BRDF-Corrected Vicarious Calibration of FORMOSAT-5 RSI Using RadCalNet: Quantitative Assessment and Implications for TOA Reflectance and NIRv

Yi-Ling Chang, Kuo-En Chang, Kuo-Hsien Hsu, Liang-De Chen, Nguyen Van Hieu, Tang-Huang Lin

Open source

DOI
10.3390/s26123719
Published
2026-06-11
Container
Sensors
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s26123719,
  title = {BRDF-Corrected Vicarious Calibration of FORMOSAT-5 RSI Using RadCalNet: Quantitative Assessment and Implications for TOA Reflectance and NIRv},
  author = {Yi-Ling Chang and Kuo-En Chang and Kuo-Hsien Hsu and Liang-De Chen and Nguyen Van Hieu and Tang-Huang Lin},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26123719},
  url = {https://doi.org/10.3390/s26123719}
}

RIS

TY  - JOUR
TI  - BRDF-Corrected Vicarious Calibration of FORMOSAT-5 RSI Using RadCalNet: Quantitative Assessment and Implications for TOA Reflectance and NIRv
AU  - Yi-Ling Chang
AU  - Kuo-En Chang
AU  - Kuo-Hsien Hsu
AU  - Liang-De Chen
AU  - Nguyen Van Hieu
AU  - Tang-Huang Lin
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26123719
UR  - https://doi.org/10.3390/s26123719
ER  - 

APA

Chang, Y., Chang, K., Hsu, K., Chen, L., Hieu, N. V., & Lin, T. (2026). BRDF-Corrected Vicarious Calibration of FORMOSAT-5 RSI Using RadCalNet: Quantitative Assessment and Implications for TOA Reflectance and NIRv. Sensors. https://doi.org/10.3390/s26123719

Source records