Projects

Here is the list of accepted project proposals. If you are student and interested in working on a project, get in touch with the mentor to ask about the details. Note that only a limited number of these projects will be finally selected and sponsored.

IDProject
1Land art with blockchain and satellites
Brief: Design-driven research into the extension of blockchain technologies into space and the use of satellite data to executing smart contracts.
Details: https://github.com/anonette/lithopia
Organization: SciArt: art, science and technology
Mentor(s): Denisa Kera (denisa.kera@usal.es)
2Drone data for smart contracts
Brief: How to utilize data from drones for blockchain based smart contracts.
Details: -
Organization: SciArt: art, science and technology
Mentor(s): Denisa Kera (denisa.kera@usal.es)
3GUI for satellite simulation in Octave
Brief: The candidate will combine simulations in Octave/Matlab under a GUI to produce mission-related data, and will be exposed to a variety of disciplines including: RF, comms, control and orbital mechanics
Details: http://www.albaorbital.com/careers
Organization: Alba Orbital Ltd.
Mentor(s): Adam Bell (adam@pocketqubeshop.com)
4GUI and communications in embedded C / C++ Python
Brief: Develop a command and control GUI for Unicorn-2 ground station. Develop a custom protocol for half-duplex satellite communications that can handle packet losses and correct errors.
Details: http://www.albaorbital.com/careers
Organization: Alba Orbital Ltd.
Mentor(s): Bence Nagy (bence@pocketqubeshop.com)
5Solar sailing design using ants intelligence.
Brief: Coding in pagmo a User Defined Algorithm (UDA), based on ant colony optimization and a User Defined Problem (UDP) representing a solar sail mission.
Details: https://github.com/esa/pagmo2/wiki/Project-Ideas
Organization: pagmo
Mentor(s): Dario Izzo (dario.izzo@esa.int)
6Earth-specific capabilities
Brief: Improve poliastro for Earth-bound trajectory analysis with features like launch windows and orbit injection, station-keeping and orbit correction maneuvers, TLE usage, groundtrack plotting, and more.
Details: https://openastronomy.org/gsoc/gsoc2019/#/projects?project=earth-specific_capabilities
Organization: poliastro
Mentor(s): Juan Luis Cano Rodríguez (hello@juanlu.space)
7poliastro-as-a-Service
Brief: Make a lighter version of poliastro by declaring some dependencies optional, create recipes to deploy poliastro in cloud services and PaaS using open standards (like Docker), deploy it.
Details: https://openastronomy.org/gsoc/gsoc2019/#/projects?project=poliastro-as-a-service
Organization: poliastro
Mentor(s): Juan Luis Cano Rodríguez (hello@juanlu.space)
8Validation framework
Brief: Validate poliastro against external software, such as SPICE, GMAT, and STK in an automatic way.
Details: https://openastronomy.org/gsoc/gsoc2019/#/projects?project=validation_framework
Organization: poliastro
Mentor(s): Juan Luis Cano Rodríguez (hello@juanlu.space)
9Improving the Jhelioviewer client using conditional replenishment
Brief: The use of conditional replenishment can reduce the traffic between JPIP servers and clients when temporal redundancy is present in the transmitted image sequence.
Details: https://github.com/P2PSP/ideas/blob/master/CR_JHV.md
Organization: P2PSP.org
Mentor(s): Vicente González-Ruiz (vruiz@ual.es)
10Super-resolution Imaging through High-frequency Subbands Prediction in the Wavelet Domain
Brief: Image super-resolution increases the quality of images. Such image enhancer can be interesting, among other applications, in remote sensing.
Details: https://github.com/P2PSP/ideas/blob/master/IS.md
Organization: P2PSP.org
Mentor(s): Vicente González-Ruiz (vruiz@ual.es)
11Multi-objective trajectory optimization for GTOP
Brief: The goal of this project is to make pykep ready to handle new types of trajectory optimization problems by providing advanced multi-objective search strategies and performance indicators.
Details: https://github.com/esa/pykep/wiki/Project-Ideas
Organization: Pykep
Mentor(s): Marcus Märtens (marcus.maertens@esa.int)
12Addition of null geodesics for Schwarzschild and Kerr Geometries
Brief: Null-geodesics is the path traced by light rays in 4D space-time. The aim is to calculate null geodesics around non-rotating(Schwarzschild) and rotating(Kerr) massive bodies.
