![\"\"](\"https://airbus-h.assetsadobe2.com/is/image/content/dam/channel-specific/website-/products-and-services/space/earth-observation-satellites/Sentinel-5-Precursor-inOrbit-Copyright-Max-Alexander-Airbus2017.jpg?wid=1196&fit=fit,1\")
\nFor everyone’s reference. I already separated a material for this great competition! Going to be adding here more as I keep searching!\nFor everyone’s reference. I already separated a material for this great competition! Going to be adding here more as I keep searching!
Resources for deep learning with satellite & aerial imagery
\n\n👍 ✔️ Thanks Everyone✔️
", "messages": [ { "id": "749629", "postDate": "02/18/2020 20:24:29", "content": "\nFor everyone’s reference. I already separated a material for this great competition! Going to be adding here more as I keep searching!
Resources for deep learning with satellite & aerial imagery
\n\n👍 ✔️ Thanks Everyone✔️
", "rawMarkdown": "\nFor everyone’s reference. I already separated a material for this great competition! Going to be adding here more as I keep searching!\n\n-[Satellite Sensors. At Satellite Imaging Corporation, we use cutting-edge satellite imaging technology to meet the needs of a wide variety of industries.](https://www.satimagingcorp.com/satellite-sensors/)\n\n### Libraries for a modern geospatial workflow\n------------------------------------------\n\n- [Resources for deep learning with satellite & aerial imagery](https://github.com/robmarkcole/satellite-image-deep-learning)\n### Distribution\n\n- [Writing, Running, and Distributing](https://sgillies.github.io/talks/georodeo-2015-write-run-dist-pygis/#/)\n- [Tox driven development](http://www.boronine.com/2012/11/15/Tox-Driven-Python-Development/)\n- [Publishing python libraries](https://www.endgame.com/blog/open-sourcing-your-own-python-library-101)\n\n### Numpy\n\n- [Introduction to Numpy](http://www.python-course.eu/numpy.php)\n- [Using Numpy Arrays](https://www.youtube.com/watch?v=vWkb7VahaXQ)\n- [Array Creation](http://docs.scipy.org/doc/numpy/user/basics.creation.html#arrays-creation)\n- [Creating and manipulating numerical data](https://scipy-lectures.github.io/intro/numpy/index.html)\n- [Multi-dimensional arrays](http://www.linuxtopia.org/online_books/programming_books/python_programming/python_ch20s05.html)\n- [Numpy tutorial I](https://cs231n.github.io/python-numpy-tutorial/)\n- [Numpy tutorial II](http://www.labri.fr/perso/nrougier/teaching/numpy/numpy.html)\n- [An introduction to Numpy and Scipy](http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf)\n- [Image processing with Numpy and Scipy](https://scipy-lectures.github.io/advanced/image_processing/)\n- [Raster calculations with numpy.where](https://gis.stackexchange.com/questions/32995/fully-load-raster-into-a-numpy-array)\n- [Raster calculations](https://automating-gis-processes.github.io/CSC18/lessons/L6/raster-calculations.html)\n- [Efficient computing with Numpy - Video](https://youtu.be/ZB7BZMhfPgk)\n- [Efficient computing with Numpy - Notebook](http://www.astro.washington.edu/users/vanderplas/Astr599/notebooks/11_EfficientNumpy)\n- [Neural Networks (lots of Numpy)](https://cs231n.github.io/)\n\n### [Rasterio](https://github.com/mapbox/rasterio/)\n\n- [Getting shapes of raster features](https://rasterio.readthedocs.io/en/latest/topics/features.html)\n- [Warping images](https://subscription.packtpub.com/book/application_development/9781785283932/1/ch01lvl1sec16/image-warping)\n- [Masking rasterio layers with vector features](http://snorf.net/blog/2014/11/09/masking-rasterio-layers-with-vector-features/)\n- [Rasterio tutorial](https://github.com/dutri001/pyLandsat/blob/gh-pages/rasterio_tutorial.ipynb)\n- [Calculating NDVI I](https://gis.stackexchange.com/questions/138914/calculating-ndvi-with-rasterio)\n- [Calculating NDVI II](https://gis.stackexchange.com/questions/347175/calculating-ndvi-using-rasterio-python?rq=1)\n- [Rasterio cheat sheet](https://github.com/sgillies/frs-cheat-sheet)\n\n### [Fiona](https://github.com/Toblerity/Fiona)\n\n### [Xray](https://xray.readthedocs.org/en/stable/)\n\n- [Introducing xray (video)](https://www.youtube.com/watch?v=T5CZyNwBa9c)\n\n### [Pandas](http://pandas.pydata.org/)\n\n### [Geopandas](http://geopandas.org/)\n\n### [python-raster-stats](https://github.com/perrygeo/python-raster-stats)\n\n### [pyimpute](https://github.com/perrygeo/pyimpute)\n\n\nWorkflows\n---------\n\n### Processing