sentinel2-downloader 1.0.0

Utility for searching and downloading satellite images Dataspace Copernicus

Overview

sentinel2_downloader is a Python library that allows you to search, download, and retrieve metadata of Sentinel satellite images from the Copernicus Data Space.

Features

• Search for Sentinel satellite images based on various parameters such as footprint, date range, product type, cloud cover percentage, and platform name.

• Download Sentinel satellite images using their product IDs.

• Save downloaded images to the specified directory.

• Display a progress bar during the download process, showing the download speed, elapsed time, and percentage of completion.

Installation

You can install sentinel2_downloader using pip:

pip install sentinel2_downloader

Usage

Here’s an example of how to use sentinel2_downloader:

from sentinel2_downloader import SentinelAPI

# Create an instance of the SentinelAPI
api = SentinelAPI(username='your_username', password='your_password')

# Perform a search for Sentinel satellite images
products = api.query(footprint='POLYGON((longitude1 latitude1, longitude2 latitude2, longitude3 latitude3, ...))',
start_date='2020-01-01', end_date='2020-01-31', cloud_cover_percentage='20', product_type='MSIL1C',
platform_name='SENTINEL-2')
if len(products) > 1:
    for product in products:
        # Download the images
        a = api.download(product_id=product['Id'], directory_path='output')

Args:

• footprint (str): The footprint to define the geographic area of interest. It should be in the Well-Known Text (WKT) format.

• start_date (str): The start date of the data acquisition period in the format ‘yyyy-mm-dd’.

• end_date (str): The end date of the data acquisition period in the format ‘yyyy-mm-dd’.

• product_type (str): The type of Sentinel product to query.

• cloud_cover_percentage (str): The maximum cloud cover percentage allowed.

• platform_name (str): The name of the Sentinel platform.