Wind-dependent Variables: Predict Wind Speeds of Tropical Storms Hosted By Radiant Earth Foundation
Throughout a tropical cyclone, humanitarian response efforts hinge on accurate storm intensity estimates. Using satellite images assembled by Radiant Earth Foundation and the NASA IMPACT team, can you estimate the wind speeds of storms at different times?
Good news! The project team from this competition has made the challenge data available for ongoing use, practice and learning. This data will be maintained by the project team and released at their discretion.
For additional information about the data, see the Problem Description page.
Please note that we won't be able to field questions about the data, but we wanted to share it here for the benefit of the community. If you have a question, feel free to post it to the forum.
Tropical Cyclone Wind Estimation Competition Dataset
About Radiant MLHub
Radiant MLHub is an open repository for geospatial machine learning training data. Radiant MLHub hosts open training datasets generated by the Radiant Earth Foundation team as well as other training data catalogs contributed by Radiant Earth’s partners. All the data are hosted in a cloud-friendly format, and the API for allows easy discovery and download. Radiant MLHub is open to anyone to access existing training data and/or share their training data for broader impact.
The Radiant MLHub API is a STAC compliant API that serves metadata about label items and source imagery and links to download these items.
A SpatioTemporal Asset Catalog (STAC) is a standardized specification for organizing metadata, making it easy to search for images or labels that match spatial, temporal, or other criteria. At the root level of the STAC API is a list of collections of items. In the Radiant MLHub API, each collection contains items for either source imagery or labels for a dataset. These items are descriptions of source imagery or labels and links to download assets related to these items. Properties found in these item descriptions include spatial extent, temporal extent, band descriptions in the case of optical imagery, label types and label properties in the case of labels, and other information like Digital Object Identifiers (DOIs) and citation examples to reference.
To learn more about Radiant MLHub API, check out this blogpost on Accessing and Downloading Training Data on the Radiant MLHub API.
Authenticating with the API
To access the Radiant MLHub API, you must be authenticated with an API key. Requests made to the API must contain a query parameter where the key is “key” and the value is your API key. For example, a request made to the
/collections endpoint would look similar to this:
You can obtain an API key by creating a free account on Radiant Earth Foundation's dashboard and navigating to the “API Keys” tab.
Accessing the data
There are three collections that contain data for this competition:
nasa_tropical_storm_competition_train_sourcecontains the train images (jpegs) and metadata (jsons, one per image)
nasa_tropical_storm_competition_train_labelscontains the train labels (jsons, one per image)
nasa_tropical_storm_competition_test_sourcecontains the test images (jpegs) and metadata (jsons, one per image)
To download the tropical storm images, metadata, and labels, you should first crawl the
nasa_tropical_storm_competition_train_labels collection and download the labels file located within the label item. Then, to download the associated image, loop through the links array and navigate to the source imagery items. Source imagery items will have the “rel” type of “source”. Once you navigate to a source imagery item you can find a link to the image (
image) as well as a link to the metadata json (
features) within the
An example notebook which implements these steps can be found here.
Wind-dependent Variables: Predict Wind Speeds of Tropical Storms: Rules and Terms of Data Use
DrivenData Competition Rules
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Private sharing of code
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Winner License Type: Open Source License
Winning solutions need to be made available under The MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT) in order to be eligible for recognition and prize money if offered.
Documentation for winning solutions
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External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
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DrivenData, Inc., Competition Sponsor, and the employees, officers, directors, shareholders, agents, representatives, affiliates, subsidiaries, and advertising, promotional and legal advisors thereof (collectively, the “Released Parties”) are not responsible and shall not be liable for: (i) late, lost, delayed, damaged, misdirected, incomplete, illegible, or unintelligible entries; (ii) telephone, electronic, hardware, or software program, network, Internet, or computer malfunctions, failures, or difficulties; (iii) errors in transmission; (iv) any condition caused by events beyond the control of the Released Parties that may cause the Competition to be disrupted or corrupted; (v) any injuries, losses, or damages of any kind caused by a prize or resulting from acceptance, possession, or use of a prize, or from participation in the Competition (however (but only if required by law in your jurisdiction), this release and hold harmless commitment does not apply to cases of bodily injury or loss of life to the extent that any death or personal injury is caused by the negligence of DrivenData, Competition Sponsor, or other third parties, where liability to the injured party cannot be excluded by law); or (vi) any printing or typographical errors in any materials associated with the Competition.
