Useing clipmate to copy prel clips full#
This section full of great code and projects related to processing optical satellite imagery with Python.
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Python processing of optical imagery (non deep learning)
Useing clipmate to copy prel clips software#
This software forms a core component of a monitoring system based on EO data. eodatadown - The Earth Observation Data Downloader (EODataDown) is a tool for automatically downloading and processing EO data to an analysis ready data product.The tools are accessed using Python bindings. RSGISLib - The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets.Short tutorials and reference to useful software tools for the acquisition and processing of remote sensed Earth Observation data warrents its own section, the vast array of tools and processing software is incredible openeo-processes - Interoperable processes for openEO's big Earth observation cloud processing website.Open EO - openEO develops an open API to connect R, Python, JavaScript and other clients to big Earth observation cloud back-ends in a simple and unified way.At present I mention it here at the start only. OpenEO covers many of the bases, hard to know whether to break it into different categories, it has many components. You may also wish to navigate a search of the terms satellite-imagery and earth-observation to get the latest list of topics that have these terms in their headers The state of satellites - The satellite systems we use to capture, analyze, and distribute data about the Earth are improving every day, creating bold new opportunities for impact in global development.ESA newcomers guide - The aim of this guide is to help non-experts in providing a starting point in the decision process for selecting an appropriate Earth Observation (EO) solution.Earth Observation Text books - Earth Observation: Data, Processing and Applications is an Australian Earth Observation (EO) community undertaking to describe EO data, processing and applications in an Australian context and includes a wide range of local case studies to demonstrate Australia’s increasing usage of EO data.
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I didn't initially aim at including links like these but if you are not familiar with Earth Observation then some good resources to get you going may help prior to diving into code. If you are not familiar with Earth Observation then these links may help set context before you start using data. | Interesting Non EO parts Python | Interesting Non EO parts other languages | Data | A footnote on awesome Start Here Earth Observation Introduction These sections are non EO code specific, but included to be relevant | Open EO | | Python processing | Resources for R | Languages other than Python and R | Training and Learning | Deep Learning & Machine Learning | GDAL of course | Earth Observation coding on YouTube | Google Earth Engine | Open Data Cube | Planetary Computer | QGIS and Grass | Climate & Weather resources | DEM projects | SAR | LiDAR | GEDI | InSAR | Landuse | Visualisation | EO code Competitions | ARD links | Useful EO code based twitter accounts | List of Great GitHub accounts | EO Geospatial companies or orgs making big contributions | Alastair Graham and Andrew Cutts come together to present an informal podcast looking at the world of modern remote sensing and EO.įuelled by their passion for all things raster and geospatial, the #scenefromabove podcast aims to be a mix of news, opinion, discussion and interviews.