{"id":13613869,"url":"https://github.com/attibalazs/awesome-remote-sensing","last_synced_at":"2025-04-13T18:31:44.366Z","repository":{"id":22313982,"uuid":"73199834","full_name":"attibalazs/awesome-remote-sensing","owner":"attibalazs","description":"Collection of Remote Sensing Resources","archived":false,"fork":false,"pushed_at":"2022-02-28T19:13:45.000Z","size":5,"stargazers_count":108,"open_issues_count":1,"forks_count":17,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-12T10:01:56.790Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/attibalazs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-11-08T15:30:13.000Z","updated_at":"2025-04-04T14:03:14.000Z","dependencies_parsed_at":"2022-07-23T17:53:22.163Z","dependency_job_id":null,"html_url":"https://github.com/attibalazs/awesome-remote-sensing","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/attibalazs%2Fawesome-remote-sensing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/attibalazs%2Fawesome-remote-sensing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/attibalazs%2Fawesome-remote-sensing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/attibalazs%2Fawesome-remote-sensing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/attibalazs","download_url":"https://codeload.github.com/attibalazs/awesome-remote-sensing/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248760399,"owners_count":21157349,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-01T20:00:54.350Z","updated_at":"2025-04-13T18:31:44.341Z","avatar_url":"https://github.com/attibalazs.png","language":null,"funding_links":[],"categories":["Other Lists","A footnote on awesome","Data Science","Citation"],"sub_categories":["TeX Lists","GEDI","Datasets table"],"readme":"# awesome-remote-sensing\n\nRemote Sensing is a very exciting field full of potential.\n\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\n## Introduction\n\n* [Nasa Worldview](https://worldview.earthdata.nasa.gov)\n* [Landsat Viewer](http://landsatappv1p3.s3-website-us-west-2.amazonaws.com/)\n* [Urthecast Gallery](http://gallery.urthecast.com/)\n* [Earth as Art](http://www.nasa.gov/pdf/703154main_earth_art-ebook.pdf)\n* [100 Remote Sensing applications](http://gisgeography.com/100-earth-remote-sensing-applications-uses/)\n* [EO Map](http://eoapp.eomap.com/)\n* [Orbital Insights](https://orbitalinsight.com/)\n* [Sentinel and Landsat Browser](https://remotepixel.ca/projects/satellitesearch.html)\n* [DigitalGlobe Crowdsourced Detection](http://www.tomnod.com/)\n* [Watching penguins and their poo from space](http://www.bbc.com/earth/story/20141210-surprising-use-of-penguin-poo)\n* [Awesome Vegetation Index](https://github.com/px39n/Awesome-Vegetation-Index)\n## Tools, Libraries\n\n* [QGIS](http://qgis.org/en/site/) - open source GIS \n* [Orfeo Toolbox](https://www.orfeo-toolbox.org/)\n* [SNAP](http://step.esa.int/main/toolboxes/snap/) - open source earth observivation application\n* [OSGeo4W](https://trac.osgeo.org/osgeo4w/) open source geospatial tools for Windows\n* [GDAL](http://www.gdal.org/) geospatial analysis library\n\n\n## Projects\n\n* [OSMDeepOD](https://github.com/geometalab/OSMDeepOD) - OSM and Deep Learning based Object Detection from Aerial Imagery (formerly known as \"OSM-Crosswalk-Detection\")\n* [DeepOSM](https://github.com/trailbehind/DeepOSM) - detecting roads in satellite images using deep learning\n* [Skynet-Data](https://github.com/developmentseed/skynet-data) - Data pipeline for machine learning with OpenStreetMap\n* [CosmiqNet - Patrick Hagerty](https://gist.github.com/hagerty) - skeleton of convolutional neural network for detecting building outlines\n* [Terrapattern on Github](https://github.com/CreativeInquiry/terrapattern) - satellite image pattern search\n* [Terrapattern](http://www.terrapattern.com/about) - satellite image search based on patterns\n\n## Data\n\n* [Scihub Copernicus](https://scihub.copernicus.eu/)\n* [NASA Earthdata](https://earthdata.nasa.gov/earth-observation-data)\n* [15 