spgriffin's repositories
6S_emulator
Atmospheric correction in Python using a 6S emulator
Automate_circular_field_mapping
Interactive Image Segmentation part 3 - Automation
CitizenSensor
Classification of scenery from images
Clip-Ship-Planet-CLI
Clip and Ship application to batch clip using Planet's Clip API
cloud-masking-sentinel2
Cloud masking of Sentinel 2 using Google Earth Engine
DeepNetsForEO
Deep networks for Earth Observation
Dstl-Satellite-Imagery-Feature-Detection
Place 18 solution for the Dstl feature detection kaggle challenge https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection
earthengine
Change Detection with Google Earth Engine Imagery
ee-atmcorr-timeseries
Atmospherically Corrected Time Series using Google Earth Engine
Embarrassingly-Parallel-Image-Classification
Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
gee-atmcorr-S2-6SE
Atmospheric correction of Sentinel 2 image collections
GFCalculator
Global Forest Change calculator - uses Hansen et a. (2013) GFC data to calculate forest cover for given set of areas
google_earth_engine_notebook
A walkthrough of some Google Earth Engine Features, as well as using the data in TensorFlow
OpenCVSift
OpenCV simple SIFT example with Anaconda and Jupyter
orthomosaic
Rectify and stitch images together using multiview geometry.
photogrammetry
Python Photogrammetry Toolbox (formerly osm-bundler), for rendering a 3D pointcloud from photos of an object at different angles.
Planet-GEE-Pipeline-CLI
Planet and Google Earth Engine Pipeline Command Line Interface Tool
Planet-GEE-Pipeline-GUI
Planet and Google Earth Engine Asset Pipeline
rio-segment
segment a set of rasters using rasterio and skimage
robust_point_cloud_registration
Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")
satellite-image-object-detection
YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).
satellite-image-segmentation
My final project for the Metis Data Science Bootcamp, satellite image segmentation, in partnership with Digital Globe.
shanghai-water-segmentation
Using a convolutional neural network to segment water in satellite imagery of Shanghai provided by Digital Globe
standard_precip
Python implementation for calculating the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI)