NOTICE

ResNeTS

Code release for:

- "ResNeTS: a ResNet for Time Series Analysis of Sentinel-2 Data Applied to
Grassland Plant-Biodiversity Prediction"
- DOI: 10.1109/JSTARS.2024.3454271

Copyright 2024 Álvaro Goldar Dieste

This project is licensed under the Apache License, Version 2.0; see the LICENSE
file for details.

This project implements multiple deep learning models for time series analysis.
Some of these models are reimplementations of works by other authors. The
publicly available code repositories of these works have been used as guidance
during the development of this project to ensure equivalent functionality. All
relevant references are provided where applicable.

The dataset used in this project is derived from public data available at the
repository of the Biodiversity Exploratories BExIS
(https://www.bexis.uni-jena.de/); accession numbers 30969 (Sentinel-2 time
series) and 27386 (Species inventories). This data is used in compliance with
the terms of their respective licenses.

We are committed to complying with all applicable licenses and respecting the
intellectual property rights of others. If you believe there has been a lapse
in proper attribution or a violation of licensing terms, please contact us. We
are committed to resolving any such issues promptly.