Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination

Haiyan Huang, David P. Roy, Luigi Boschetti, Hankui K. Zhang, Lin Yan, Sanath Sathyachandran Kumar, Jose Gomez-Dans, Jian Li

Open source

DOI: 10.3390/rs8100873
Published: 10
Container: Remote Sensing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/rs8100873,
  title = {Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination},
  author = {Haiyan Huang and David P. Roy and Luigi Boschetti and Hankui K. Zhang and Lin Yan and Sanath Sathyachandran Kumar and Jose Gomez-Dans and Jian Li},
  year = {2016},
  journal = {Remote Sensing},
  doi = {10.3390/rs8100873},
  url = {https://doi.org/10.3390/rs8100873}
}

RIS

TY  - JOUR
TI  - Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination
AU  - Haiyan Huang
AU  - David P. Roy
AU  - Luigi Boschetti
AU  - Hankui K. Zhang
AU  - Lin Yan
AU  - Sanath Sathyachandran Kumar
AU  - Jose Gomez-Dans
AU  - Jian Li
PY  - 2016
JO  - Remote Sensing
DO  - 10.3390/rs8100873
UR  - https://doi.org/10.3390/rs8100873
ER  -

APA

Huang, H., Roy, D. P., Boschetti, L., Zhang, H. K., Yan, L., Kumar, S. S., Gomez-Dans, J., & Li, J. (2016). Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination. Remote Sensing. https://doi.org/10.3390/rs8100873

Source records

doaj · retrieved 2026-09-25T00:33:38.071Z