satellite imagery\n\n- [Analyzing Satellite Images with Python](https://github.com/HyperionAnalytics/PyDataNYC2014)\n - [Interacting with bands](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/landsat8_bands.ipynb)\n - [Color processing](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/color_image_processing.ipynb)\n - [Panchromatic sharpening](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/panchromatic_sharpening.ipynb)\n - [NDVI](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/ndvi_calculation.ipynb)\n\n### Machine Learning\n\n- [Materials for Machine Learning](http://www.jacksimpson.co/2015/06/07/materials-for-learning-machine-learning/)\n- [Introductory playlist](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)\n\n#### [Scikit-learn](http://scikit-learn.org/stable/)\n\n- PyCon 2015 Scikit-learn tutorial\n - [Repo](https://github.com/jakevdp/sklearn_pycon2015)\n - [Video](https://www.youtube.com/watch?v=L7R4HUQ-eQ0)\n- [Machine learning for Astronomy with Scikit-learn](http://www.astroml.org/sklearn_tutorial/)\n\n#### [Scikit-image](http://scikit-image.org/)\n\n- [Using Scikit-image](https://scipy-lectures.github.io/packages/scikit-image/)\n- [Image processing with Scikit-image](http://blog.yhathq.com/posts/image-processing-with-scikit-image.html)\n\n[Python must-watch](https://github.com/s16h/py-must-watch)\n\n[source](https://gist.github.com/jacquestardie/0d1c0cb413b3b9b06edf)\n\n👍 ✔️ Thanks Everyone✔️", "votes": null }, { "id": "750226", "postDate": "02/19/2020 07:58:39", "content": "cool
", "rawMarkdown": "cool", "votes": null }, { "id": "750558", "postDate": "02/19/2020 14:01:35", "content": "Thanks for Sharing
", "rawMarkdown": "Thanks for Sharing", "votes": null }, { "id": "751095", "postDate": "02/20/2020 01:53:30", "content": "Thanks @sanku758 Waiting your great notebook for this comp
", "rawMarkdown": "Thanks @sanku758 Waiting your great notebook for this comp", "votes": null }, { "id": "751097", "postDate": "02/20/2020 01:53:53", "content": "Keep going @aravindhkv123 ! Pls share your useful links here ! Thanks!
", "rawMarkdown": "Keep going @aravindhkv123 ! Pls share your useful links here ! Thanks!", "votes": null }, { "id": "751893", "postDate": "02/20/2020 16:04:25", "content": "Thanks for sharing, looks like a lot of learning to do !
", "rawMarkdown": "Thanks for sharing, looks like a lot of learning to do !", "votes": null }, { "id": "752278", "postDate": "02/20/2020 20:41:17", "content": "thanks @hassanamin ! Yes, very informative topic !, waiting for your work about outlier detection!
", "rawMarkdown": "thanks @hassanamin ! Yes, very informative topic !, waiting for your work about outlier detection!", "votes": null }, { "id": "752647", "postDate": "02/21/2020 08:52:52", "content": "I wanted to write a bit about that, but seems like my post doesn't want me to add anything else. So thanks for posting this!
\n\nThough, that image you've shown is a Soyuz, which isn't really known for doing Earth Observation, it's the Russian crewed spacecraft to send humans into space. Not really the best example of a satellite for Earth Observation, even if I do agree that it makes for great pictures ;)
\n\nYou might want to get Sentinel 5 instead for example, which is actually used to take the some of the images in this competition.
", "rawMarkdown": "I wanted to write a bit about that, but seems like my post doesn't want me to add anything else. So thanks for posting this!\n\nThough, that image you've shown is a Soyuz, which isn't really known for doing Earth Observation, it's the Russian crewed spacecraft to send humans into space. Not really the best example of a satellite for Earth Observation, even if I do agree that it makes for great pictures ;)\n\nYou might want to get [Sentinel 5](https://airbus-h.assetsadobe2.com/is/image/content/dam/channel-specific/website-/products-and-services/space/earth-observation-satellites/Sentinel-5-Precursor-inOrbit-Copyright-Max-Alexander-Airbus2017.jpg?wid=1196&fit=fit,1) instead for example, which is actually used to take the some of the images in this competition.", "votes": null }, { "id": "752683", "postDate": "02/21/2020 09:52:06", "content": "Good
", "rawMarkdown": "Good", "votes": null }, { "id": "752828", "postDate": "02/21/2020 12:58:14", "content": "You' re helped me a lot ! Thanks buddy ! Done, now we have the Sentinel 5 in the post!