Details: https://github.com/einsteinpy/einsteinpy/wiki/SOCIS-Ideas#addition-of-null-geodesics-for-schwarzschild-and-kerr-geometries
Organization: EinsteinPy
Mentor(s): Ritwik Saha (s.ritwik98@gmail.com)
13Extension of the library as a package for symbolic calculations
Brief: Symbolic GR should be developed as a separate module within the library and many other relevant quantities like Ricci Tensor, Ricci Scalar need to be added with the help of SymPy.
Details: https://github.com/einsteinpy/einsteinpy/wiki/SOCIS-Ideas#extension-of-the-library-as-a-package-for-symbolic-calculations
Organization: EinsteinPy
Mentor(s): Ritwik Saha (s.ritwik98@gmail.com)
14Visual Relativity using EinsteinPy
Brief: The project aims to introduce an interactive and dynamic plotting interface based on EinsteinPy & debug existing plotting functions. This also includes development of a web interface to show results.
Details: https://github.com/einsteinpy/einsteinpy/wiki/SOCIS-Ideas#visual-relativity-using-einsteinpy
Organization: EinsteinPy
Mentor(s): Shreyas Bapat (bapat.shreyas@gmail.com)
15Implementation of gravitational lensing in Schwarzschild hypersurface
Brief: Calculate and Plot the null trajectories and embedding hypersurface in the 4D space-time and simulate gravitational lensing due to Schwarzschild body.
Details: https://github.com/einsteinpy/einsteinpy/wiki/SOCIS-Ideas#implementation-of-gravitational-lensing-in-schwarzschild-hypersurface
Organization: EinsteinPy
Mentor(s): Bhavya Bhatt (bhavyabhatt17@gmail.com)
16Adaptive Mesh Refinement for EinsteinPy
Brief: Implement basic Adaptive Mesh Refinement (AMR) in EinsteinPy which would lay the foundation for planned future black hole simulations. Port any of the good existing solutions into the library.
Details: https://github.com/einsteinpy/einsteinpy/wiki/SOCIS-Ideas#adaptive-mesh-refinement-for-einsteinpy
Organization: EinsteinPy
Mentor(s): Priyanshu Khandelwal (priyanshukhandelwal0001@gmail.com)
17Orbit determination using SatNOGS network and Orekit
Brief: Prototype an Orbit Determination application based on Orekit and using Doppler shifts from SatNOGS antennas network.
Details: https://forum.orekit.org/t/project-proposal-for-socis-2019-orbit-determination-with-satnogs/421
Organization: Orekit
Mentor(s): Luc Maisonobe (luc@orekit.org)
18D-Bus Interface
Brief: There is an idea to enhance interoperability features between Stellarium and other open source astronomical software to make optimal use of the best features of each program.
Details: https://github.com/Stellarium/stellarium/wiki/Summer-of-Code-in-Space-2019#d-bus-interface
Organization: Stellarium
Mentor(s): Alexander Wolf (alex.v.wolf@gmail.com)
19Enhance our 3D viewer by ability to move individual scans to new positions and redistribute errors along tajectory
Brief: In unstructured environments with large loops, existing algorithms perform badly when attempting to determine corresponding poses, thus our viewer should be extended to let humans perform this task.
Details: http://slam6d.sourceforge.net/socis2019.html
Organization: 3DTK
Mentor(s): Johannes Schauer (johannes.schauer@uni-wuerzburg.de)
20Mission Design Module
Brief: Extend mission design capabilities of the Tudat software, generalize the interfaces of existing mission design (semi-)analytical and numerical modules, and implement additional functionality.
Details: http://tudat.tudelft.nl/socis.html
Organization: Delft University Of Technology
Mentor(s): Dominic Dirkx (d.dirkx@tudelft.nl)
21Optimization Module and Interface
Brief: Developing an interface for the generic definition of optimization criteria (objectives, parameters, constraints), to be computed by the existing Tudat modules, and linked to the Pagmo2 algorithms.
Details: http://tudat.tudelft.nl/socis.html
Organization: Delft University Of Technology
Mentor(s): Dominic Dirkx (d.dirkx@tudelft.nl)
22Python Interface
Brief: The interface of Tudat is currently C++-only, with limited functionality available via a JSON-file interface. This project will develop a Python interface to access selected functionality of Tudat.
