spgriffin's repositories
land_cover
High Resolution Land Cover Mapping using Deep learning
core3d-metrics
Performs metric analysis for 3D models.
Deep-Learning-for-Satellite-Imagery
Deep learning courses and projects
deep-unet-for-satellite-image-segmentation
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Drone-Images-Mosaicing
This project contains the code written from scratch to generate mosaics out of drone imagery. This code can also be used for panorama generation.
ESRI_Workshop
Jupyter notebooks for Python and R workshops
hants
This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.
indices_python
Climate indices for drought monitoring, community reference implementations in Python
land-cover
Code for training and testing deep learning based land cover models.
lidar_align
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
malariaAtlas
An R interface to open-access malaria data, hosted by the Malaria Atlas Project.
NodeMICMAC
A Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.
pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
raster-vision
An open source framework for deep learning on satellite and aerial imagery.
satellite-image-deep-learning
Resources for performing deep learning on satellite imagery
solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
uipPipeline
Python scripts for UAV images processing pipeline
whitebox
A Python package for advanced geospatial data analysis
whitebox-tools
An advanced geospatial data analysis platform
wv2-processing
:earth_americas: Processing scripts for decision-tree land use classification on worldview 2 imagery
xView2_first_place
1st place solution for "xView2: Assess Building Damage" challenge.
xView2_scoring
Reference code showing how scores/metrics are computed for the xView2 Challenge