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aniso-segmentation

Despeckling and image segmentation

ap-latam

Detection of slums and informal settlements from satellite imagery

arcgis-python-api

Documentation and samples for ArcGIS API for Python

classification-models-using-python

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python

code-vault

Collection of useful notebooks and snippets

cosmiq_sn6_baseline

Baseline algorithm for the SpaceNet 6 Challenge

cs131_notes

Class notes for CS 131.

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

day-of-data-2.0

Files for the DDY workshops

deep-neural-network-with-keras-python-satellite-image-classification

Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

deepnetsforeo

Deep networks for Earth Observation

dl_tutorial_rs

Introduction to convolutional neural networks (CNNs) with a remote sensing example.

dsnd-capstoneproject-satelliteimagecnn

dtw

DTW (Dynamic Time Warping) python module

dtwsat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

earthengine_scripts

scripts and snippets for Google Earth Engine

eo1-demo

Tutorial on example data analysis for Earth Observing-1 data on the Open Science Data Cloud.

fastwwsearch

This work focused on fast searching for the best warping window for Dynamic Time Warping and Time Series Classification

forest-degradation-monitoring

Repository for technical data dealing with (semi)-evergreen forest degradation monitoring

geocodit

geospatial-machine-learning

A curated list of resources focused on Machine Learning in Geospatial Data Science.

hybrid-cnn-rnn-model-for-hyperspectral-satellite-image-classification

The following model uses hybrid CNN- RNN model for classification of each pixel to its corresponding classes. Further the code is developed to classify pixels in accordance with soft as well as hard classification techniques.

image-classification-using-random-forest

kriging

Kriging assignment for map generation using spatial interpolation

linearsvmclassification

Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)

mapserver

Source code of the MapServer project. Please submit bug fixes for the 7.2 release, to branch-7-2

markov-random-field-project

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.