Details: http://tudat.tudelft.nl/socis.html
Organization: Delft University Of Technology
Mentor(s): Dominic Dirkx (d.dirkx@tudelft.nl)
23Interplanetary Doppler Data Analysis
Brief: Extend Tudat to be able to read and process Doppler tracking data from deep space tracking (e.g. DSN, ESTRACK) stations, and use these data for planetary spacecraft orbit determination.
Details: http://tudat.tudelft.nl/socis.html
Organization: Delft University Of Technology
Mentor(s): Dominic Dirkx (d.dirkx@tudelft.nl)
24Advanced Cloud Detection
Brief: Commercial satellite imagery has varying degrees of cloud mask quality. We believe ML/ AI can be combined with external data sources (weather, basemaps, etc) to advance cloud detection capabilities.
Details: -
Organization: SkyWatch
Mentor(s): Luis Veci (luis@skywatch.co)
25Location reverse image search
Brief: Given an unreferenced image, predict the location it represents. This is a project that's been requested by law enforcement to help them connect images in their possession to suspects and locations.
Details: -
Organization: SkyWatch
Mentor(s): Luis Veci (luis@skywatch.co)
263D Satellite Collection Animation
Brief: Combine collected and predicted future EO collection thumbnails into a 3d animation that tracks selected constellations and their data collections within a time series.
Details: -
Organization: SkyWatch
Mentor(s): Joel Cumming (joel@skywatch.co)
27NLP EO Data Search
Brief: Create the ability to search and retrieve EO sources via natural language. For example "find all images between Jan. 1 and Jan. 10 of Mt. Everest from Sentinel 2".
Details: -
Organization: SkyWatch
Mentor(s): Joel Cumming (joel@skywatch.co)
28Bundle Protocol for Delay Tolerant Networking (DTN)
Brief: This project aims to update and merge the bundle protocol, which was first implemented during SOCIS 2013, to the latest ns-3 release or ns-3 AppStore.
Details: https://www.nsnam.org/wiki/SOCIS2019#Bundle_Protocol_for_Delay_Tolerant_Networking_.28DTN.29
Organization: The ns-3 Network Simulator Project
Mentor(s): Dizhi Zhou (dizhizhou@hotmail.com)
29Delay-Tolerant Networking integration
Brief: This project is focused on providing a complete DTN stack by integrating the code from Bundle and LTP projects, and developing a simple DTN routing protocol and simple DTN application.
Details: https://www.nsnam.org/wiki/SOCIS2019#Delay-Tolerant_Networking_integration
Organization: The ns-3 Network Simulator Project
Mentor(s): Tommaso Pecorella (tommaso.pecorella@unifi.it)
30Satellite Mobility Model
Brief: The goal of the idea is to provide a framework to easily define a single satellite or a constellation movement pattern and the user's properties according to a predefined scenario
Details: https://www.nsnam.org/wiki/SOCIS2019#Satellite_Mobility_Model
Organization: The ns-3 Network Simulator Project
Mentor(s): Tommaso Pecorella (tommaso.pecorella@unifi.it)
31Evoplex Scripting Engine
Brief: Evoplex lacks a scripting engine to allow users to create models or graph generators scripts that would behave just like a compiled plugin.
Details: https://github.com/evoplex/evoplex/wiki/SoCiS-2019#scroll-evoplex-scripting-engine
Organization: Evoplex
Mentor(s): Marcos Cardinot (marcos@cardinot.net)
32GUI Improvements
Brief: Although very functional, the Evoplex GUI lacks a lot of features. This project comprises several smaller work packages (WP), which can vary both in difficulty and in time to accomplish.
Details: https://github.com/evoplex/evoplex/wiki/SoCiS-2019#chart_with_upwards_trend-gui-improvements
Organization: Evoplex
Mentor(s): Marcos Cardinot (marcos@cardinot.net)
33Graph Designer
Brief: Evoplex lacks a tool to allow for drawing graphs.
Details: https://github.com/evoplex/evoplex/wiki/SoCiS-2019#art-graph-designer
Organization: Evoplex
Mentor(s): Marcos Cardinot (marcos@cardinot.net)
34gr-satellites, a SDR amateur satellite receiver framework: expanding the CCSDS stack support
Brief: gr-satellites encompasses a collection of telemetry decoders for > 60 different satellites. This project aims to refactor the decoders to avoid excessive repetition, and to make the UI more flexible.
