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ZENODO
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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ZENODO
Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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ZENODO
Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
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ZENODO
Dataset . 2022
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Data sources: Datacite
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Dataset . 2022
License: CC BY
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ZENODO
Dataset . 2022
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Data sources: Datacite
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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Dataset . 2022
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addClaim

OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

Authors: Shiroma, Gustavo H. X.;

OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

Abstract

This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS License Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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