", "rawMarkdown": "You' re helped me a lot ! Thanks buddy ! Done, now we have the Sentinel 5 in the post!", "votes": null }, { "id": "752830", "postDate": "02/21/2020 12:59:37", "content": "Please share my tips for us @maxlenormand !You Are expert in this comp ! Share more about outliers detection and workflow in Satellite imagery pls.
", "rawMarkdown": "Please share my tips for us @maxlenormand !You Are expert in this comp ! Share more about outliers detection and workflow in Satellite imagery pls.", "votes": null }, { "id": "752832", "postDate": "02/21/2020 13:01:22", "content": "Thanks @smithjj! COnsider see this tips about outlier detection if you like.\nmy topics about outliers:
\n\nThanks! Very glad you think so, but by no means am I an expert in this field, I'm just starting! But I'll try what I can, I think this competition is really interesting, and if I can use it to give back to the community, I'd love to try! :)
", "rawMarkdown": "Thanks! Very glad you think so, but by no means am I an expert in this field, I'm just starting! But I'll try what I can, I think this competition is really interesting, and if I can use it to give back to the community, I'd love to try! :)", "votes": null }, { "id": "754201", "postDate": "02/23/2020 07:57:10", "content": "sir,\n some of these links are not working
", "rawMarkdown": "sir,\n some of these links are not working", "votes": null }, { "id": "754370", "postDate": "02/23/2020 13:20:54", "content": "Done brother ! @sifatshikdar, thanks for the information !
", "rawMarkdown": "Done brother ! @sifatshikdar, thanks for the information !", "votes": null } ], "comments": [ { "id": 750226, "author_name": "sanku758", "author_url": "", "post_date": "02/19/2020 07:58:39", "content": "cool
", "votes": null, "replies": [ { "id": 751095, "author_name": "caesarlupum", "author_url": "", "post_date": "02/20/2020 01:53:30", "content": "Thanks @sanku758 Waiting your great notebook for this comp
", "votes": null, "replies": [] } ] }, { "id": 750558, "author_name": "aravindhkv123", "author_url": "", "post_date": "02/19/2020 14:01:35", "content": "Thanks for Sharing
", "votes": null, "replies": [ { "id": 751097, "author_name": "caesarlupum", "author_url": "", "post_date": "02/20/2020 01:53:53", "content": "Keep going @aravindhkv123 ! Pls share your useful links here ! Thanks!
", "votes": null, "replies": [] } ] }, { "id": 751893, "author_name": "hassanamin", "author_url": "", "post_date": "02/20/2020 16:04:25", "content": "Thanks for sharing, looks like a lot of learning to do !
", "votes": null, "replies": [ { "id": 752278, "author_name": "caesarlupum", "author_url": "", "post_date": "02/20/2020 20:41:17", "content": "thanks @hassanamin ! Yes, very informative topic !, waiting for your work about outlier detection!
", "votes": null, "replies": [] } ] }, { "id": 752647, "author_name": "maxlenormand", "author_url": "", "post_date": "02/21/2020 08:52:52", "content": "I wanted to write a bit about that, but seems like my post doesn't want me to add anything else. So thanks for posting this!
\n\nThough, that image you've shown is a Soyuz, which isn't really known for doing Earth Observation, it's the Russian crewed spacecraft to send humans into space. Not really the best example of a satellite for Earth Observation, even if I do agree that it makes for great pictures ;)
\n\nYou might want to get Sentinel 5 instead for example, which is actually used to take the some of the images in this competition.
", "votes": null, "replies": [ { "id": 752828, "author_name": "caesarlupum", "author_url": "", "post_date": "02/21/2020 12:58:14", "content": "You' re helped me a lot ! Thanks buddy ! Done, now we have the Sentinel 5 in the post!
", "votes": null, "replies": [] }, { "id": 752830, "author_name": "caesarlupum", "author_url": "", "post_date": "02/21/2020 12:59:37", "content": "Please share my tips for us @maxlenormand !You Are expert in this comp ! Share more about outliers detection and workflow in Satellite imagery pls.