Details: https://wiki.gnuradio.org/index.php/SOCIS/Projects2019#Project_1
Organization: GNU Radio
Mentor(s): Daniel Estévez (daniel@destevez.net)
35Solar Feature Identification and Classification Using Machine Learning
Brief: Applying deep convolutional neural networks to the identification and classification of solar features in data hosted on SolarMonitor.org, and publish the results as new service on SolarMonitor.org
Details: https://www.dias.ie/cp-geophysics/astro/astro-research/astro-solar-physics-and-space-weather/esa-summer-of-code-in-space-2019/
Organization: Dublin Institute for Advanced Studies (DIAS)
Mentor(s): Shane Maloney (shane.maloney@dias.ie)
36Transition CHIMERA algorithm into fully fledged open source package on PyPi
Brief: Publish the CHIMERA algorithm (Garton 2018) as standalone PyPi package. Take research code and refactor so it is self-contained, add tests and online documentation integrate on SolarMonitor.org
Details: https://www.dias.ie/cp-geophysics/astro/astro-research/astro-solar-physics-and-space-weather/esa-summer-of-code-in-space-2019/
Organization: Dublin Institute for Advanced Studies (DIAS)
Mentor(s): Sohpie Murray (sophie.murray@dias.ie)
37Transition SMART algorithm into fully fledged open source package on PyPi
Brief: Publish the SMART algorithm (Higgins et al 2011) as standalone PyPi package. Take research code and refactor so it is self-contained, add tests and online documentation integrate on Solarmonitor.org
Details: https://www.dias.ie/cp-geophysics/astro/astro-research/astro-solar-physics-and-space-weather/esa-summer-of-code-in-space-2019/
Organization: Dublin Institute for Advanced Studies (DIAS)
Mentor(s): Shane Maloney (shane.maloney@dias.ie)
38Space Weather forecasting using machine learning
Brief: Use the [Sunspotter dataset](http://sunspotter.org/) to create a model that will forecast solar flare events using new space observations of solar active regions.
Details: https://openastronomy.org/gsoc/gsoc2019/#/projects?project=space_weather_forecasting_using_machine_learning
Organization: SunPy
Mentor(s): David Perez-Suarez (dps.helio@gmail.com)
39Expand the scope of solarbextrapolation.
Brief: Improve the [solarbextrapolation](https://github.com/sunpy/solarbextrapolation) package by relaxing the small-angle approximation and allowing for extrapolation of global magnetic fields.
Details: https://openastronomy.org/gsoc/gsoc2019/#/projects?project=expand_the_scope_of_solarbextrapolation
Organization: SunPy
Mentor(s): Alex Hamilton (AlexHamiltonBrentwood@gmail.com)
40Software for Evaluation of Data from Cosmic Ray Detectors AIRDOS and SPACEDOS
Brief: Develop software for reception and evaluation data from cosmic ray detectors AIRDOS/SPACEDOS. The online database will be also used for the space weather alert system based on artificial intelligence.
Details: https://github.com/ODZ-UJF-AV-CR/SOCIS_2019/wiki
Organization: Nuclear Physics Institute of the CAS
Mentor(s): Ondrej Ploc (ploc@ujf.cas.cz)
41CubeSat Simulation Models
Brief: Develop generic simulation models for a CubeSat mission. Focus should be a 6-degree-of-freedom model, environment models, power and communication sub-system models and improvement of existing models.
Details: http://open-the-thirdeye.de/index.php/blog/20-project-idea-1
Organization: ThirdEye
Mentor(s): Daniel Stefl (daniel.stefl@spacesystems.cz)
42Extreme mass ratio inspiral (EMRI) simulator
Brief: Develop a package that uses energy balance data to simulate binary black hole inspirals. This will allow users to visualise the orbital evolution of gravitational-wave sources that LISA will observe.
Details: http://bhptoolkit.org/socis2019.html
Organization: Black Hole Perturbation Toolkit
Mentor(s): Barry Wardell (barry.wardell@ucd.ie)
43Multi-platform geodesic integrator in stationary spacetimes
Brief: Design a package that calculates bound orbits and their characteristics in stationary spacetimes. The code will support the analysis of black hole systems detectable by the LISA space mission.
