A Novel Efficient Method for Land Cover Classification in Fragmented Agricultural Landscapes Using Sentinel Satellite Imagery

Xinyi Li, Chen Sun, Huimin Meng, Xin Ma, Guanhua Huang, Xu Xu

Open source

DOI: 10.3390/rs14092045
Published: 04
Container: Remote Sensing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/rs14092045,
  title = {A Novel Efficient Method for Land Cover Classification in Fragmented Agricultural Landscapes Using Sentinel Satellite Imagery},
  author = {Xinyi Li and Chen Sun and Huimin Meng and Xin Ma and Guanhua Huang and Xu Xu},
  year = {2022},
  journal = {Remote Sensing},
  doi = {10.3390/rs14092045},
  url = {https://doi.org/10.3390/rs14092045}
}

RIS

TY  - JOUR
TI  - A Novel Efficient Method for Land Cover Classification in Fragmented Agricultural Landscapes Using Sentinel Satellite Imagery
AU  - Xinyi Li
AU  - Chen Sun
AU  - Huimin Meng
AU  - Xin Ma
AU  - Guanhua Huang
AU  - Xu Xu
PY  - 2022
JO  - Remote Sensing
DO  - 10.3390/rs14092045
UR  - https://doi.org/10.3390/rs14092045
ER  -

APA

Li, X., Sun, C., Meng, H., Ma, X., Huang, G., & Xu, X. (2022). A Novel Efficient Method for Land Cover Classification in Fragmented Agricultural Landscapes Using Sentinel Satellite Imagery. Remote Sensing. https://doi.org/10.3390/rs14092045

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doaj · retrieved 2026-09-25T06:14:44.354Z