batchsat

how to install

with conda (we used miniconda3)

• download the project
• create a conda environment and run the following command: conda install rasterio=1.3.3 geopandas=0.12.1 -c conda-forge
• then, run the command: pip install sentinelsat==1.1.1 xmltodict==0.13.0

how to use

create a csv file with the columns:

polygonid;polygonwkt;dtfrom;dtto
<uniquepolygonid0>;<polygonwkt_0>;<YYYY-mm-dd>;<YYYY-mm-dd>
.
.
.
<uniquepolygonid1>;<polygonwkt_1>;<YYYY-mm-dd>;<YYYY-mm-dd>

then, run python products.py --csv-path <pathtocsv_file>. there are other arguments, see with python products.py -h you will see that a products-polygons.csv was created.

use it as input to the next script, running: python rasters.py --csv-path <pathtooutputofproducts.py>. if everything goes ok, it will be created a folder named rasters and subfolders named with the poygons unique id. inside these subfolders you will see the downloaded raster files ready to be used.

example

Example of a True Color Image 10m resolution time series from a random crop near Brasília, from 2022-06-03 to 2022-10-26.

project goals

• build a knowledge on how to collect, prepare, process and work with raster files and raster files time series
• learn digital and image processing techniques applied to satellite images
• provide a script to concurrently download images from Sentinel-2 twin satellites using computer with relatively good resources
• provide a container/microservice to scale the download satellite images in a k8s cluster
• help programmers and researchers to easily get satellite image data to make the world a better and safer place