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Titel:

Hyperspectral indices optimization algorithms for estimating canopy nitrogen concentration in potato (Solanum tuberosum L.)

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yang, Haibo; Li, Fei; Hu, Yuncai; Yu, Kang
Abstract:
Many empirical models based on hyperspectral indices (HIs) have been developed to estimate nitrogen (N) status of crops. However, most of the researches by far focused on the identification of sensitive bands of HIs, and have not identified the importance of formula formats to achieve their best performance. The current study aimed to investigate the response of band optimization and formula formats to canopy N concentration (CNC) of potato (Solanum tuberosum L.) plants, and to verify the perfor...     »
Zeitschriftentitel:
International Journal of Applied Earth Observation and Geoinformation
Jahr:
2021
Band / Volume:
102
Seitenangaben Beitrag:
102416
Volltext / DOI:
doi:10.1016/j.jag.2021.102416
Verlag / Institution:
Elsevier BV
E-ISSN:
1569-8432
Publikationsdatum:
01.10.2021
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