Details: http://bhptoolkit.org/socis2019.html
Organization: Black Hole Perturbation Toolkit
Mentor(s): Niels Warburton (niels.warburton@ucd.ie)
44Rapid calculation of post-Newtonian (PN) energy and angular momentum radiated from black hole binaries
Brief: Develop code to compute the flux of gravitational waves from LISA sources such as binary black holes in elliptic orbits. The code will be accurate to 3PN for arbitrary mass ratio and higher for EMRIs.
Details: http://bhptoolkit.org/socis2019.html
Organization: Black Hole Perturbation Toolkit
Mentor(s): Adrian Ottewill (adrian.ottewill@ucd.ie)
45Improving the Graphical User Interface (GUI) for monitoring the GNSS-SDR status in real time
Brief: A GUI for GNSS-SDR
Details: https://drive.google.com/file/d/1oumzKzhrW4b0tQu1d7BpkllZw0d-E3wQ/view?usp=sharing
Organization: GNSS-SDR
Mentor(s): Carles Fernandez (carles.fernandez@gmail.com)
46Autonomous extraction and clasification of observed data
Brief: Our observation produces huge amount of data.
Details: http://wiki.bolidozor.cz/doku.php?id=en:socis2019
Organization: Bolidozor
Mentor(s): Jakub Kákona (kakonjak@fel.cvut.cz)
47Machine Learning on health-keeping telemetry for cubesat awareness and diagnostic
Brief: The aim is to analyze a set of telemetry from a satellite using machine learning to understand links and dependencies among different satellite subsystems.
Details: https://gitlab.com/librespacefoundation/soc-org/wikis/ESA-SOCIS-2019#machine-learning-on-health-keeping-telemetry-for-cubesat-awareness-and-diagnostic
Organization: Libre Space Foundation
Mentor(s): Redouane Boumghar (redouane.boumghar@free.fr)
48GNU Radio GOES HRIT decoder
Brief: The goal of this activity is to provide a GNU Radio GOES decoder to retrieve weather images with minimal external dependencies that will be integrated into the gr-satnogs existing repo.
Details: https://gitlab.com/librespacefoundation/soc-org/wikis/ESA-SOCIS-2019#gnu-radio-goes-hrit-decoder
Organization: Libre Space Foundation
Mentor(s): Manolis Surligas (surligas@gmail.com)
49Return TM Sync and Decoding
Brief: Develop SDR flowgraphs for commonly used modulations (eg. BPSK, FSK, GMSK, GFSK) to demodulate the radio signal and further decode the signal into bit stream.
Details: https://wiki.librecube.org/index.php?title=ESA_SOCIS_2019
Organization: LibreCube
Mentor(s): Artur Scholz (artur.scholz@librecube.org)
50Return Symbol Stream Reception
Brief: Recover CCSDS Telemetry Frames from an incoming bit stream by looking for a frame synchronization header and applying de-randomization and frame decoding.
Details: https://wiki.librecube.org/index.php?title=ESA_SOCIS_2019
Organization: LibreCube
Mentor(s): Milenko Starcik (starcikm@googlemail.com)
51Unified Space Data Link Protocol (USLP)
Brief: Prototype the USLP frame format using Python language. Prepare a USLP frame sender application and a receiver application.
Details: https://wiki.librecube.org/index.php?title=ESA_SOCIS_2019
Organization: LibreCube
Mentor(s): Milenko Starcik (starcikm@googlemail.com)
52Secure Space Link Protocol
Brief: Prototype the usage of Space Data Link Security Protocol using Python language. Demonstrate coding and decoding of telemetry frames using the CCSDS secure protocol.
Details: https://wiki.librecube.org/index.php?title=ESA_SOCIS_2019
Organization: LibreCube
Mentor(s): Artur Scholz (artur.scholz@librecube.org)
53Whale detection in time and space using AI
Brief: We seek a coder to help us detect whales in very high resolution images from GDBx in the Mediterranean Sea, and identify the time stamp of detection to link to coarser resolution imagery.
Details: https://space-science.wwf.de/esa-summer-of-code/
Organization: World Wide Fund for Nature (WWF)
Mentor(s): Linwood Pendleton (Linwood.Pendleton@wwf.org)
54Flood mapping in the Orinoco Wetland, Colombia
Brief: We wish to understand wetland dynamics using both optical and/or SAR imagery, in order to develop seasonal flooding frequency analyses and make predictions through AI
Details: https://space-science.wwf.de/esa-summer-of-code/
Organization: World Wide Fund for Nature (WWF)
Mentor(s): Johanna Prussmann (jprussmann@wwf.org.co)
55Detecting wildlife waterholes with AI
Brief: Essentially water points for wildlife are visible in high resolution satellite imagery. We hope for automatic detection recognition using GDBx to provide training data for coarser resolution data.
