Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets
- DOI
- 10.3390/rs14153633
- Published
- 2022-07-29
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs14153633,
title = {Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets},
author = {Rollin Gimenez and Guillaume Lassalle and Arnaud Elger and Dominique Dubucq and Anthony Credoz and Sophie Fabre},
year = {2022},
journal = {Remote Sensing},
doi = {10.3390/rs14153633},
url = {https://doi.org/10.3390/rs14153633}
}RIS
TY - JOUR TI - Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets AU - Rollin Gimenez AU - Guillaume Lassalle AU - Arnaud Elger AU - Dominique Dubucq AU - Anthony Credoz AU - Sophie Fabre PY - 2022 JO - Remote Sensing DO - 10.3390/rs14153633 UR - https://doi.org/10.3390/rs14153633 ER -
APA
Gimenez, R., Lassalle, G., Elger, A., Dubucq, D., Credoz, A., & Fabre, S. (2022). Mapping Plant Species in a Former Industrial Site Using Airborne Hyperspectral and Time Series of Sentinel-2 Data Sets. Remote Sensing. https://doi.org/10.3390/rs14153633
Source records
- crossref · retrieved 2026-09-26T22:53:51.255Z