Blend_Moo14: Algorithm blending framework by Moore et al. (2014)

In bishun945/FCMm: Fuzzy Cluster Method Based on the Optimized m Value (Fuzzifier)

Description

Algorithm blending framework by Moore et al. (2014)

Usage

Blend_Moo14(Rrs, wv_range = 3, ...)

Arguments

Rrs	Rrs data.frame input for matching centroids and calculating Chla
wv_range	Number that used to define the range of wavelength to capture the center wavelength of required band
...	parameters of apply_FCM_m

Value

A list includes Chla_blend, Rrs, res_FCM (the return of apply_FCM_m), and estimates from optimal algorithms.

References

Moore T S, Dowell M D, Bradt S, et al. An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters[J]. Remote sensing of environment, 2014, 143: 97-111.

See Also

Other Algorithms: Chla concentration: Blend_Bi21(), Blend_FCMm(), Blend_Jac17(), Blend_Smith18(), Bloom(), C6(), Chla_FBA, Chla_Gil10_Git11, Chla_OCx_OLCI, FCM_m_Chla_estimation(), Gons08(), NDCI_Mi12(), OCI_Hu12(), QAA_v5(), SCI_Shen10(), TC2(), run_all_Chla_algorithms()

Examples

library(FCMm)
data(WaterSpec35)
res = Blend_Moo14(WaterSpec35[, -c(1, 2)])

bishun945/FCMm documentation built on Oct. 15, 2021, 6:43 p.m.