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6s_emulator

Atmospheric correction in Python using a 6S emulator

acm-dev

code for the ACMDEV publication

automate_circular_field_mapping

Interactive Image Segmentation part 3 - Automation

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

bcal-lidar-tools

Automatically exported from code.google.com/p/bcal-lidar-tools

cafferemotesensing

camera-lidar-calibration

ccdc

Automatically exported from code.google.com/p/ccdc

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

cloudforest

Rapid cloud-based processing of global tree loss maps at multiple spatial scales

cloudless

Deep learning pipeline for orbital satellite data for detecting clouds

core3d-metrics

Performs metric analysis for 3D models.

coursera-r-programming

Coursera R Programming Repository

cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.

coyote

The Coyote Library evolved from work David Fanning was doing teaching IDL courses and answering IDL questions on the IDL newsgroup. It is meant to be a well-documented library that demonstrates how to write solid (dare we say eloquent) IDL programs that are easy to maintain and extend. You can learn more about these programs and about IDL programming in general at David's web page, Coyote's Guide to IDL Programming.

crcenvi

ENI/IDL script for Image Analysis

datasharing

The Leek group guide to data sharing

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

deepnetsforeo

Deep networks for Earth Observation

deeposm

Train a deep learning net with OpenStreetMap features and satellite imagery.

docs

Documentation on GBDX tasks.

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.

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

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-api_codes-for-geospatial-science-data-analysis

Google Earth Engine API Codes for Earth science data & analysis

earthengine_scripts

scripts and snippets for Google Earth Engine