The satsense from derkbarten

satsense's Introduction

Satsense

Satsense is a library for remote sensing using satellite imagery.

It is based on gdal and numpy.

satsense - library for analysing satellite images, performance evaluation, etc.
notebooks - IPython notebooks for illustrating and testing the usage of Satsense

Installation

We are using python 3.5 and jupyter notebook for our code.

Assuming you have conda installed and are in the directory where you have checked out this repository:

conda create --name satsense python=3
source activate satsense
conda env update

To install satsense from the git repo in development mode use:

pip install -e .

Examples:

Loading a file from the worldview2 satellite and displaying it:

from satsense.util import load_from_file, get_rgb_image
from satsense.features import WORLDVIEW2
import matplotlib.pyplot as plt

imagefile = '/path/to/file/WorldView.tif'
bands = WORLDVIEW2 # The ordering of the bands in a worldview2 file

# Load the file. This will give the raw gdal file as well as a numpy
# ndarray with the bands loaded (not normalized)
dataset, image = load_from_file(imagefile)

# Convert the image to an rgb image. The original image is not
# yet normalized
true_color = get_rgb_image(image, bands, normalized=False)

plt.imshow(true_color)

Calculating the rgNDVI of the image:

from satsense.features import rgNDVI, print_ndvi_stats

ndvi = rgNDVI(image, bands=bands)

print_ndvi_stats(ndvi)

# Display the rgNDVI inverted, because with rgNDVI low values means vegetation
plt.imshow(-ndvi)

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