Details: https://space-science.wwf.de/esa-summer-of-code/
Organization: World Wide Fund for Nature (WWF)
Mentor(s): Aurélie Shapiro (aurelie.shapiro@wwf.de)
56Extention of the Web MO Viewer
Brief: Our open-source web application (see link) currently facilitates the viewing of several cutting-edge space standards. We're looking for someone to extend it. Javascript, HTML and XML
Details: https://esa.github.io/mo.viewer.web/
Organization: AGSA Lab
Mentor(s): José Luís Feiteirinha (jose.luis.feiteirinha@esa.int)
57Extension of the GIS visualization layer
Brief: The goal of the development is to enlarge the capacities of the current (Cesium.js based) GIS (Geographic Information System) visualization layer used on Earth Observation applications.
Details: https://cesiumjs.org/
Organization: Thales Alenia Space España
Mentor(s): Ana Solano (ana-maria.solanoros@thalesaleniaspace.com)
58Portable AI solutions for test results analysis
Brief: To train, configure and deploy a deep neural network in a portable VPU to validate its performances, behavior and integration capacity. The POC will be based on pattern recognition on test results.
Details: -
Organization: Thales Alenia Space España
Mentor(s): Carla Salas (carla.salas@thalesaleniaspace.com)
59Signal Detection: Automatic detection of weak and strong signals in the spectrum by machine learning
Brief: Find weak satellite or space radar reflections in given rf-spectrums and the many other signals within in. Detect and classify it by eg. the dopplershift and orbital repetitiveness.
Details: https://aerospaceresearch.net/?page_id=1229
Organization: AerospaceResearch.net
Mentor(s): Andreas Hornig + Daniel Horwedel (esasocis2019@aerospaceresearch.net)
60DirectDemod: Decoding of PSK, BPSK, QPSK of Meteor M2 satellites (Improvement)
Brief: Decode the weather & earth observation images within the Meteor M2 satellite signals. The signal is PSK encoded like many satellites use it and your task is to find the synching location & the images.
Details: https://aerospaceresearch.net/?page_id=1229
Organization: AerospaceResearch.net
Mentor(s): Vinay Chandrasekhar + Andreas Hornig (esasocis2019@aerospaceresearch.net)
61DirectDemod: Improving the Decoding of Automatic Picture Transmission (NOAA)
Brief: The NOAA Weather satellites are good examples for public weather services. Your task is to improve our decoder for it to make it faster & easier to use so it can be used by everyone with a few clicks.
Details: https://aerospaceresearch.net/?page_id=1229
Organization: AerospaceResearch.net
Mentor(s): Vinay Chandrasekhar + Andreas Hornig (esasocis2019@aerospaceresearch.net)
62DirectDemod: Automatic Picture Transmission (NOAA) – BigImage and Globe Projection: Add merger of overlapping noaa records from different stations
Brief: The NOAA weather satellites are "line scanners" showing us the world directly below them as stripes of images like a telefax. Your task is to get us the bigger picture and geo reference all pixels.
Details: https://aerospaceresearch.net/?page_id=1229
Organization: AerospaceResearch.net
Mentor(s): Andreas Hornig + Kai Wilke (esasocis2019@aerospaceresearch.net)
63Lone Pseudoranger: Orbit determination by doppler shift tracking cubesats
Brief: We have the Distributed Ground Station Network and it is helping cubesats to find their orbit. Use machine learning for doppler shift pattern recognition from many stations for orbit determination.
Details: https://aerospaceresearch.net/?page_id=1229
Organization: AerospaceResearch.net
Mentor(s): Aakash Deep + Arya Das + Andreas Hornig + Kai Wilke (esasocis2019@aerospaceresearch.net)
64AI4EO forecast
Brief: We want to develop an open source library to compare Earth Observation and weather forecast services with the actual measurements and assess the accuracy of the forescast
Details: deepblueglobe.eu
Organization: Deep Blue Globe
Mentor(s): Pablo Ruiz Sánchez (info@deepblueglobe.eu)