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https://github.com/attibalazs/awesome-remote-sensing

Collection of Remote Sensing Resources
https://github.com/attibalazs/awesome-remote-sensing

List: awesome-remote-sensing

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Collection of Remote Sensing Resources

Lists

README 

        
# awesome-remote-sensing



Remote Sensing is a very exciting field full of potential.



[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)



## Introduction



* [Nasa Worldview](https://worldview.earthdata.nasa.gov)

* [Landsat Viewer](http://landsatappv1p3.s3-website-us-west-2.amazonaws.com/)

* [Urthecast Gallery](http://gallery.urthecast.com/)

* [Earth as Art](http://www.nasa.gov/pdf/703154main_earth_art-ebook.pdf)

* [100 Remote Sensing applications](http://gisgeography.com/100-earth-remote-sensing-applications-uses/)

* [EO Map](http://eoapp.eomap.com/)

* [Orbital Insights](https://orbitalinsight.com/)

* [Sentinel and Landsat Browser](https://remotepixel.ca/projects/satellitesearch.html)

* [DigitalGlobe Crowdsourced Detection](http://www.tomnod.com/)

* [Watching penguins and their poo from space](http://www.bbc.com/earth/story/20141210-surprising-use-of-penguin-poo)

* [Awesome Vegetation Index](https://github.com/px39n/Awesome-Vegetation-Index)

## Tools, Libraries



* [QGIS](http://qgis.org/en/site/) - open source GIS 

* [Orfeo Toolbox](https://www.orfeo-toolbox.org/)

* [SNAP](http://step.esa.int/main/toolboxes/snap/) - open source earth observivation application

* [OSGeo4W](https://trac.osgeo.org/osgeo4w/) open source geospatial tools for Windows

* [GDAL](http://www.gdal.org/) geospatial analysis library



## Projects



* [OSMDeepOD](https://github.com/geometalab/OSMDeepOD) - OSM and Deep Learning based Object Detection from Aerial Imagery (formerly known as "OSM-Crosswalk-Detection")

* [DeepOSM](https://github.com/trailbehind/DeepOSM) - detecting roads in satellite images using deep learning

* [Skynet-Data](https://github.com/developmentseed/skynet-data) - Data pipeline for machine learning with OpenStreetMap

* [CosmiqNet - Patrick Hagerty](https://gist.github.com/hagerty) - skeleton of convolutional neural network for detecting building outlines

* [Terrapattern on Github](https://github.com/CreativeInquiry/terrapattern) - satellite image pattern search

* [Terrapattern](http://www.terrapattern.com/about) - satellite image search based on patterns



## Data



* [Scihub Copernicus](https://scihub.copernicus.eu/)

* [NASA Earthdata](https://earthdata.nasa.gov/earth-observation-data)

* [15 Data Sources](http://gisgeography.com/free-satellite-imagery-data-list/)

* [AstroDigital](https://fetch.astrodigital.com)

* [Sentinel2 on AWS](https://aws.amazon.com/public-datasets/sentinel-2/)



## Courses



* [Futurelearn Monitoring Oceans from Space](https://www.futurelearn.com/courses/oceans-from-space/1)

* [Futurelearn Optical Earth Observation](https://www.futurelearn.com/courses/optical-earth-observation)

* [Futurelearn Monitoring Climate from Space](https://www.futurelearn.com/courses/climate-from-space)

* [Coursera Imager,Automation and Applications](https://www.coursera.org/learn/gis-applications)

* [Coursera Geospatial Analysis](https://www.coursera.org/learn/gis-capstone)

* [Learn Earth Observation](http://www.learn-eo.org/index.php)

* [Udacity Computer Vision](https://classroom.udacity.com/courses/ud810/)

* [PyimageSearch - Learn OpenCV](http://www.pyimagesearch.com/start-here-learn-computer-vision-opencv/)



## Object Detection



* [Neural net dreaming of cars](https://orbitalinsight.com/neural-net-dreams-cars/)

* [Tracking Oil Tanks](https://medium.com/from-the-macroscope/the-science-behind-the-signal-tracking-unknown-oil-tanks-around-the-world-9fc917e25795)

* [Object Detection on Spacenet data](https://medium.com/the-downlinq/object-detection-on-spacenet-5e691961d257#.b03fcas3i)

* [Object Detection from satellite imagery](https://medium.com/the-downlinq/object-detection-in-satellite-imagery-a-low-overhead-approach-part-ii-893f40122f92#.rcnyseewi)

* [Searching for aliens](http://www.machinalis.com/blog/searching-for-aliens/)

* [Blob detection using OpenCV](https://www.learnopencv.com/blob-detection-using-opencv-python-c/)

* [Mapping cemeteries using UAV](http://www.directionsmag.com/entry/uas-mapping-of-cemeteWetlandsthe-czech-republic/388595)

* [NVIDIA Object Detection using DIGITS](https://devblogs.nvidia.com/parallelforall/exploring-spacenet-dataset-using-digits/)

* [Object Detection using Detectnet Neural Network](https://devblogs.nvidia.com/parallelforall/detectnet-deep-neural-network-object-detection-digits/)

* [DigitalGlobe MLTools](https://github.com/DigitalGlobe/mltools)

* [DigitalGlobe DeepCore SDK](https://github.com/DigitalGlobe/DeepCore)



## Research



* [Python based object Image Analysis](http://www.mdpi.com/2072-4292/6/7/6111/htm)

* [Mapping regional economic activity from night-time light satellite imagery](http://www.sciencedirect.com/science/article/pii/S0921800905001254)

* [SSD - Multibox Detection](https://arxiv.org/abs/1512.02325)

* [Oil Spill Detection using SAR and Mathemtical Morphology](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.3086)

* [Oil Spill Detection using SAR](https://pdfs.semanticscholar.org/ed90/eb344aa14b91321fd30d44a806c0ff6e3b39.pdf)

* [Building Detection - Yuan 2016](https://arxiv.org/pdf/1602.06564v1.pdf)



## Books



* [QGis Python Programming Cookbook](https://www.packtpub.com/application-development/qgis-python-programming-cookbook)

* [Szeliszki - Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)



## Computer Vision



* [Point Clouds](http://pointclouds.org)

* [Motion Detection](http://www.pyimagesearch.com/2015/05/25/basic-motion-detection-and-tracking-with-python-and-opencv/)



## Water Quality



* [Water Quality inland water](http://www.mcilvainecompany.com/Decision_Tree/subscriber/articles/Water_Quality_in_Slightly_Polluted_Inland_Water_Body.pdf)



## Misc



* [Building Detection in the Spacenet Satellite Imagery Dataset using Single Shot MultiBox Detector (SSD)](https://github.com/aurotripathy/ssd-spacenet)

* [Nimbix Scientific VMs on Demand](https://www.nimbix.net/nimbix-cloud-demand-pricing)

* [NASA Gibs](https://github.com/nasa-gibs)