Data Sources](http://gisgeography.com/free-satellite-imagery-data-list/)\n* [AstroDigital](https://fetch.astrodigital.com)\n* [Sentinel2 on AWS](https://aws.amazon.com/public-datasets/sentinel-2/)\n\n## Courses\n\n* [Futurelearn Monitoring Oceans from Space](https://www.futurelearn.com/courses/oceans-from-space/1)\n* [Futurelearn Optical Earth Observation](https://www.futurelearn.com/courses/optical-earth-observation)\n* [Futurelearn Monitoring Climate from Space](https://www.futurelearn.com/courses/climate-from-space)\n* [Coursera Imager,Automation and Applications](https://www.coursera.org/learn/gis-applications)\n* [Coursera Geospatial Analysis](https://www.coursera.org/learn/gis-capstone)\n* [Learn Earth Observation](http://www.learn-eo.org/index.php)\n* [Udacity Computer Vision](https://classroom.udacity.com/courses/ud810/)\n* [PyimageSearch - Learn OpenCV](http://www.pyimagesearch.com/start-here-learn-computer-vision-opencv/)\n\n## Object Detection\n\n* [Neural net dreaming of cars](https://orbitalinsight.com/neural-net-dreams-cars/)\n* [Tracking Oil Tanks](https://medium.com/from-the-macroscope/the-science-behind-the-signal-tracking-unknown-oil-tanks-around-the-world-9fc917e25795)\n* [Object Detection on Spacenet data](https://medium.com/the-downlinq/object-detection-on-spacenet-5e691961d257#.b03fcas3i)\n* [Object Detection from satellite imagery](https://medium.com/the-downlinq/object-detection-in-satellite-imagery-a-low-overhead-approach-part-ii-893f40122f92#.rcnyseewi)\n* [Searching for aliens](http://www.machinalis.com/blog/searching-for-aliens/)\n* [Blob detection using OpenCV](https://www.learnopencv.com/blob-detection-using-opencv-python-c/)\n* [Mapping cemeteries using UAV](http://www.directionsmag.com/entry/uas-mapping-of-cemeteWetlandsthe-czech-republic/388595)\n* [NVIDIA Object Detection using DIGITS](https://devblogs.nvidia.com/parallelforall/exploring-spacenet-dataset-using-digits/)\n* [Object Detection using Detectnet Neural Network](https://devblogs.nvidia.com/parallelforall/detectnet-deep-neural-network-object-detection-digits/)\n* [DigitalGlobe MLTools](https://github.com/DigitalGlobe/mltools)\n* [DigitalGlobe DeepCore SDK](https://github.com/DigitalGlobe/DeepCore)\n\n## Research\n\n* [Python based object Image Analysis](http://www.mdpi.com/2072-4292/6/7/6111/htm)\n* [Mapping regional economic activity from night-time light satellite imagery](http://www.sciencedirect.com/science/article/pii/S0921800905001254)\n* [SSD - Multibox Detection](https://arxiv.org/abs/1512.02325)\n* [Oil Spill Detection using SAR and Mathemtical Morphology](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.3086)\n* [Oil Spill Detection using SAR](https://pdfs.semanticscholar.org/ed90/eb344aa14b91321fd30d44a806c0ff6e3b39.pdf)\n* [Building Detection - Yuan 2016](https://arxiv.org/pdf/1602.06564v1.pdf)\n\n## Books\n\n* [QGis Python Programming Cookbook](https://www.packtpub.com/application-development/qgis-python-programming-cookbook)\n* [Szeliszki - Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)\n\n## Computer Vision\n\n* [Point Clouds](http://pointclouds.org)\n* [Motion Detection](http://www.pyimagesearch.com/2015/05/25/basic-motion-detection-and-tracking-with-python-and-opencv/)\n\n## Water Quality\n\n* [Water Quality inland water](http://www.mcilvainecompany.com/Decision_Tree/subscriber/articles/Water_Quality_in_Slightly_Polluted_Inland_Water_Body.pdf)\n\n## Misc\n\n* [Building Detection in the Spacenet Satellite Imagery Dataset using Single Shot MultiBox Detector (SSD)](https://github.com/aurotripathy/ssd-spacenet)\n* [Nimbix Scientific VMs on Demand](https://www.nimbix.net/nimbix-cloud-demand-pricing)\n* [NASA Gibs](https://github.com/nasa-gibs)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fattibalazs%2Fawesome-remote-sensing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fattibalazs%2Fawesome-remote-sensing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fattibalazs%2Fawesome-remote-sensing/lists"}