-1.3020 51.5621," \
          "-1.3300 51.5622," \
          "-1.3295 51.5881))"
startDate = "2019-04-30T00:00:00Z"
endDate = "2019-05-12T23:59:59Z"

_username = input("Please enter your username:")
__password = getpass("Please enter your password:")

sedas = SeDASAPI(_username, __password)
result_optical = sedas.search_optical(wkt, startDate, endDate, maxCloudPercent=50)
print(json.dumps(result_optical, sort_keys=True, indent=4, separators=(',', ': ')))

Returns a SeDAS search result object. See more

Search for a SAR AOI

import json
from sedas_pyapi.sedas_api import SeDASAPI
from getpass import getpass

wkt = "POLYGON ((-1.3295 51.5881," \
          "-1.3013 51.5872," \
          "-1.3020 51.5621," \
          "-1.3300 51.5622," \
          "-1.3295 51.5881))"
startDate = "2019-04-30T00:00:00Z"
endDate = "2019-05-12T23:59:59Z"

_username = input("Please enter your username:")
__password = getpass("Please enter your password:")

sedas = SeDASAPI(_username, __password)
result_sar = sedas.search_sar(wkt, startDate, endDate)
print(json.dumps(result_sar, sort_keys=True, indent=4, separators=(',', ': ')))

Returns a SeDAS search result object. See more

Search for a single product

import json
from sedas_pyapi.sedas_api import SeDASAPI
from getpass import getpass

_username = input("Please enter your username:")
__password = getpass("Please enter your password:")

sedas = SeDASAPI(_username, __password)
singleProduct = sedas.search_product("S1B_IW_GRDH_1SDV_20190528T105030_20190528T105055_016443_01EF3E_5E4F")
print(json.dumps(singleProduct, sort_keys=True, indent=4, separators=(',', ': ')))

This returns an array containing SeDAS products. See more

Download a single product

from sedas_pyapi.sedas_api import SeDASAPI
from getpass import getpass

_username = input("Please enter your username:")
__password = getpass("Please enter your password:")

sedas = SeDASAPI(_username, __password)
singleProduct = sedas.search_product("S1B_IW_GRDH_1SDV_20190528T105030_20190528T105055_016443_01EF3E_5E4F")

sedas.download(singleProduct, "/output/path/")

Bulk download many products

Note with historical request this can take a while to recover the images from the archive.

from sedas_pyapi.bulk_download import SeDASBulkDownload
from sedas_pyapi.sedas_api import SeDASAPI
from getpass import getpass
import time

wkt = "POLYGON ((-1.3295 51.5881," \
          "-1.3013 51.5872," \
          "-1.3020 51.5621," \
          "-1.3300 51.5622," \
          "-1.3295 51.5881))"
startDate = "2019-04-30T00:00:00Z"
endDate = "2019-05-12T23:59:59Z"

_username = input("Please enter your username:")
__password = getpass("Please enter your password:")

sedas = SeDASAPI(_username, __password)

# Search for some images.
result_sar = sedas.search_sar(wkt, startDate, endDate, sarProductType="SLC")
# Create a downloader. This will spawn a number of background threads to actually do the downloading and waiting for 
# the long term archive requests.
downloader = SeDASBulkDownload(sedas, "/output/path/", parallel=3)

# Add the things we want to download to the queue
downloader.add(result_sar['products'])

# Wait for the downloader to be finished.
while not downloader.is_done():
    time.sleep(5)

# clean up the background threads.
downloader.shutdown()

History

0.0.1 (2019-06-04)

• Initial code release without packaging.