Analysis of Combining SAR and Optical Optimal Parameters to Classify Typhoon-Invasion Lodged Rice: A Case Study Using the Random Forest Method.

Wang J, Li K, Shao Y, Zhang F, Wang Z, Guo X, Qin Y, Liu X

DOI: 10.3390/s20247346
Published: 2020 Dec 21
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s20247346,
  title = {Analysis of Combining SAR and Optical Optimal Parameters to Classify Typhoon-Invasion Lodged Rice: A Case Study Using the Random Forest Method.},
  author = {Wang J and Li K and Shao Y and Zhang F and Wang Z and Guo X and Qin Y and Liu X},
  year = {2020},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s20247346},
  url = {https://doi.org/10.3390/s20247346}
}

RIS

TY  - JOUR
TI  - Analysis of Combining SAR and Optical Optimal Parameters to Classify Typhoon-Invasion Lodged Rice: A Case Study Using the Random Forest Method.
AU  - Wang J
AU  - Li K
AU  - Shao Y
AU  - Zhang F
AU  - Wang Z
AU  - Guo X
AU  - Qin Y
AU  - Liu X
PY  - 2020
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s20247346
UR  - https://doi.org/10.3390/s20247346
ER  -

APA

J, W., K, L., Y, S., F, Z., Z, W., X, G., Y, Q., & X, L. (2020). Analysis of Combining SAR and Optical Optimal Parameters to Classify Typhoon-Invasion Lodged Rice: A Case Study Using the Random Forest Method.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s20247346

Source records

pubmed · retrieved 2026-09-25T00:30:01.062Z