", "votes": null, "replies": [] }, { "id": 752989, "author_name": "maxlenormand", "author_url": "", "post_date": "02/21/2020 15:47:51", "content": "Thanks! Very glad you think so, but by no means am I an expert in this field, I'm just starting! But I'll try what I can, I think this competition is really interesting, and if I can use it to give back to the community, I'd love to try! :)
", "votes": null, "replies": [] } ] }, { "id": 752683, "author_name": "", "author_url": "", "post_date": "02/21/2020 09:52:06", "content": "Good
", "votes": null, "replies": [ { "id": 752832, "author_name": "caesarlupum", "author_url": "", "post_date": "02/21/2020 13:01:22", "content": "Thanks @smithjj! COnsider see this tips about outlier detection if you like.\nmy topics about outliers:
\n\nsir,\n some of these links are not working
", "votes": null, "replies": [ { "id": 754370, "author_name": "caesarlupum", "author_url": "", "post_date": "02/23/2020 13:20:54", "content": "Done brother ! @sifatshikdar, thanks for the information !
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "749629": "\nFor everyone’s reference. I already separated a material for this great competition! Going to be adding here more as I keep searching!\n\n-[Satellite Sensors. At Satellite Imaging Corporation, we use cutting-edge satellite imaging technology to meet the needs of a wide variety of industries.](https://www.satimagingcorp.com/satellite-sensors/)\n\n### Libraries for a modern geospatial workflow\n------------------------------------------\n\n- [Resources for deep learning with satellite & aerial imagery](https://github.com/robmarkcole/satellite-image-deep-learning)\n### Distribution\n\n- [Writing, Running, and Distributing](https://sgillies.github.io/talks/georodeo-2015-write-run-dist-pygis/#/)\n- [Tox driven development](http://www.boronine.com/2012/11/15/Tox-Driven-Python-Development/)\n- [Publishing python libraries](https://www.endgame.com/blog/open-sourcing-your-own-python-library-101)\n\n### Numpy\n\n- [Introduction to Numpy](http://www.python-course.eu/numpy.php)\n- [Using Numpy Arrays](https://www.youtube.com/watch?v=vWkb7VahaXQ)\n- [Array Creation](http://docs.scipy.org/doc/numpy/user/basics.creation.html#arrays-creation)\n- [Creating and manipulating numerical data](https://scipy-lectures.github.io/intro/numpy/index.html)\n- [Multi-dimensional arrays](http://www.linuxtopia.org/online_books/programming_books/python_programming/python_ch20s05.html)\n- [Numpy tutorial I](https://cs231n.github.io/python-numpy-tutorial/)\n- [Numpy tutorial II](http://www.labri.fr/perso/nrougier/teaching/numpy/numpy.html)\n- [An introduction to Numpy and Scipy](http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf)\n- [Image processing with Numpy and Scipy](https://scipy-lectures.github.io/advanced/image_processing/)\n- [Raster calculations with numpy.where](https://gis.stackexchange.com/questions/32995/fully-load-raster-into-a-numpy-array)\n- [Raster calculations](https://automating-gis-processes.github.io/CSC18/lessons/L6/raster-calculations.html)\n- [Efficient computing with Numpy - Video](https://youtu.be/ZB7BZMhfPgk)\n- [Efficient computing with Numpy - Notebook](http://www.astro.washington.edu/users/vanderplas/Astr599/notebooks/11_EfficientNumpy)\n- [Neural Networks (lots of Numpy)](https://cs231n.github.io/)\n\n### [Rasterio](https://github.com/mapbox/rasterio/)\n\n- [Getting shapes of raster features](https://rasterio.readthedocs.io/en/latest/topics/features.html)\n- [Warping images](https://subscription.packtpub.com/book/application_development/9781785283932/1/ch01lvl1sec16/image-warping)\n- [Masking rasterio layers with vector features](http://snorf.net/blog/2014/11/09/masking-rasterio-layers-with-vector-features/)\n- [Rasterio tutorial](https://github.com/dutri001/pyLandsat/blob/gh-pages/rasterio_tutorial.ipynb)\n- [Calculating NDVI I](https://gis.stackexchange.com/questions/138914/calculating-ndvi-with-rasterio)\n- [Calculating NDVI II](https://gis.stackexchange.com/questions/347175/calculating-ndvi-using-rasterio-python?rq=1)\n- [Rasterio cheat sheet](https://github.com/sgillies/frs-cheat-sheet)\n\n### [Fiona](https://github.com/Toblerity/Fiona)\n\n### [Xray](https://xray.readthedocs.org/en/stable/)\n\n- [Introducing