Disclaimer of Warranties
You understand that we cannot and do not guarantee or warrant that the Data or other files available for downloading from the internet or the Competition Website will be free of viruses or other destructive code. You are responsible for implementing sufficient procedures and checkpoints to satisfy your particular requirements for anti-virus protection and accuracy of data input and output, and for maintaining a means external to our site for any reconstruction of any lost data. RELEASED PARTIES WILL NOT BE LIABLE FOR ANY LOSS OR DAMAGE CAUSED BY A DISTRIBUTED DENIAL-OF-SERVICE ATTACK, VIRUSES OR OTHER TECHNOLOGICALLY HARMFUL MATERIAL THAT MAY INFECT YOUR COMPUTER EQUIPMENT, COMPUTER PROGRAMS, DATA OR OTHER PROPRIETARY MATERIAL DUE TO YOUR USE OF THE WEBSITE OR ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE OR TO YOUR DOWNLOADING OF ANY MATERIAL POSTED ON IT, OR ON ANY WEBSITE LINKED TO IT.
YOUR USE OF THE COMPETITION WEBSITE, ITS CONTENT AND ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE AND RECEIPT OF ANY PRIZES IS AT YOUR OWN RISK. THE WEBSITE, ITS CONTENT AND ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE ARE PROVIDED ON AN “AS IS” AND “AS AVAILABLE” BASIS, WITHOUT ANY WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, BEYOND ANY NON-EXCLUDABLE GUARANTEES (DEFINED BELOW). NEITHER THE RELEASED PARTIES NOR ANY PERSON ASSOCIATED WITH RELEASED PARTIES MAKES ANY WARRANTY OR REPRESENTATION WITH RESPECT TO THE COMPLETENESS, SECURITY, RELIABILITY, QUALITY, ACCURACY OR AVAILABILITY OF THE COMPETITION WEBSITE. WITHOUT LIMITING THE FOREGOING, NEITHER RELEASED PARTIES NOR ANYONE ASSOCIATED WITH THE RELEASED PARTIES REPRESENTS OR WARRANTS THAT THE COMPETITION WEBSITE, ITS CONTENT OR ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE WILL BE ACCURATE, RELIABLE, ERROR-FREE OR UNINTERRUPTED, THAT DEFECTS WILL BE CORRECTED, THAT OUR SITE OR THE SERVER THAT MAKES IT AVAILABLE ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS OR THAT THE COMPETITION WEBSITE OR ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE WILL OTHERWISE MEET YOUR NEEDS OR EXPECTATIONS.
NOTHING IN THESE COMPETITION RULES LIMITS, EXCLUDES, OR MODIFIES OR PURPORTS TO LIMIT, EXCLUDE, OR MODIFY ANY STATUTORY CONSUMER GUARANTEE OR ANY IMPLIED CONDITION OR WARRANTY, THE EXCLUSION OF WHICH FROM THESE COMPETITION RULES WOULD CONTRAVENE ANY STATUTE OR CAUSE ANY PART OF THESE TERMS TO BE VOID (“NON-EXCLUDABLE GUARANTEES”). SUBJECT TO THE LIMITATIONS IN THE PRECEDING SENTENCE AND TO THE MAXIMUM EXTENT PERMITTED BY ANY MANDATORY PROVISIONS OF APPLICABLE LAW, THE RELEASED PARTIES HEREBY DISCLAIM ALL WARRANTIES OF ANY KIND, WHETHER EXPRESS OR IMPLIED, STATUTORY OR OTHERWISE, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT AND FITNESS FOR PARTICULAR PURPOSE.
THE FOREGOING DOES NOT AFFECT ANY WARRANTIES WHICH CANNOT BE EXCLUDED OR LIMITED UNDER APPLICABLE LAW.
Governing Law and Jurisdiction
DrivenData shall be the sole interpreter of these Competition Rules.
All matters relating to the Competition Rules or the Competition and any dispute or claim arising therefrom or related thereto (in each case, including non-contractual disputes or claims), shall be governed by and construed in accordance with the internal laws of the Commonwealth of Massachusetts without giving effect to any choice or conflict of law provision or rule (whether of the Commonwealth of Massachusetts or any other jurisdiction).
The invalidity or unenforceability of any provision of these Competition Rules shall not affect the validity or enforceability of any other provision. In the event that any provision is determined to be invalid or otherwise unenforceable or illegal, these Competition Rules shall otherwise remain in effect and be construed in accordance with their terms as if the invalid or illegal provision was not contained herein.