Abstract:
Mikania micrantha is one of the most harmful weeds in the world, which has strong invasion ability and seriously threatens the local ecosystem. Different flowering monitoring models were established, by using SOC710VP portable imaging hyperspectral spectrometer to obtain hyperspectral data of different flowering stages of
Mikania micrantha, and selecting parameters significantly related to different flowering stages of
Mikania micrantha. The results show that there was obviously a “green peak” and a “red valley” in the spectral reflectance respectively at the blooming and non-blooming stages, while the “green peak” and “red valley” disappeared gradually at the withering stage, and the overall values were in the order of flowering, non-blooming and withering stages; the first-order subdivision curve was in the green light band and red edge while there were obvious “wave peaks” in the three stages of non-blooming, blooming and withering with their values in the order of non-blooming, blooming and withering stages. At 750—900 nm, the wave peaks and wave troughs in blooming and non-blooming periods were similar in frequency ranges, and there were three wave peaks in the withering period with their values decreasing gradually. In different flowering periods, the spectral reflectance and the first-order differential spectrum were significantly correlated at 529—671 nm, 734—744 nm, 770—786 nm, 791—796 nm and 833—838 nm; and the fitting effect of the multiple linear regression model constructed with NDVI, RVI, GI, DVI and HI was the best. The monitoring model, constructed with the hyperspectral characteristic parameters of
Mikania micrantha, can effectively monitor different flowering stages of
Mikania micrantha, and the research results can be used to monitor the occurrence and development of
Mikania micrantha.