xray (video)](https://www.youtube.com/watch?v=T5CZyNwBa9c)\n\n### [Pandas](http://pandas.pydata.org/)\n\n### [Geopandas](http://geopandas.org/)\n\n### [python-raster-stats](https://github.com/perrygeo/python-raster-stats)\n\n### [pyimpute](https://github.com/perrygeo/pyimpute)\n\n\nWorkflows\n---------\n\n### Processing satellite imagery\n\n- [Analyzing Satellite Images with Python](https://github.com/HyperionAnalytics/PyDataNYC2014)\n - [Interacting with bands](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/landsat8_bands.ipynb)\n - [Color processing](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/color_image_processing.ipynb)\n - [Panchromatic sharpening](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/panchromatic_sharpening.ipynb)\n - [NDVI](http://nbviewer.ipython.org/github/HyperionAnalytics/PyDataNYC2014/blob/master/ndvi_calculation.ipynb)\n\n### Machine Learning\n\n- [Materials for Machine Learning](http://www.jacksimpson.co/2015/06/07/materials-for-learning-machine-learning/)\n- [Introductory playlist](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)\n\n#### [Scikit-learn](http://scikit-learn.org/stable/)\n\n- PyCon 2015 Scikit-learn tutorial\n - [Repo](https://github.com/jakevdp/sklearn_pycon2015)\n - [Video](https://www.youtube.com/watch?v=L7R4HUQ-eQ0)\n- [Machine learning for Astronomy with Scikit-learn](http://www.astroml.org/sklearn_tutorial/)\n\n#### [Scikit-image](http://scikit-image.org/)\n\n- [Using Scikit-image](https://scipy-lectures.github.io/packages/scikit-image/)\n- [Image processing with Scikit-image](http://blog.yhathq.com/posts/image-processing-with-scikit-image.html)\n\n[Python must-watch](https://github.com/s16h/py-must-watch)\n\n[source](https://gist.github.com/jacquestardie/0d1c0cb413b3b9b06edf)\n\n👍 ✔️ Thanks Everyone✔️", "750226": "cool", "750558": "Thanks for Sharing", "751095": "Thanks @sanku758 Waiting your great notebook for this comp", "751097": "Keep going @aravindhkv123 ! Pls share your useful links here ! Thanks!", "751893": "Thanks for sharing, looks like a lot of learning to do !", "752278": "thanks @hassanamin ! Yes, very informative topic !, waiting for your work about outlier detection!", "752647": "I wanted to write a bit about that, but seems like my post doesn't want me to add anything else. So thanks for posting this!\n\nThough, that image you've shown is a Soyuz, which isn't really known for doing Earth Observation, it's the Russian crewed spacecraft to send humans into space. Not really the best example of a satellite for Earth Observation, even if I do agree that it makes for great pictures ;)\n\nYou might want to get [Sentinel 5](https://airbus-h.assetsadobe2.com/is/image/content/dam/channel-specific/website-/products-and-services/space/earth-observation-satellites/Sentinel-5-Precursor-inOrbit-Copyright-Max-Alexander-Airbus2017.jpg?wid=1196&fit=fit,1) instead for example, which is actually used to take the some of the images in this competition.", "752683": "Good", "752828": "You' re helped me a lot ! Thanks buddy ! Done, now we have the Sentinel 5 in the post!", "752830": "Please share my tips for us @maxlenormand !You Are expert in this comp ! Share more about outliers detection and workflow in Satellite imagery pls.", "752832": "Thanks @smithjj! COnsider see this tips about outlier detection if you like.\nmy topics about outliers: \n\n- [INTRO - Satellite imagery Analysis 📶 with a modern geospatial workflow🔘🌐 and Anomaly Detection in Satellite imagery 📶](https://www.kaggle.com/getting-started/131455)\n- [The top 57 Anomaly Detection Open Source Projects](https://www.kaggle.com/general/128356)\n- [Anomaly Detection in Satellite imagery 📶](https://www.kaggle.com/c/ds4g-environmental-insights-explorer/discussion/131201)", "752989": "Thanks! Very glad you think so, but by no means am I an expert in this field, I'm just starting! But I'll try what I can, I think this competition is really interesting, and if I can use it to give back to the community, I'd love to try! :)", "754201": "sir,\n some of these links are not working", "754370": "Done brother ! @sifatshikdar, thanks for the information !" }, "source": "meta" }