Sentinel 2 Data Fetcher
Installation
Create a Virtual Environment and activate it.
python3 -m venv venv
. venv/bin/activate
Install the Package via pip.
pip install sat-mapping-cyborg-ai
Usage
Import the Library
from sat_mapping import FolderData, folders_time_frame, Paths, download
Set the Path to where you want to store the Satellite Data.
paths = Paths("<ANY/VALID/PATH>")
Start the Download. (Note: One year needs around 110 GB Disk Space.)
download(paths, years=[2019], tiles=["32TMT"], months=[7])
Load a folder.
folder_name = paths.folders[0]
upper_left = (100000.0, 0.0) # Postion on tile in [m]
lower_right = (109800.0, 10000.0) # Postion on tile in [m]
data = FolderData(join(paths.data_path, folder_name), upper_left, lower_right)
Display the image. (if matplotlib is not installed use pip install matplotlib
)
import matplotlib.pyplot as plt
picture = data.data[:, :, [3, 1, 2]] # NIR, GREEN, BLUE
fig: plt.Figure = plt.figure()
plt.imshow(picture)
plt.show()