Functional Map of the World - Sentinel-2 corresponding images
Abstract/Contents
- Abstract
The Functional Map of the World - Sentinel-2 corresponding images (fMoW-Sentinel) dataset consists of image time series collected by the Sentinel-2 satellite, corresponding to locations from the Functional Map of the World (fMoW) dataset across several different times. The dataset follows the locations of the fMoW dataset, which are categorized by 62 different types of building/land uses. These images have a 10m spatial resolution, are created from cloud composites over 90 day intervals, and contain one channel for each of the 13 bands of the Sentinel-2 surface reflectance dataset. The dataset is split into train, validation, and test sets according to the original fMoW data splits (metadata is contained in train.csv, val.csv, test_gt.csv), with 712,874 training images, 84,939 validation
images, and 84,966 test images. The fMoW-Sentinel dataset is derived from two data sources with their own licenses: The Functional Map of the World Challenge Public License (https://raw.githubusercontent.com/fMoW/dataset/master/LICENSE) applies to the locations and categories of the images in the dataset (i.e. the data in the metadata CSV files), while the Sentinel-2 License (https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf) applies to the images themselves.
Description
Type of resource | Dataset, cartographic, still image |
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Date created | [ca. June 2021] |
Date modified | October 24, 2022 |
Publication date | October 21, 2022 |
Creators/Contributors
Author | Cong, Yezhen | |
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Author | Khanna, Samar | |
Author | Meng, Chenlin | |
Author | Liu, Patrick | |
Author | Rozi, Erik | |
Author | He, Yutong | |
Author | Burke, Marshall | |
Author | Lobell, David B. | |
Author | Ermon, Stefano |
Subjects
Subject | Remote-sensing images |
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Subject | Land use > Classification > Remote sensing |
Genre | Data |
Genre | Geospatial data |
Genre | Image |
Genre | Data sets |
Genre | Dataset |
Genre | Cartographic dataset |
Bibliographic information
Related item |
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DOI | https://doi.org/10.25740/vg497cb6002 |
Location | https://purl.stanford.edu/vg497cb6002 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred citation
- Cong, Y., Khanna, S., Meng, C., Liu, P., Rozi, E., He, Y., Burke, M., Lobell, D., and Ermon, S. (2022). Functional Map of the World - Sentinel-2 corresponding images. Stanford Digital Repository. Available at https://purl.stanford.edu/vg497cb6002. https://doi.org/10.25740/vg497cb6002.
Collection
Stanford Research Data
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- Contact
- pliu1@stanford.edu
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