Hill Shading implementation for Matplotlib
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Updated
May 23, 2015 - Python
Hill Shading implementation for Matplotlib
Code for processing GLAH14/15 files
Django application to manage the download and processing of Landsat Imagery
Image Analysis, Classification and Change Detection in Remote Sensing
segment a set of rasters using rasterio and skimage
A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data
Satellite image processing pipeline to classify land-cover and land-use
This script performs unsupervised classification of Landsat7 satellite imagery leveraging on python-GRASS API. Unsupervised image classification is machine-driven and in this GRASS software does the job with some pre-defined parameters.
generate masks from Landsat and MODIS land product QA band
User ready python gdal examples
A python script to calculate reflectance/radiance from ASTER L1T hdf files
Indicar Landsat Geoprocessing Tools
After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.
A dockerized version of the neural style algorithm by jcjohnson, tuned for mapping
This repo contains project for Automatic Cartography from Remote Sensing datasets
Canadian Arctic Archipelago - sea ice thickness
CSIRO Mineral And Environmental Spectral Sensing Group - environmental monitoring
cOSMos package for OSM data retrieval
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